ApsimX-Publications

From CSDMS

ApsimX-Publications

References ApsimX

Total peer and non-peer reviewed publications

1437

Journal Articles

1259

Books

8

Book sections

33

Reports

17

Thesis

31

Abstracts

76

Code

0

Blogs

2

Miscellaneous

0

Web

1

Preprints

6

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Peer reviewed reference(s) Open Access Status Year Cited
Peer reviewed reference(s) Open Access Status Year Cited
Yao, Yao; Du, Mengyin; Xu, Guorong; Lu, Yanhua; Liu, Shuainan; Li, Yanyan; Du, Jun; Li, Jie; Wang, Jun; Yan, Lijuan; Li, Guang; Yuan, Jianyu; 2026. Multi-objective calibration of APSIM Next Generation using NSGA-II for simulating spring wheat yield and soil N₂O emissions under nitrogen gradients: A site-specific case study on the Loess Plateau. Agricultural Systems, 238104849. 10.1016/j.agsy.2026.104849
closed
2026 0
Jantaraprasit, Napat; Promchote, Parichart; Wang, Shih–Yu Simon; Daengnui, Sugontee; Motlagh, Sajad Khoshnood; de Lima Moraes, Andre Geraldo; França, Luthiene; Yoon, Jin–Ho; Phumichai, Chalermpol; Kittipadakul, Piya; Huang, Guangwei; 2026. A machine learning–coupled APSIM model pipeline for projected oil palm yield in Surat Thani, Thailand. PLOS One, 21e0349782. 10.1371/journal.pone.0349782
cc-by · publishedVersion
2026 0
Khaembah, Edith N.; Cichota, Rogerio; Gee, Megan; Brown, Hamish E.; 2026. SCRUM: A simple model for estimating uptake of nitrogen and water by field crops. MethodsX, 16103981. 10.1016/j.mex.2026.103981
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2026 0
Apparao, Ch.; Mani, A.; Krupavathi, K.; Sree, S. Prathibha; Kumar, A. Ashok; 2026. Calibration and Validation of the APSIM Model for Sugarcane Yield Simulation and Climate Change Impact Assessment in Coastal Andhra Pradesh, India. International Journal of Environment and Climate Change, 16654–662. 10.9734/ijecc/2026/v16i55464
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2026 0
Li, Yao; Zhang, Xuegui; Fu, Yujuan; Xu, Jiatun; Gu, Xiaobo; Cai, Huanjie; 2026. Optimization of field water and nitrogen management in summer maize systems in Northwest China based on an APSIM–HYDRUS coupled modeling framework. Agricultural Systems, 237104847. 10.1016/j.agsy.2026.104847
closed
2026 0
Oliveira, Jose R. de; Andrade Júnior, Aderson S. de; Souza, Henrique A. de; Bastos, Edson A.; Bosi, Cristiam; Pezzopane, José R. M.; Bezerra, Ruan L. S.; Santos, Leslly R. C. dos; 2026. Parameterization of the APSIM model in a tropical environment under intercropping and rainfed conditions. Revista Caatinga, 39. 10.1590/1983-21252026v3913722rc
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2026 0
Talukder, A.H.M. Motiur Rahman; Ahmed, Faruque; Ahsan, A.F.M. Shamim; Mahfuza, S.N.; Mustakim, A.A.M.M.; Mokarroma, Nadira; Nahar, Lutfun; Khan, Md Shihab Uddine; Alam, Zakaria; 2026. Dataset on potato phenology, growth, and yield for DSSAT/APSIM crop model calibration at central region of Bangladesh. Data in Brief, 64112363. 10.1016/j.dib.2025.112363
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2026 0
Lokesh, Chilakamari; Gumma, Murali Krishna; Susheela, R.; Ronanki, Swarna; Shankaraiah, M.; Panjala, Pranay; 2026. Integrating Remote Sensing and Crop Simulation Models for Rice Yield Estimation: A Comprehensive Review. AgriEngineering, 888. 10.3390/agriengineering8030088
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2026 0
Wang, Yanbiao; Jiang, Yuanbo; Li, Haiyan; Li, Boda; Chen, Jinxi; Yin, Minhua; Kang, Yanxia; Qi, Guangping; Ma, Yanlin; Xie, Bojie; Jin, Haoxiang; Wu, Tongjin; Li, Shan; 2026. Optimal Nitrogen Application Strategies for Alfalfa Under Different Precipitation Patterns: Balancing Yield, Nitrogen Fertilizer Use Efficiency, and Soil Nitrogen Residue. Plants, 15333. 10.3390/plants15020333
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2026 0
Grewer, Uwe; Zull, Andrew; Anderson, Roy; Pembleton, Keith G.; 2026. Crop models as decision support tools in digital agriculture: The APSIM-based RotationARM tool in Australia. Computers and Electronics in Agriculture, 247111725. 10.1016/j.compag.2026.111725
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2026 0
Hossain, Md Belal; Zeleke, Ketema; Liu, De Li; Shamsul Haque, K. M.; Wang, Bin; 2026. Modelling Climate Change Impact on Rice Growth and Yield in Northwest Bangladesh. Journal of Sustainable Agriculture and Environment, 5. 10.1002/sae2.70116
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2026 0
Pinto, Jose G. C. P.; Balboa, Guillermo R.; Mueller, Nathan D.; Slater, Glen; Frels, Katherine; dos Santos, Caio L.; Miguez, Fernando E.; Lollato, Romulo P.; Puntel, Laila A.; 2026. Evaluation of APSIM next generation for simulating winter wheat growth, yield response to nitrogen, and nitrogen dynamics. Frontiers in Agronomy, 7. 10.3389/fagro.2025.1740421
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2026 2
Dube, Farayi; Moyo, Martin; Bjornlund, Henning; Joseph, Jacob Emanuel; Mafongoya, Paramu; Akinseye, Folorunso M.; Rooyen, Andre van; Dube, Thabani; Pittock, Jamie; 2026. Closing the Nutrient Loop in Smallholder Irrigated Agriculture Through Manure Recycling: Assessing Productivity Response Under Future Climate Stress in Zimbabwe. Agronomy, 161052. 10.3390/agronomy16111052
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2026 0
Uduwawala, Hashan; Bandara, B. A. I. S. L.; De Silva, S. H. N. P.; Egodawatta, W. C. P.; 2026. Model-Assisted Optimization of Nitrogen Fertilizer Rates for Maize in Dry Zone of Sri Lanka under Current and Future Climate Scenarios. Journal of Agriculture and Horticulture Research, 901–06. 10.33140/JAHR.09.01.14
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2026 0
Dodewar, P. G.; Brahmanand, P. S.; Pillai, Subash N.; Srivastava, S. K.; Bana, R. S.; Prajapati, V. K.; Chellapilla, Bharadwaj; Sudhishri, Susama; Jena, Twinkle; 2026. Crop simulation-based assessment of yield gaps and water productivity for improving blackgram (Vigna mungo L.) production across diverse ecologies of India. Frontiers in Agronomy, 8. 10.3389/fagro.2026.1775298
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2026 0
Baskar, V. David Chella; Hansda, Smriti; Singh, Shailendra; Kumar, Rajnish; Lal, B.; Gautam, Priyanka; Rathore, Vs; 2026. Integration of Remote Sensing and Crop Modeling for Yield Prediction: A Review. Journal of Advances in Biology & Biotechnology, 29673–690. 10.9734/jabb/2026/v29i43827
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2026 0
Daimonakos, V.; Adams, R.; O'Loughlin, F.E.; 2026. Models for predicting nitrate leaching and assessing cover crop mitigation: A systematic review. Journal of Environmental Management, 408130004. 10.1016/j.jenvman.2026.130004
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2026 0
Das, Nilotpal; Mandal, Argha; Sarkar, Meghna; Dasannavar, Gururaj; Dutta, Krishnendu; 2026. Impact of Elevated Carbon Dioxide and Temperature on Greenhouse Gas (GHG) Emissions in Rice and Their Simulation: A Review. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 2786–105. 10.56557/pcbmb/2026/v27i1-210203
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2026 1
Niu, Xiaoli; Yang, Zhen; Zhang, Jie; Sun, Xiaoqing; Liu, Zhandong; Jin, Shihao; Cai, Jiaxing; Zhang, Bingwu; Sun, Yunyan; 2026. Optimizing Sowing Date and Nitrogen Management to Trade Off Yield and Nitrate Leaching in Maize-Soybean Intercropping Under CMIP6 Climate Scenarios in the North China Plain. Plants, 151753. 10.3390/plants15111753
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2026 0
Ibrahim, Omar Maghawry; Mohamed, Sami Zaki; Darwish, Khaled M.; El-Tahan, Amira M.; 2026. Fewer Leaves, More Resilience: Exploring Spring Wheat Tolerance to Climate Change in Arid Mediterranean Environments using APSIM NG. Egyptian Journal of Agronomy, 0899–911. 10.21608/agro.2026.408002.1788
closed
2026 0
Navid, Sorayya; Jahansouz, Mohammadreza; Soufizadeh, Saied; 2026. The efficiency of the APSIM model in estimating yield and yield gaps in winter wheat and barley. Agronomy Journal, 118. 10.1002/agj2.70280
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2026 1
Khan, M A; Verma, S; Kushwaha, M; Pradhan, S S; Pratap, D; Yadav, S K; 2026. Nanotechnology and adaptive agronomy for climate–resilient wheat production: A global perspective. Plant Science Today, 13. 10.14719/pst.11895
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2026 0
Qiao, Yu-Xin; Li, Cheng-Yue; Kang, Xiao-Yu; Zhang, Xin-Qi; Jia, Shao-Hui; Liu, Qian; Cao, Ya-Li; Shi, Xin-Rui; Hao, Xing-Yu; Li, Ping; 2026. Study on the effects of long-term no-tillage straw mulching on wheat yield improvement in dryland areas based on the APSIM model. Acta Agronomica Sinica, 521181–1192. 10.3724/SP.J.1006.2026.51067
cc-by-nc-nd · publishedVersion
2026 0
Yang, Xiumei; Brown, Hamish E.; Teixeira, Edmar I.; Ta, Hung; Hoppen, Sarah M.; Moot, Derrick J.; 2026. Development of a lucerne model in APSIM next generation: 4 N dynamics and forage quality of genotypes with different fall dormancies. European Journal of Agronomy, 180128196. 10.1016/j.eja.2026.128196
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2026 0
Bharadwaj, Sneha; Parihar, C.M.; Sarkar, Ayan; Nayak, H.S.; Sena, D.R.; Patra, Kiranmoy; Reddy, K. Srikanth; Sinha, Alok; Patra, Madhumita; Makdoh, Badapmain; Sherpa, Sonam R.; Choudhury, Burhan U.; 2026. Adaptation strategies for climate-resilient rice production in the eastern Himalayan India: Insights from field experiments and long-term APSIM assessments. Agricultural Systems, 236104776. 10.1016/j.agsy.2026.104776
closed
2026 0
Gunarathna, M. H. J. P.; Sakai, Kazuhito; Kumari, M. K. N.; 2026. Assessing the aplicability of OPSIS for sustainable sugarcane production in Sri Lanka. Frontiers in Sustainable Food Systems, 9. 10.3389/fsufs.2025.1693737
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2026 0
Oliveira, Jose Roberto de; Andrade Júnior, Aderson Soares de; Bosi, Cristiam; Pezzopane, José Ricardo Macedo; Sousa, Henrique Antunes de; Bastos, Edson Alves; Bezerra, Ruan Luis Santana; Silva, Maria Eduarda Cabral da; 2026. Parameterization of the apsim model for irrigated maize–signalgrass intercropping system. Acta Scientiarum. Agronomy, 48e74900. 10.4025/actasciagron.v48i1.74900
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2026 0
Ebbisa, Addisu F.; Dechassa, Nigussie; Bekeko, Zelalem; Liben, Feyera; 2026. Modeling the role of planting density and fertilizer in reducing the negative effects of rainfall viability on sorghum production in eastern Ethiopia using APSIM. Scientific Reports, . 10.1038/s41598-026-48796-6
cc-by-nc-nd · publishedVersion
2026 0
He, Di; Wang, Enli; Sevenster, Maartje; Brown, Stuart; Kirkegaard, John; Lilley, Julianne; 2026. Process-based modelling in farm greenhouse gas assessment reveals site-specific dynamics and limitations of emission factor methods. Agronomy for Sustainable Development, 46. 10.1007/s13593-026-01104-y
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2026 0
Hu, Pengcheng; He, Di; Zheng, Bangyou; Whish, Jeremy; Kirkegaard, John; Bell, Lindsay; Leske, Brenton; Chen, Sheng; Uppal, Rajneet; Biddulph, Ben; Trethowan, Richard; Beletse, Yacob; Lilley, Julianne; 2026. Event-based frost and heat damage functions improve yield predictions of APSIM canola and wheat: formulation, calibration, and evaluation. Agricultural and Forest Meteorology, 386111239. 10.1016/j.agrformet.2026.111239
cc-by-nc · publishedVersion
2026 0
Zhao, Yanxi; Xiao, Dengpan; 2026. Effect of future climate change and adjusting the sowing date on wheat production in the North China plain. Theoretical and Applied Climatology, 157. 10.1007/s00704-026-06088-z
closed
2026 0
Wang, Sijia; Jin, Junli; Li, Yue; Lv, Shanshan; Li, Yanan; Wu, Di; Bol, Roland; 2026. Optimizing Diversified Crop Rotation Strategies Under Temperature and Precipitation Change Scenarios in a Typical Agro-Pastoral Ecotone Using the APSIM Model. Agronomy, 16381. 10.3390/agronomy16030381
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2026 0
Zhou, Litao; Wu, Jianjun; Lin, Jingyu; Du, Ruohua; Yang, Rui; Zhang, Jianhang; Yuan, Hao; Feng, Xinyao; 2026. Evaluation of Driving Factors of Triticum aestivum (Wheat) Yield Change in Huang‐Huai‐Hai Plain Under Climate Change. Journal of Agronomy and Crop Science, 212. 10.1111/jac.70186
closed
2026 0
Wang, Hongqin; Li, Lei; Li, Jiaxue; Xiang, Jinbiao; He, Yong; 2026. Irrigation buffers climate influence: Stable parameter sensitivities in APSIM-wheat under warm-temperate monsoon conditions. Ecological Modelling, 517111586. 10.1016/j.ecolmodel.2026.111586
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2026 0
Cheng, Chen; Yan, Jintao; Lyu, Yue; Tang, Shunjie; Chen, Shaoqing; Chen, Xianguan; Wu, Lu; Gong, Zhihong; 2026. Simulation Study on the Yield Reduction Risk of Late Sowing Winter Wheat and the Compensation Effect of Soil Moisture in the North China Plain. Agriculture, 16183. 10.3390/agriculture16020183
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2026 0
Magala, Richard; Schulte, Lisa A.; 2026. apsimNGpy: A comprehensive Python framework for interactive, reproducible, and scalable simulations of the APSIM Next Generation model. SoftwareX, 33102496. 10.1016/j.softx.2025.102496
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2026 0
Li, Siyi; Wang, Bin; Liu, De Li; Chen, Chao; Feng, Puyu; Huete, Alfredo; Yu, Qiang; 2026. Compound Drought and Temperature Events Intensify Wheat Yield Loss in Australia. Earth's Future, 14. 10.1029/2023EF004124
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2026 1
Wang, Zikui; Liu, De Li; Wang, Bin; Cowie, Annette; Simmons, Aaron; He, Qinsi; 2026. Production advantage of crop-ley pasture-livestock mixed farming over pure-cropping system under climate change. Agronomy for Sustainable Development, 46. 10.1007/s13593-025-01080-9
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2026 0
Dhole, Ishwari  P.; . Sawarkar, Diksha G; Morey,      Dhanashree A.; Bobade, Saket R.  ; Dhopte, Sumit M.; 2026. Advanced Smart Agriculture System Using Edge AI, IOT, Deep Learning,and Blockchain. International Journal of Scientific Research in Engineering and Management, 101–9. 10.55041/IJSREM57316
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2026 0
Innes, P.J.; Newell, M.T.; Pembleton, K.G.; Hayes, R.C.; Radanielson, A.M.; 2026. An Intermediate Wheatgrass model for APSIM Next Generation. European Journal of Agronomy, 172127858. 10.1016/j.eja.2025.127858
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2026 0
Zhen, Xiaoxing; Sadok, Walid; 2026. Increasing transpiration sensitivity to rising vapour pressure deficit raises US spring wheat yields under current and future climates: a two-model simulation study. in silico Plants, 8. 10.1093/insilicoplants/diag013
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2026 0
Peethani, Sujatha; Kumar, G. Kishore; Kheir, Ahmed Ms; 2025. Crop vulnerability and climate adaptation to moisture stress in the semi-arid zones of Senegal. Journal of Agrometeorology, 27421–428. 10.54386/jam.v27i4.3055
cc-by-nc-sa · publishedVersion
2025 1
Kanda, Edwin Kimutai; 2025. Deficit irrigation: A review of theory, practice, and modelling. CABI Reviews, . 10.1079/cabireviews.2025.0026
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2025 0
Jansen, Lennart; Undorf, Sabine; Gornott, Christoph; 2025. Current and future adaptation potential of heat-tolerant maize in Cameroon: a combined attribution and adaptation study. Environmental Research Letters, 20024027. 10.1088/1748-9326/ada459
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2025 3
Yang, Xuening; Zhang, Xuanze; Zhao, Zhigan; Ma, Ning; Tian, Jing; Xu, Zhenwu; Zhang, Junmei; Zhang, Yongqiang; 2025. Rainfall and maximum temperature are dominant climatic factors influencing APSIM-Maize cultivar parameters sensitivity in semiarid regions. European Journal of Agronomy, 164127494. 10.1016/j.eja.2024.127494
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2025 7
Yadav, Brijesh; Krishnan, Prameela; Parihar, C. M.; Banerjee, Koushik; 2025. Modelling crop growth and soil hydrothermal regimes under conservation agriculture using APSIM-wheat. Scientific Reports, 15. 10.1038/s41598-025-20211-6
cc-by-nc-nd · publishedVersion
2025 1
Karunaratne, A. S.; Iizumi, Toshichika; 2025. A climate impact attribution of historical rice yields in Sri Lanka using three crop models. Scientific Reports, 15. 10.1038/s41598-025-00262-5
cc-by-nc-nd · publishedVersion
2025 3
Chauhdary, Junaid Nawaz; Li, Hong; Pan, Xuwei; Zaman, Muhammad; Anjum, Shakeel Ahmad; Yang, Fan; Akbar, Nadeem; Azamat, Urunbayev; 2025. Modeling effects of climate change on crop phenology and yield of wheat–maize cropping system and exploring sustainable solutions. Journal of the Science of Food and Agriculture, 1053679–3700. 10.1002/jsfa.14134
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2025 8
Bhat, Shabir Ahmad; Wani, Aadil Akbar; Bhat, Tabasum; Bashir, Basharat; Afzal, Suhaib; Ali, Insha; Javid, Iqra; Hussain, Aamir; Gulzar, Marifa; Nazir, Bisma; Nissar, Nadeem; 2025. Forecasting the Future of Food: An Integrated Review of Crop and Climate Simulation Models. International Journal of Environment and Climate Change, 15330–337. 10.9734/ijecc/2025/v15i115117
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2025 1
Liu, Xia; Yan, Zongzheng; Shen, Yan-Jun; Min, Leilei; Wang, Shiqin; Shen, Yanjun; Guo, Ying; 2025. Corrigendum to “Quantifying the effects of irrigation schedule on groundwater level variability using a linked APSIM-MODFLOW model framework” [Agric. Water Manag. 316, 2025, 109610]. Agricultural Water Management, 320109843. 10.1016/j.agwat.2025.109843
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2025 0
Ronix, Amanda; da Silva Neto, Eduardo Carvalho; Cerri, Carlos Eduardo Pellegrino; Latawiec, Agnieszka Ewa; Carvalho, João Luís Nunes; 2025. Incorporating Biochar Into Biogeochemical Models: Achievements and Challenges. GCB Bioenergy, 17. 10.1111/gcbb.70037
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2025 3
Mamassi, Achraf; Tychon, Bernard; Hamma, Abdellah; Balaghi, Riad; Gharous, Mohamed El; Marrou, Hélène; 2025. Design and Evaluation of Fertilization Rule-Based Strategy with APSIM-Wheat Model: For a Climate Responsive and Risk Proofing Fertilization in Morocco. International Journal of Plant Production, 19325–340. 10.1007/s42106-025-00348-0
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2025 2
Maluvu, Zipporah; Oludhe, Christopher; 2025. Green gram yield projections for Kibwezi east subcounty Kenya using the APSIM model under RCP's 4.5 and 8.5. Journal of Agrometeorology, 2733–37. 10.54386/jam.v27i1.2722
cc-by-nc-sa · publishedVersion
2025 0
Deshpande, Harish; Deshmukh, Harshada; Dalawai, Ningaraj; 2025. Remote Sensing and Precision Agronomy: A Comprehensive Review of Applications and Prospects. Journal of Advances in Biology & Biotechnology, 28582–602. 10.9734/jabb/2025/v28i113259
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2025 0
Verburg, Kirsten; Pasley, Heather R.; Biggs, Jody S.; Vogeler, Iris; Wang, Enli; Mielenz, Henrike; Snow, Val O.; Smith, Chris J.; Pasut, Chiara; Basche, Andrea D.; He, Di; Archontoulis, Sotirios V.; Gaydon, Donald S.; Huth, Neil I.; Holzworth, Dean P.; Sharp, Joanna M.; Cichota, Rogerio; Khaembah, Edith N.; Teixeira, Edmar I.; Brown, Hamish E.; Farrell, Mark; Janke, Chelsea K.; Gupta, Vadakattu V.S.R.; Thorburn, Peter J.; 2025. Review of APSIM's soil nitrogen modelling capability for agricultural systems analyses. Agricultural Systems, 224104213. 10.1016/j.agsy.2024.104213
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2025 15
Guidigan, Meminvegni Landry Gildas; Dossou‐Yovo, Elliott Ronald; Ra‐danielson, Ando Mariot; Akpoti, Komlavi; Tapily, Assa; Iboko, Maduabuchi Paul; Balogun, Ahmed Adedoyin; 2025. Mitigating climate change impacts on West African rice yields: Evaluating APSIM‐ORYZA and management practices. Agronomy Journal, 117. 10.1002/agj2.70113
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2025 2
Guo, Jing; Fei, Teng; Yang, Xiumei; Lilburne, Linda; Moot, Derrick; Martin, Brent; Teixeira, Edmar; Yang, Man; 2025. Can we use APSIM’s embedded expert knowledge to ‘train’ a machine learning model to identify, at high resolution, land suitable to grow lucerne (Medicago sativa L.) using simplified climate data?. European Journal of Agronomy, 171127815. 10.1016/j.eja.2025.127815
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2025 2
Li, Yang; Wang, Jing; Wang, Peijuan; Chen, Renwei; Bai, Rui; Hu, Qi; Yin, Hong; Cammarano, Davide; 2025. Safe and optimal transplanting windows for high yield of potato in China. Crop & Pasture Science, 76. 10.1071/CP25015
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2025 0
Nidumolu, Uday; Hayman, Peter; Fletcher, Andrew; Ota, Noboru; Round, Vanessa; Thomas, Dane; Chen, Chao; Cooper, Bronya; Ratcliff, Christina; 2025. Farming on the edge: assessing the impact of historical and future climate change on the mediterranean cropping margins of Australia. Climatic Change, 178. 10.1007/s10584-025-03915-6
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2025 1
Hosseinpour, Shayan; Pirdashti, Hemmatollah; Kaveh, Mohammad; Dokoohaki, Hamze; Mousavi, Hesam; 2025. Determination of a Sustainable Management for Rice Production Through a Modeling Approach. International Journal of Plant Production, 1947–64. 10.1007/s42106-024-00319-x
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2025 4
Rahimi, Mohammad Reza; Deihimfard, Reza; Noori, Omid; 2025. Analyzing unexploitable, agronomic, and non-agronomic yield gaps in irrigated barley growing areas of arid and frost-prone regions from Iran. Agronomy for Sustainable Development, 45. 10.1007/s13593-024-01002-1
other-oa · submittedVersion
2025 2
Raymond, Nelly S.; Kopittke, Peter M.; van der Bom, Frederik J.T.; Wang, Enli; Bell, Michael J.; 2025. Phosphorus dynamics in P-depleted sub-surface of cropping soils in northeast Australia: Evaluating the potential of APSIM for simulation and the influence of soil properties. Geoderma, 455117209. 10.1016/j.geoderma.2025.117209
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2025 1
Li, Yanyan; Yao, Yao; Du, Mengyin; Dong, Lixia; Yuan, Jianyu; Li, Guang; 2025. APSIM NG Model Simulation of Soil N2O Emission from the Dry-Crop Wheat Field and Its Parameter Sensitivity Analysis. Agronomy, 15834. 10.3390/agronomy15040834
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2025 4
Gajjala, Snigdha; Gumma, Murali Krishna; Panjala, Pranay; Neelima, T.L.; 2025. Rice Yield Assessment in Nalgonda: A Comparative Study of APSIM and Semi-Physical Models with Remote Sensing Integration. Journal of Scientific Research and Reports, 31371–384. 10.9734/jsrr/2025/v31i93501
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2025 0
Bai, Huizi; Tang, Jianzhao; Xiao, Dengpan; Liu, De Li; Song, Yang; 2025. Future climate change impacts on grain yield and agricultural greenhouse-gas emissions under different cropping systems in the North China Plain. Crop & Pasture Science, 76. 10.1071/CP25045
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2025 1
Ma, Chenguang; Xıa, Longfeı; Weı, Yang; Lı, Jıan; Mu, Zhezhe; Zhang, Zhaorong; Shı, Haılan; Xu, Yan; 2025. Effects of projected climate change on spring maize in rain-fed agriculture system of the Loess Plateau. Bangladesh Journal of Botany, 841–853. 10.3329/bjb.v54i30.85188
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2025 0
Liu, Yen-Yu; Su, Yuan-Chih; Sun, Ping-Wei; Dai, Hung-Yu; Kuo, Bo-Jein; 2025. Stability of Maize Phenology Predictions by Using Calendar Days, Thermal Functions, and Photothermal Functions. Agriculture, 152020. 10.3390/agriculture15192020
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2025 0
Agrawal, Nickey; Puranik, Harsh Vardhan; Das, Gopi Krishna; 2025. Calibration and validation of CERES-wheat and APSIM models for different wheat varieties in Raipur district of Chhattisgarh. International Journal of Research in Agronomy, 8191–200. 10.33545/2618060X.2025.v8.i2c.2573
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2025 0
Liu, Lu; Chen, Xi; 2025. Estimation of the Impact of Climate Warming on Spring Wheat ( Triticum aestivum L.) Phenology From Observations and Modelling in the Arid Region of Northwest China. Journal of Agronomy and Crop Science, 211. 10.1111/jac.70011
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2025 3
Zhao, Zhengxin; Li, Zongyang; Li, Yao; Yu, Lianyu; Gu, Xiaobo; Cai, Huanjie; 2025. Optimization of water and nitrogen measures for maize-soybean intercropping under climate change conditions based on the APSIM model in the Guanzhong plain, China. Agricultural Systems, 224104236. 10.1016/j.agsy.2024.104236
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2025 17
Zhang, Weina; Xu, Dongzhi; Wang, Han; Jiang, Bingshen; Liang, Changli; Huang, Minzhi; Chen, Zilong; Zhang, Xinmin; Su, Dong; Yu, Mingfu; Liu, Junhe; 2025. Modeling Long-Term Impacts of Phosphorus Fertilization Strategies on Maize Productivity and Soil P Dynamics in Calcareous Soils of North China Plain. Spanish Journal of Soil Science, 15. 10.3389/sjss.2025.14718
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2025 2
Cheng, Chen; Wu, Lu; Liu, Hongyan; Liang, Boyi; Zhu, Xinrong; Yang, Feiyun; 2025. Divergent response of grassland aboveground net primary productivity and precipitation utilization efficiency to altered precipitation patterns by process-based model. Frontiers in Plant Science, 16. 10.3389/fpls.2025.1487907
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2025 3
Li, Yang; Wang, Jing; Wang, Peijuan; Chen, Renwei; You, Chao; Huang, Mingxia; Hu, Qi; Yin, Hong; Zhang, Yuanda; 2025. Climatic Zoning and Suitability Assessment for Potato Cultivation in China: An Integrated Climatic Suitability Index and Crop Model Approach. Journal of Meteorological Research, 391365–1378. 10.1007/s13351-025-5028-y
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2025 2
Yin, Jiade; Liang, Jinyu; Hou, Huizhi; Ma, Mingsheng; Fang, Yanjie; Liu, Yanlan; Wang, Hongli; Lei, Kangning; 2025. Modeling optimal nitrogen application rate and placement for maximizing wheat yield in a semi-arid environment using APSIM. Agricultural Water Management, 321109896. 10.1016/j.agwat.2025.109896
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Wang, Yanbiao; Li, Haiyan; Jiang, Yuanbo; Duan, Yaya; Ling, Yi; Yin, Minhua; Ma, Yanlin; Kang, Yanxia; Wang, Yayu; Qi, Guangping; Shen, Guoyun; Li, Boda; Chen, Jinxi; Lv, Huile; 2025. Using APSIM Model to Optimize Nitrogen Application for Alfalfa Yield Under Different Precipitation Regimes. Agriculture, 151789. 10.3390/agriculture15161789
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2025 1
Lu, Yang; Xiao, Dengpan; Qi, Yongqing; Ren, Dandan; Luo, Jiangmei; Shen, Yanjun; 2025. Assessing water and nitrogen footprints of alternative cropping systems across the precipitation gradient of the North China Plain. Agronomy for Sustainable Development, 45. 10.1007/s13593-025-01061-y
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2025 1
Miao, Qingfeng; Yu, Dandan; Shi, Haibin; Feng, Zhuangzhuang; Feng, Weiying; Li, Zhen; Gonçalves, José Manuel; Duarte, Isabel Maria; Li, Yuxin; 2025. Modeling sunflower yield and soil water–salt dynamics with combined fertilizers and irrigation in saline soils using APSIM and deep learning. Environmental Sciences Europe, 37. 10.1186/s12302-025-01145-2
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Yang, Xuan; Cheng, Huaqiang; Hou, Qingqing; He, Shijia; Liu, Peng; Xia, Fangshan; 2025. Evaluating climate change's effects on yield and economic return of cropping systems in northern Shanxi, China. Agronomy Journal, 117. 10.1002/agj2.70247
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Beah, Aloysius Alysius; Akinseye, Folorunso Matthew; Kamara, Alpha Yaya; Jibrin, Jibrin Mohamed; Tofa, Abdullahi Ibrahim; 2025. Potential impact of climate change on drought-tolerant maize varieties and nitrogen fertilization in Nigeria savannas: a decision support tool (DST) analysis. International Journal of Climate Change Strategies and Management, 171017–1035. 10.1108/IJCCSM-10-2023-0123
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Rusinamhodzi, Leonard; Berre, David; Thierfelder, Christian; Ridaura, Santiago-Lopez; Corbeels, Marc; 2025. Modelling the climate change adaptation potential of no-tillage maize systems in southern Africa. Mitigation and Adaptation Strategies for Global Change, 30. 10.1007/s11027-025-10223-y
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2025 1
Zhu, Meiqing; Jiao, Yimeng; Wu, Chenchen; Shi, Wenjiao; Huang, Hongsheng; Zhang, Ying; Zhao, Xiaomin; Guo, Xi; Zhang, Yongshou; Yue, Tianxiang; 2025. Simulation and Optimization of Double-Season Rice Yield in Jiangxi Province Based on High-Accuracy Surface Modeling–Agricultural Production Systems sIMulator Model. Agriculture, 151034. 10.3390/agriculture15101034
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2025 1
Vogeler, Iris; Kluß, Christof; Taube, Friedhelm; Melo, Leônidas; 2025. Variable-rate nitrogen fertilisation to improve silage maize yield and crude protein using APSIM modelling. Soil Research, 63. 10.1071/SR24180
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Mamassi, Achraf; Nhamo, Nhamo; Gummadi, Sridhar; Ammar, Khalil; Dhanhani, Mohamed Ahmed Hamdan Al; Hashmi, Hamed Abdullah Al; Bouras, Hamza; Accatino, Francesco; Zaaboul, Rashyd; 2025. Climate change and irrigation management shape crop resilience in UAE arid agriculture: APSIM model-driven assessment. Agricultural Water Management, 319109819. 10.1016/j.agwat.2025.109819
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Zhu, Huanqing; Nie, Zhigang; Li, Guang; 2025. Multi-Objective Co-Optimization of Parameters for Sub-Models of Grain and Leaf Growth in Dryland Wheat via the DREAM-zs Algorithm. Agriculture, 16107. 10.3390/agriculture16010107
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Pathak, Harsh; Buckmaster, Dennis R.; Kaur, Upinder; Mandrini, German; Poudel, Pratishtha; 2025. Understanding Corn Production Complexity: Causal Structure Learning and Variable Ranking from Agricultural Simulations. AgriEngineering, 7366. 10.3390/agriengineering7110366
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2025 0
Kouadio, Louis; Fraser, Kristina; Ibrahim, Ali; Saito, Kazuki; Dougbedji, Fatondji; Senthilkumar, Kalimuthu; Yadav, Rattan Singh; 2025. Assessing yield stability of pearl millet and rice cropping systems across West Africa using long-term experiments and a modeling approach. PLOS One, 20e0317170. 10.1371/journal.pone.0317170
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2025 1
Zhang, Ying; Ai, Pengrui; Ma, Yingjie; Fu, Qiuping; Ma, Xiaopeng; 2025. Global Sensitivity Analyses of the APSIM-Wheat Model at Different Soil Moisture Levels. Plants, 142608. 10.3390/plants14172608
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2025 1
Aller, Deborah; Archontoulis, Sotirios; Laird, David; 2025. Soil Organic Matter and Biochar Effects on Soil Water: Measurements, Pedotransfer Functions and APSIM Simulations. European Journal of Soil Science, 76. 10.1111/ejss.70083
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Marziotte, Lucia; Carcedo, Ana J. P.; Mayor, Laura; Prasad, P. V. Vara; Peraza, Joaquín A.; Ciampitti, Ignacio A.; 2025. An in‐silico approach exploring sorghum source:sink balance across sorghum hybrids: How many leaves are enough?. Crop Science, 65. 10.1002/csc2.21449
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Yuan, Ruixue; Wang, Keyu; Ren, Dandan; Chen, Zhaowang; Guo, Baosheng; Zhang, Haina; Li, Dan; Zhao, Cunpeng; Han, Shumin; Li, Huilong; Zhang, Shuling; Liu, De Li; Yang, Yanmin; 2025. An Analysis of Uncertainties in Evaluating Future Climate Change Impacts on Cotton Production and Water Use in China. Agronomy, 151209. 10.3390/agronomy15051209
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Gunarathna, M. H. J. P.; Kumari, M. K. N.; 2025. Modeling growth, yield, irrigation water use and soil moisture dynamics of OPSIS-irrigated sugarcane. Frontiers in Sustainable Food Systems, 9. 10.3389/fsufs.2025.1446545
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Mukalay, John Banza; Wellens, Joost; Meersmans, Jeroen; Sikuzani, Yannick Useni; Lenge Mukonzo, Emery Kasongo; Colinet, Gilles; 2025. Simulation of the Growth and Yield of Maize (Zea mays L.) on a Loosened Plinthosol Amended with Termite Mound Material in the Lubumbashi Region. Agriculture, 152272. 10.3390/agriculture15212272
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Liu, Rui; Liu, Hongrun; Wang, Tianqun; Wang, Ting; Lu, Zhenzong; Yuan, Xue; Song, Zhenwei; Li, Runzhi; 2025. Sustainability of Maize–Soybean Rotation for Future Climate Change Scenarios in Northeast China. Journal of Agronomy and Crop Science, 211. 10.1111/jac.70033
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2025 1
Takeda, Naoya; Friedl, Johannes; Leo, Stephen; Schwenke, Graeme; Rowlings, David; Wallace, Ashley; Armstrong, Roger; Bell, Michael; Grace, Peter; 2025. Informing APSIM using 15N recovery data to establish fertiliser N budgets in grain systems. Nutrient Cycling in Agroecosystems, 130367–385. 10.1007/s10705-025-10403-x
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Tang, Jianzhao; Bai, Huizi; Yang, Huiyong; Zhang, Xinjun; Guo, Fenghua; Zhou, Haitao; 2025. Optimizing cultivars enhances the climate resilience of oat production across China under future climate change. Frontiers in Agronomy, 7. 10.3389/fagro.2025.1701976
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Zhou, Huiping; Chen, Jiabao; Ding, Xiaowei; Qin, Qihui; Han, Liebao; 2025. Future climate change will strengthen cotton production but have substantial environmental costs—A focus on Xinjiang by APSIM modelling. Journal of Cleaner Production, 491144803. 10.1016/j.jclepro.2025.144803
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Maas, Ellen D. v. L.; Sihi, Debjani; 2025. Management alternatives for climate‐smart agriculture at two long‐term agricultural research sites in the United States: A model ensemble case study. Agronomy Journal, 117. 10.1002/agj2.70146
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Ghaffar, A.; 2025. WATER USE EFFICIENCY IN IRRIGATED AGRICULTURE: A SYSTEMATIC LITERATURE REVIEW. Gomal Journal of Life Sciences, 3120–133. 10.66406/gjls0285
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Durrington, Genevieve; Saddigh, Joseph; Brider, Jason; Hammer, Graeme; Wu, Alex; Zhu, Xin-Guang; 2025. Enhancing sorghum yield and risk management via optimizing crop design. in silico Plants, 7. 10.1093/insilicoplants/diaf006
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Sarkar, Sukamal; Dey, Saikat; Dhar, Anannya; Chaki, Apurbo K.; Goswami, Rupak; Gaydon, Donald S.; Garai, Sourav; Brahmachari, Koushik; Mainuddin, Mohammad; 2025. Mapping the landscape of APSIM-driven agricultural research: a bibliometric analysis and future perspectives. International Journal of Biometeorology, 691599–1615. 10.1007/s00484-025-02914-7
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Wang, Donglin; Sun, Tielin; Li, Yijie; Zhang, Hanglong; Li, Zongyang; Liu, Shaobo; Dong, Qinge; Li, Yanbin; 2025. Quantifying the Spatiotemporal Response of Winter Wheat Yield to Climate Change in Henan Province via APSIM Simulations. Agriculture, 152059. 10.3390/agriculture15192059
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Rubilar, Rafael A.; Smethurst, Philip J.; Valverde, Juan C.; Pincheira, Matías; Emhart, Veronica; Medina, Alex; Bozo, Daniel; Campoe, Otavio; 2025. Use of the APSIM process-based model to predict early genotype-by-environment interactions of temperate Eucalyptus. Forest Ecology and Management, 596123083. 10.1016/j.foreco.2025.123083
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2025 0
Liu, Xia; Yan, Zongzheng; Shen, Yan-Jun; Min, Leilei; Wang, Shiqin; Shen, Yanjun; Guo, Ying; 2025. Quantifying the effects of irrigation schedule on groundwater level variability using a linked APSIM-MODFLOW model framework. Agricultural Water Management, 316109610. 10.1016/j.agwat.2025.109610
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Saddique, Qaisar; Liu, De Li; Ajaz, Ali; Wang, Bin; Gu, Xiaobo; Adnan, Muhammad; Feng, Puyu; Wang, Yunfei; Zou, Yufeng; Cai, Huanjie; 2025. Identifying the optimum irrigation strategies to maximize canola yield and profitability under climate change in Guanzhong Plain, China. Irrigation Science, 431635–1650. 10.1007/s00271-025-01031-y
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2025 1
Lai, Yunru; Ojeda, Jonathan J.; Clarendon, Simon; Robinson, Nathan; Wang, Enli; Pembleton, Keith G.; 2025. Linking measurable and conceptual phosphorus pools (in APSIM) enables quantitative model initialisation. Soil and Tillage Research, 251106532. 10.1016/j.still.2025.106532
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2025 1
Marziotte, Lucia; Carcedo, Ana J. P.; Rodriguez, Daniel; Mayor, Laura; Prasad, P. V. Vara; Ciampitti, Ignacio A.; 2025. Intensifying cropping sequences in the US Central Great Plains: an in silico analysis of a sorghum–wheat sequence. Frontiers in Plant Science, 16. 10.3389/fpls.2025.1525128
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2025 0
Xiang, Keyu; Wang, Bin; Liu, De Li; Chen, Chao; Ji, Fei; Yang, Yanmin; Li, Siyi; Huang, Mingxia; Huete, Alfredo; Yu, Qiang; 2025. Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia. European Journal of Agronomy, 164127460. 10.1016/j.eja.2024.127460
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2025 6
Lalani, Baqir; Parsons, David; Ahmed, Mukhtar; Kumar, Uttam; 2025. Simulations using APSIM suggest that Conservation Agriculture sustains protein yield under changing climate dynamics in Northern Mozambique. BMC Plant Biology, 25. 10.1186/s12870-025-07418-5
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2025 1
Kirschbaum, Miko U.F.; González-Moreno, Marcela A.; Mudge, Paul L.; 2025. Observed and modelled carbon fluxes at a grazed site with CO2 enrichment. Science of The Total Environment, 981179552. 10.1016/j.scitotenv.2025.179552
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2025 0
He, Di; Wang, Jing; Lilley, Julianne; Christy, Brendan; Hoffmann, Munir; O'Leary, Garry; Hatfield, Jerry; Ledda, Luigi; Deligios, Paola; Grant, Brian; Jing, Qi; Nendel, Claas; Kage, Henning; Qian, Budong; Eyshi Rezaei, Ehsan; Smith, Ward; Weymann, Wiebke; Ewert, Frank; Wang, Enli; 2025. Dataset for multi-model comparison and ensemble simulations of canola growth and yield across global sites. Open Data Journal for Agricultural Research, 111–5. 10.18174/odjar.v11i0.18569
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Bakó, Károly; Rácz, Csaba; Dövényi-Nagy, Tamás; Molnár, Krisztina; Dobos, Attila; 2025. Advancements in Leaf Area Index Estimation for Maize Using Modeling and Remote Sensing Techniques: A Review. Agronomy, 15519. 10.3390/agronomy15030519
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Cichota, Rogerio; Yang, Xiumei; 2025. Simulating forage plantain growth and defoliation in APSIM. MethodsX, 15103530. 10.1016/j.mex.2025.103530
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2025 1
Zhao, Xinwei; Chen, Shengbo; Xu, Yucheng; Wang, Zibo; 2025. A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants. Applied Sciences, 15764. 10.3390/app15020764
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Arshad, Adnan; Zhang, Yue; Zhang, Pengzhong; Wang, Xuejiao; Chen, Yongfan; Ahmed, Mukhtar; Zhang, Lizhen; 2025. APSIM-cotton model calibration for phenology-driven sowing and yield optimization in drip irrigated arid climate. Smart Agricultural Technology, 12101325. 10.1016/j.atech.2025.101325
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Sneha, Bharadwaj; Parihar, C M; Rathore, S S; Das, T K; Bana, R S; Sunil, Mandi; Yeasin, Md; Niraj, Biswakarma; Ayan, Sarkar; Kiranmoy, Patra; Srikanth, Reddy K; Badapmain, Makdoh; Choudhury, B U; 2025. APSIM-based insights for enhancing rice productivity and climate change adaptation in the north-eastern hilly regions of India. Plant Science Today, . 10.14719/pst.6998
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2025 1
Yang, Chenyao; Lei, Na; Menz, Christoph; Ceglar, Andrej; Torres-Matallana, Jairo Arturo; Li, Siqi; Jiang, Yanling; Tan, Xianming; Tao, Lei; He, Fang; Li, Shigui; Liu, Bing; Yang, Feng; Fraga, Helder; Santos, João A.; 2024. Regional uncertainty analysis between crop phenology model structures and optimal parameters. Agricultural and Forest Meteorology, 355110137. 10.1016/j.agrformet.2024.110137
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Han, Yang; Zhao, Yulong; Wang, Jinglei; 2024. Unveiling geospatial heterogeneity in climate's impacts on wheat production to advance spatially-matched climate-adaptive agricultural management in the North China plain. Journal of Environmental Management, 369122364. 10.1016/j.jenvman.2024.122364
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2024 6
Zhang, Kang; Nie, Zhi-Gang; Wang, Jun; Li, Guang; 2024. Sensitivity analysis and optimization of spring wheat grain growth parameters under APSIM model with the increase of temperature. Acta Agronomica Sinica, 50464–477. 10.3724/SP.J.1006.2024.31018
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Ma, Chenguang; Lei, Na; Zhang, Fang; Shi, Lei; Zhang, Jing; Dai, Yilun; 2024. Effects of Changes in Temperature and CO2 Concentration on Maize Yields in the Loess Plateau. International Journal of Agriculture and Food Sciences Research, 216–21. 10.62051/ijafsr.v2n1.04
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2024 0
Fang, Su; Wu, Jianrong; Niu, Wenxuan; Zhang, Tiantian; Hong, Tiantian; Zhang, Hongtao; Zhan, Xiaobei; 2024. Sialylation of dietary mucin modulate its digestibility and the gut microbiota of elderly individuals. Food Research International, 184114246. 10.1016/j.foodres.2024.114246
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2024 10
Ren, Wenhao; Li, Xianyue; Liu, Tingxi; Chen, Ning; Xin, Maoxin; Liu, Bin; Liu, Yahui; Qi, Qian; 2024. Evaluating nitrogen dynamic and utilization under controlled-release fertilizer application for sunflowers in an arid region: Experimental and modeling approach. Journal of Environmental Management, 370122456. 10.1016/j.jenvman.2024.122456
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2024 7
Ma, Chenguang; Lei, Na; Zhang, Fang; Shi, Lei; Zhang, Jing; Dai, Yilun; 2024. Analysis of Climate Change Impacts on Spring Maize Yields in the Loess Plateau. Academic Journal of Science and Technology, 1319–22. 10.54097/vcfc6468
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Rahman Talukder, A.H.M Motiur; Ahmed, Faruque; Nahar, Lutfun; 2024. PHENOLOGY, GROWTH, AND YIELD OF CHICKPEA UNDER DIFFERENT SOWING WINDOWS AT CENTRAL REGION OF BANGLADESH. Plant Physiology and Soil Chemistry, 501–06. 10.26480/ppsc.01.2025.15.20
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Gardner, Tyler; Chapman, Amber; 2024. Application of APSIM model for predicting maize yield under different climate change scenarios. International Journal of Research in Agronomy, 7144–147. 10.33545/2618060X.2024.v7.i11b.5189
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Li, Siyi; Wang, Bin; Liu, De Li; Chen, Chao; Feng, Puyu; Huang, Mingxia; Wang, Xiaofang; Shi, Lijie; Waters, Cathy; Huete, Alfredo; Yu, Qiang; 2024. Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?. European Journal of Agronomy, 153127030. 10.1016/j.eja.2023.127030
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Amiri, Seyedreza; Zakeri, Nader; Yousefi, Tayebeh; 2024. Optimizing crop management to boost maize production using modeling approach. Circular Agricultural Systems, 40–0. 10.48130/cas-0024-0017
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Collins, Brian; Lai, Yunru; Grewer, Uwe; Attard, Steve; Sexton, Justin; Pembleton, Keith G.; 2024. Evaluating the impact of weather forecasts on productivity and environmental footprint of irrigated maize production systems. Science of The Total Environment, 954176368. 10.1016/j.scitotenv.2024.176368
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Weir, Peter; Dahlhaus, Peter; 2024. Beyond soil moisture probes: improving field scale soil moisture mapping. Discover Soil, 1. 10.1007/s44378-024-00025-0
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2024 4
Liu, Hongrun; Su, Baocai; Liu, Rui; Wang, Jiajie; Wang, Ting; Lian, Yijia; Lu, Zhenzong; Yuan, Xue; Song, Zhenwei; Li, Runzhi; 2024. Conservation Tillage Mitigates Soil Organic Carbon Losses While Maintaining Maize Yield Stability Under Future Climate Change Scenarios in Northeast China: A Simulation of the Agricultural Production Systems Simulator Model. Agronomy, 151. 10.3390/agronomy15010001
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2024 5
Shahid, Muhammad Rizwan; Wakeel, Abdul; Ullah, Muhammad Sana; Gaydon, Donald S.; 2024. Identifying changes to key APSIM-wheat constants to sensibly simulate high temperature crop response in Pakistan. Field Crops Research, 307109265. 10.1016/j.fcr.2024.109265
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2024 1
Souza, Débora Pantojo de; Bosi, Cristiam; Mendonça, Fernando Campos; Pezzopane, José Ricardo Macedo; 2024. Parameterization of the APSIM-Oats model for simulating the growth of black oat cultivated for forage purposes under cut-and-carry management. Acta Scientiarum. Agronomy, 47e69505. 10.4025/actasciagron.v47i1.69505
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Watt, Lucinda J.; Bell, Lindsay W.; Cullen, Brendan; 2024. Forage brassicas can enhance the feed base and mitigate feed gaps across diverse environments. Crop & Pasture Science, 75. 10.1071/CP23333
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2024 1
Tan, Yunlong; Cheng, Enhui; Feng, Xuxiang; Zhao, Bin; Chen, Junjie; Xie, Qiaoyun; Peng, Hao; Li, Cunjun; Lu, Chuang; Li, Yong; Zhang, Bing; Peng, Dailiang; 2024. Application of APSIM model in winter wheat growth monitoring. Frontiers in Plant Science, 15None. 10.3389/fpls.2024.1500103
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Wang, Donglin; Guo, Mengjing; Li, Jipo; Wu, Siyu; Cheng, Yuhan; Shi, Longfei; Liu, Shaobo; Ge, Jiankun; Dong, Qinge; Li, Yi; Wu, Feng; Jiang, Tengcong; 2024. Impact of Climate Change on the Winter Wheat Productivity Under Varying Climate Scenarios in the Loess Plateau: An APSIM Analysis (1961–2100). Agronomy, 142609. 10.3390/agronomy14112609
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Zhang, Jian; Pan, Bin; Shi, Wenxuan; Zhang, Yu; Gu, Shixiang; Chen, Jinming; Xia, Quanbin; 2024. Construction of a High-Resolution Waterlogging Disaster Monitoring Framework Based on the APSIM Model: A Case Study of Jingzhou and Bengbu. Remote Sensing, 162581. 10.3390/rs16142581
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2024 1
Gabbrielli, Mara; Allegrezza, Marina; Ragaglini, Giorgio; Manco, Antonio; Vitale, Luca; Perego, Alessia; 2024. A Review of the Main Process-Based Approaches for Modeling N2O Emissions from Agricultural Soils. Horticulturae, 1098. 10.3390/horticulturae10010098
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Balcão, Lucas Fillietaz; Andreucci, Mariana; Snow, Val; Holzworth, Dean; Brunetti, Henrique Bauab; dos Santos, Mariely Lopes; Bosi, Cristiam; Pezzopane, Jose Ricardo Macedo; Santos, Patricia Menezes; 2024. Pasture growth simulation and sensitivity analysis using APSIM-related models in a tropical silvopastoral system. European Journal of Agronomy, 160127307. 10.1016/j.eja.2024.127307
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2024 2
Ren, Wenhao; Li, Xianyue; Liu, Tingxi; Chen, Ning; Xin, Maoxin; Liu, Bin; Qi, Qian; Li, Gendong; 2024. Impact of fertilization depth on sunflower yield and nitrogen utilization: a perspective on soil nutrient and root system compatibility. Frontiers in Plant Science, 15. 10.3389/fpls.2024.1440859
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Ibnmrhar, Meryem; Bouabdli, Abdelhak; Baghdad, Bouamar; Moussadek, Rachid; 2024. Calibration and validation of APISM-Wheat Model in Mediterranean areas. Journal of Phytology, 147–155. 10.25081/jp.2024.v16.8810
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2024 1
Moller, Kieron; Nejadhashemi, A. Pouyan; Talha, Muhammad; Chikafa, Mervis; Eeswaran, Rasu; Junior, Nilson Vieira; Carcedo, Ana Julia Paula; Ciampitti, Ignacio; Bizimana, Jean‐Claude; Diallo, Amadiane; Prasad, P. V. Vara; 2024. Unveiling the resilience of smallholder farmers in Senegal amidst extreme climate conditions. Food and Energy Security, 13. 10.1002/fes3.523
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Appiah, Mercy; Bracho-Mujica, Gennady; Svane, Simon; Styczen, Merete; Kersebaum, Kurt-Christian; Rötter, Reimund P; Hammer, Graeme; 2024. Insights from utilizing data of different quality levels for simulating barley performance under Nordic conditions: The Agricultural Production Systems SIMulator model evaluation. in silico Plants, 6. 10.1093/insilicoplants/diae010
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Thompson, Laura J.; Archontoulis, Sotirios V.; Puntel, Laila A.; 2024. Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model. Precision Agriculture, . 10.1007/s11119-024-10178-1
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Dougherty, James C H; Keogh, Thomas; Liedloff, Adam C; Thomas, Dean T; 2024. 190 Implementation of an updated beef energetics and body composition model in the Crop Livestock Enterprise Model (CLEM). Journal of Animal Science, 102347–348. 10.1093/jas/skae234.395
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Wang, Jun; Wang, Yanlong; Qi, Zhengyuan; 2024. Remote Sensing Data Assimilation in Crop Growth Modeling from an Agricultural Perspective: New Insights on Challenges and Prospects. Agronomy, 141920. 10.3390/agronomy14091920
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Hussain, Khalid; Hakki, Erdoğan Eşref; Ilyas, Ayesha; Gezgin, Sait; Kamran, Muhammad Asif; 2024. Role of Nitrogen Fertilization and Sowing Date in Productivity and Climate Change Adaptation Forecast in Rice–Wheat Cropping System. Nitrogen, 5977–991. 10.3390/nitrogen5040062
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2024 1
Mihret, Yabebal Chekole; Ketsela, Girma Moges; Mintesinot, Smegnew Moges; 2024. Implementation and application of APSIM for crop modelling in Ethiopia: A comprehensive review. Heliyon, 10e31612. 10.1016/j.heliyon.2024.e31612
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Saikai, Yuji; 2024. Generative weather for improved crop model simulations. , . 10.48550/ARXIV.2404.00528
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Raymundo, Rubí; Mclean, Greg; Sexton-Bowser, Sarah; Lipka, Alexander E.; Morris, Geoffrey P.; 2024. Crop modeling suggests limited transpiration would increase yield of sorghum across drought-prone regions of the United States. Frontiers in Plant Science, 14. 10.3389/fpls.2023.1283339
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Susanto, Hendrik; Lauwinata, Lavenia; Phoek, Simon Ebel Maris; 2024. Strategi Ekonomi Hijau Untuk Pertanian: Studi Komparatif Variabel, Metodologi, Dan Perangkat Lunak. Journal of Law, Administration, and Social Science, 4947–961. 10.54957/jolas.v4i5.949
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Amiri, Seyedreza; Zakeri, Nader; Yousefi, Tayebeh; 2024. Evaluation of the APSIM common bean model using different cultivars and water-management scenarios. Technology in Agronomy, 40-0. 10.48130/tia-0024-0015
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2024 1
Hosseinpour, Shayan; Bagherikia, Saeed; Soughi, Habiballah; Pirdashti, Hemmatollah; Mousavi, Hesam; 2024. A scrutiny of plasticity management in irrigated wheat systems under CMIP6 earth system models (case study: Golestan Province, Iran). Theoretical and Applied Climatology, 1554663–4680. 10.1007/s00704-024-04902-0
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2024 1
Zhao, Yanxi; Xiao, Dengpan; Bai, Huizi; 2024. The simultaneous prediction of yield and maturity date for wheat–maize by combining satellite images with crop model. Journal of the Science of Food and Agriculture, . 10.1002/jsfa.13705
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Sarkar, Sukamal; Gaydon, Donald S.; Dey, Saikat; Chaki, Apurbo Kumar; Brahmachari, Koushik; Dhar, Anannya; Garai, Sourav; Mainuddin, Mohammed; 2024. Evaluation of the APSIM Model in Rice-Lentil Cropping System in a Complex Coastal Saline Environment. Journal of the Indian Society of Coastal Agricultural Research, 42. 10.54894/JISCAR.42.1.2024.146243
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2024 4
Vogeler, Iris; Kumar, Uttam; Knudsen, Leif; Hansen, Elly M.; Snow, Val; Thomsen, Ingrid K.; 2024. Development of Algorithm for Determining N Fertiliser Requirements of Winter Wheat Based on N Status Using APSIM Modelling. Crops, 4134–144. 10.3390/crops4020010
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2024 1
Takeda, Naoya; Friedl, Johannes; Rowlings, David; Haas, Edwin; Kraus, David; Grace, Peter; Scheer, Clemens; 2024. In-situ N2O and N2 data improved N budget simulation with APSIM and LandscapeDNDC in tropical sugarcane systems. Agriculture, Ecosystems & Environment, 375109193. 10.1016/j.agee.2024.109193
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2024 5
S., Mohamed Naziq; N. K., Sathyamoorthy; Ga, Dheebakaran; S., Pazhanivelan; N., Vadivel; 2024. Coupled weather and crop simulation modeling for smart irrigation planning: a review. Water Supply, . 10.2166/ws.2024.170
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2024 13
Richetti, Jonathan; Lawes, Roger A.; Whan, Alex; Gaydon, Donald S.; Thorburn, Peter J.; 2024. How well does APSIM NextGen simulate wheat yields across Australia using gridded input data? Validating Continental-Scale Crop Model Simulations. European Journal of Agronomy, 158127212. 10.1016/j.eja.2024.127212
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2024 15
Li, Zhiyang; Nie, Zhigang; Li, Guang; 2024. Integrating Crop Modeling and Machine Learning for the Improved Prediction of Dryland Wheat Yield. Agronomy, 14777. 10.3390/agronomy14040777
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2024 11
Sadeh, Yuval; Zhu, Xuan; Dunkerley, David; Walker, Jeffrey P.; Chen, Yang; Chenu, Karine; 2024. Versatile crop yield estimator. Agronomy for Sustainable Development, 44. 10.1007/s13593-024-00974-4
other-oa · publishedVersion
2024 7
Akinseye, Folorunso M.; Zagre, Inoussa; Faye, Aliou; Joseph, Jacob Emanuel; Worou, Omonlola N.; Whitbread, Anthony M.; 2024. Exploring adaptation strategies for smallholder farmers in dryland farming systems and impact on pearl millet production under climate change in West Africa. Frontiers in Agronomy, 6. 10.3389/fagro.2024.1428630
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2024 11
Gavasso‐Rita, Yohanne Larissa; Papalexiou, Simon Michael; Li, Yanping; Elshorbagy, Amin; Li, Zhenhua; Schuster‐Wallace, Corinne; 2024. Crop models and their use in assessing crop production and food security: A review. Food and Energy Security, 13. 10.1002/fes3.503
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2024 74
Mamassi, Achraf; Lang, Marie; Tychon, Bernard; Lahlou, Mouanis; Wellens, Joost; El Gharous, Mohamed; Marrou, Hélène; Bustos-Korts, Daniela; Long, Stephen P; 2024. A comparison of empirical and mechanistic models for wheat yield prediction at field level in Moroccan rainfed areas. in silico Plants, 6. 10.1093/insilicoplants/diad020
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2024 9
Diancoumba, Madina; Kholová, Jana; Adam, Myriam; Famanta, Mahamoudou; Clerget, Benoît; Traore, Pierre C. S.; Weltzien, Eva; Vacksmann, Michel; McLean, Greg; Hammer, Graeme L.; van Oosterom, Erik J.; Vadez, Vincent; 2024. APSIM-based modeling approach to understand sorghum production environments in Mali. Agronomy for Sustainable Development, 44. 10.1007/s13593-023-00909-5
other-oa · publishedVersion
2024 7
Vieira Junior, Nilson; Carcedo, Ana Julia Paula; Min, Doohong; Diatta, Andre Amakobo; Araya, Alemie; Prasad, P. V. Vara; Diallo, Amadiane; Ciampitti, Ignacio; 2024. Management interventions of pearl millet systems for attaining cereal self-sufficiency in Senegal. Frontiers in Sustainable Food Systems, 7. 10.3389/fsufs.2023.1281496
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2024 3
Hao, Shirui; Ryu, Dongryeol; Western, Andrew W; Perry, Eileen; Bogena, Heye; Franssen, Harrie Jan Hendricks; 2024. Global sensitivity analysis of APSIM-wheat yield predictions to model parameters and inputs. Ecological Modelling, 487110551. 10.1016/j.ecolmodel.2023.110551
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2024 19
Msomba, Bahati Hakimu; Ndaki, Patrick Madulu; Joseph, Charles O.; 2024. Sugarcane sustainability in a changing climate: a systematic review on pests, diseases, and adaptive strategies. Frontiers in Agronomy, 6. 10.3389/fagro.2024.1423233
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2024 18
Peng, Yuxing; Zhang, Feixia; Zhang, Shuai; Li, Zizhong; Cao, Shuming; Luo, Chuxin; Yu, Fei; 2024. Using APSIM to optimize corn nitrogen fertilizer application levels in alfalfa-corn rotation system in Northeast China. Field Crops Research, 318109596. 10.1016/j.fcr.2024.109596
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2024 4
Dong, Lixia; Mu, Shujia; Li, Guang; 2024. Optimization of an N2O Emission Flux Model Based on a Variable-Step Drosophila Algorithm. Agronomy, 142279. 10.3390/agronomy14102279
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2024 1
Lagerquist, Elsa; Vogeler, Iris; Kumar, Uttam; Bergkvist, Göran; Lana, Marcos; Watson, Christine A.; Parsons, David; 2024. Assessing the effect of intercropped leguminous service crops on main crops and soil processes using APSIM NG. Agricultural Systems, 216103884. 10.1016/j.agsy.2024.103884
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2024 16
George, Nicholas Alexander; de Jesus Pedro Cuamba, Helio; Lundy, Mark E.; Bennett, Sarita Jane; Cammarano, Davide; 2024. Evaluating the Agricultural Production Systems sIMulator (APSIM) wheat module for California. Crop & Pasture Science, 75. 10.1071/CP23046
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2024 3
Pembleton, Keith G.; Radanielson, Ando M.; 2024. Validating APSIM for the Northern Territory of Australia: An environment with challenging weather and soils. Agronomy Journal, 1161357–1370. 10.1002/agj2.21567
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2024 5
Keating, Brian Anthony; 2024. APSIM’s origins and the forces shaping its first 30 years of evolution: A review and reflections. Agronomy for Sustainable Development, 44. 10.1007/s13593-024-00959-3
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2024 11
Luo, Xin-Lan; Sun, Yue; Liu, Li-Min; Wang, Li-Wei; Gao, Xi-Ning; 2024. Response of Potato Growth and Yield to Drought Scenarios Based on APSIM-Potato in the Single-Cropping Region in Northern China. Potato Research, . 10.1007/s11540-024-09713-4
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2024 5
Beukes, Pierre C.; Depree, Craig; Macintosh, Katrina A.; Silva-Villacorta, David; 2024. Stacking nitrogen mitigation strategies for future pasture-based dairy farms: impacts on leaching and profit. Frontiers in Animal Science, 5. 10.3389/fanim.2024.1277131
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2024 7
Wimalasiri, Eranga M.; Ariyachandra, Sachini; Jayawardhana, Aruna; Dharmasekara, Thejani; Jahanshiri, Ebrahim; Muttil, Nitin; Rathnayake, Upaka; 2023. Process-Based Crop Models in Soil Research: A Bibliometric Analysis. Soil Systems, 743. 10.3390/soilsystems7020043
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2023 6
Wimalasiri, Eranga M.; Sirishantha, Deshani; Karunadhipathi, U. L.; Ampitiyawatta, Asanga D.; Muttil, Nitin; Rathnayake, Upaka; 2023. Climate Change and Soil Dynamics: A Crop Modelling Approach. Soil Systems, 782. 10.3390/soilsystems7040082
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2023 1
Joseph, J.E.; Akinseye, F.M.; Worou, O.N.; Faye, A.; Konte, O.; Whitbread; Rötter, R.P.; 2023. Assessment of the relations between crop yield variability and the onset and intensity of the West African Monsoon. Agricultural and Forest Meteorology, 333. 10.1016/j.agrformet.2023.109431
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2023 8
Phuoc, Le Huu; Suliansyah, Irfan; Arlius, Feri; Chaniago, Irawati; Xuan, Nguyen Thi Thanh; Quang, Pham Van; 2023. Literature Review Crop Modeling and Introduction a Simple Crop Model. Journal of Applied Agricultural Science and Technology, 7197–216. 10.55043/jaast.v7i3.123
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2023 5
Sun, Shuang; Zhang, Meien; Wang, Chunyi; Song, Yanling; Wang, Fang; Zhang, Yue; 2023. An integrated evaluation of climatic suitability for summer peanut at county level by coupling drought-waterlogging risk with potential productivity: a case study in Henan province, China. Theoretical and Applied Climatology, 1511773–1786. 10.1007/s00704-022-04340-w
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2023 4
Monteleone, Beatrice; Giusti, Riccardo; Magnini, Andrea; Arosio, Marcello; Domeneghetti, Alessio; Borzì, Iolanda; Petruccelli, Natasha; Castellarin, Attilio; Bonaccorso, Brunella; Martina, Mario L. V.; 2023. Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River. Water, 151980. 10.3390/w15111980
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2023 14
Rahman, Muhammed Habib ur; Ahrends, Hella Ellen; Raza, Ahsan; Gaiser, Thomas; 2023. Current approaches for modeling ecosystem services and biodiversity in agroforestry systems: Challenges and ways forward. Frontiers in Forests and Global Change, 5. 10.3389/ffgc.2022.1032442
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2023 31
Raj, Rahul; Walker, Jeffrey P.; Jagarlapudi, Adinarayana; 2023. Maize On-Farm Stressed Area Identification Using Airborne RGB Images Derived Leaf Area Index and Canopy Height. Agriculture, 131292. 10.3390/agriculture13071292
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2023 4
Chapagain, Ranju; Remenyi, Tomas A.; Huth, Neil; Mohammed, Caroline L.; Ojeda, Jonathan J.; 2023. Investigating the effects of APSIM model configuration on model outputs across different environments. Frontiers in Agronomy, 5. 10.3389/fagro.2023.1213074
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2023 4
Ahmed, Faruque; Talukder, A. H. M. Motiur Rahman; Mosaddek Ahmed, Imrul; Hossain, Md. Shakhawat; Chaki, Apurbo Kumar; Zahan, Taslima; Istiaque, Sheikh; Akhter, Sohela; Biswas, Jatish C.; Rahman, M. Mizanur; Castillo, Karl D.; 2023. Optimizing sowing window for mungbean and its adaptation option for the South-central zone of Bangladesh in future climate change scenario using APSIM model. PLOS Climate, 2e0000180. 10.1371/journal.pclm.0000180
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2023 1
Vogeler, Iris; Kluß, Christof; Peters, Tammo; Taube, Friedhelm; 2023. How Much Complexity Is Required for Modelling Grassland Production at Regional Scales?. Land, 12327. 10.3390/land12020327
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2023 2
Tang, Ling; Wu, Aoqi; Li, Shenshen; Tuerdimaimaiti, Mairemu; Zhang, Guoyou; 2023. Impacts of Climate Change on Rice Grain: A Literature Review on What Is Happening, and How Should We Proceed?. Foods, 12536. 10.3390/foods12030536
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2023 16
Akinseye, Folorunso M.; Ajeigbe, Hakeem A.; Kamara, Alpha Y.; Omotayo, Akinrotimi O.; Tofa, Abdullahi I.; Whitbread, Anthony M.; 2023. Establishing Optimal Planting Windows for Contrasting Sorghum Cultivars across Diverse Agro-Ecologies of North-Eastern Nigeria: A Modelling Approach. Agronomy, 13727. 10.3390/agronomy13030727
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2023 6
Rai, Teerath; Lee, Nicole; Williams, Martin; Davis, Adam; Villamil, María; Dokoohaki, Hamze; 2023. Probabilistic Assessment of Cereal Rye Cover Crop Impacts on Regional Crop Yield and Soil Carbon. Agriculture, 13176. 10.3390/agriculture13010176
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2023 5
Chauhan, Yashvir S.; Anwar, Muhuddin Rajin; Richards, Mark F.; Lake, Lachlan; Sadras, Victor O.; Luckett, David J.; Raman, Rosy; Krosch, Stephen; Graham, Neroli; 2023. Effect of soil water on flowering and pod-set in chickpea: implications for modelling and managing frost and heat stress. Agronomy for Sustainable Development, 43. 10.1007/s13593-023-00903-x
other-oa · publishedVersion
2023 9
MacCarthy, Dilys S.; Adamtey, Noah; Freduah, Bright S.; Fosu-Mensah, Benedicta Y.; Ofosu-Budu, Godfred K.; Fliessbach, Andreas; 2023. Modeling the effect of soil fertility management options on maize yield stability under variable climate in a sub-humid zone in Ghana. Frontiers in Sustainable Food Systems, 7. 10.3389/fsufs.2023.1132732
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2023 8
Wang, Jintao; Dong, Xinliang; Qiu, Rangjian; Lou, Boyuan; Tian, Liu; Chen, Pei; Zhang, Xuejia; Liu, Xiaojing; Sun, Hongyong; 2023. Optimization of sowing date and irrigation schedule of maize in different cropping systems by APSIM for realizing grain mechanical harvesting in the North China Plain. Agricultural Water Management, 276108068. 10.1016/j.agwat.2022.108068
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2023 22
Elli, Elvis F.; Archontoulis, Sotirios V.; 2023. Dissecting the contribution of weather and management on water table dynamics under present and future climate scenarios in the US Corn Belt. Agronomy for Sustainable Development, 43. 10.1007/s13593-023-00889-6
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2023 14
Pasley, Heather; Wenham, Kylie; Bell, Lindsay; Huth, Neil; Holzworth, Dean; Chaki, Apurbo; Gaydon, Don; Collins, Marisa; 2023. APSIM next generation mungbean model: A tool for advancing mungbean production. Field Crops Research, 298108955. 10.1016/j.fcr.2023.108955
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2023 10
Yang, Xuan; Jia, Pengfei; Hou, Qingqing; Zhu, Min; 2023. Quantitative sensitivity of crop productivity and water productivity to precipitation during growth periods in the Agro-Pastoral Ecotone of Shanxi Province, China, based on APSIM. Agricultural Water Management, 283108309. 10.1016/j.agwat.2023.108309
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2023 6
Yang, Xiumei; Brown, Hamish E.; Teixeira, Edmar I.; Moot, Derrick J.; 2023. Development of a lucerne model in APSIM next generation: 3 Biomass accumulation and partitioning for different fall dormancy ratings. European Journal of Agronomy, 142126665. 10.1016/j.eja.2022.126665
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2023 5
Maina, Mohammed Mamodu; Shanono, N. J.; Bello, M. M.; Nasidi, N. M.; Abdullahi, M.; 2023. SIMULATION OF CLIMATE CHANGE EFFECT ON RICE (Oryza sativa L.) PRODUCTION IN KANO RIVER IRRIGATION SCHEME (KRIS) USING APSIM MODEL. FUDMA JOURNAL OF SCIENCES, 721–27. 10.33003/fjs-2023-0703-1845
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2023 3
Cui, Weinan; Nie, Zhigang; Li, Guang; Yuan, Jianyu; 2023. Optimization of Parameters Related to Grain Growth of Spring Wheat in Dryland Based on the Next-Generation APSIM. Agronomy, 131915. 10.3390/agronomy13071915
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2023 8
Mugo, Jane Wangui; Opijah, Franklin J.; Ngaina, Joshua; Karanja, Faith; Mburu, Mary; 2023. Simulated effects of climate change on green gram production in Kitui County, Kenya. Frontiers in Sustainable Food Systems, 7. 10.3389/fsufs.2023.1144663
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2023 2
Kheir, Ahmed M. S.; Mkuhlani, Siyabusa; Mugo, Jane W.; Elnashar, Abdelrazek; Nangia, Vinay; Devare, Medha; Govind, Ajit; 2023. Integrating APSIM model with machine learning to predict wheat yield spatial distribution. Agronomy Journal, 1153188–3196. 10.1002/agj2.21470
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2023 21
Deihimfard, Reza; Rahimi-Moghaddam, Sajjad; Javanshir, Farshid; Pazoki, Alireza; 2023. Quantifying major sources of uncertainty in projecting the impact of climate change on wheat grain yield in dryland environments. Journal of Arid Land, 15545–561. 10.1007/s40333-023-0056-x
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2023 3
Li, Yue; Wu, Bing; Gao, Yuhong; Wu, Ling; Zhao, Xia; Wu, Lili; Zhou, Hui; Tang, Jie; 2023. Combination of Organic and Inorganic Fertilizers to Counteract Climate Change Effects on Cultivation of Oilseed Flax (Linum usitatissimum L.) Using the APSIM Model in Arid and Semiarid Environments. Agronomy, 132995. 10.3390/agronomy13122995
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2023 6
Govindaraj, T.; Maragatham, N.; Ramanathan, Sp.; Geethalakshmi, V.; Kalarani, M.K.; 2023. Calibration and validation of APSIM maize simulation model for different date of sowing. Journal of Agrometeorology, 25. 10.54386/jam.v25i3.2212
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2023 0
Vogeler, Iris; Cichota, Rogerio; Langer, Stephanie; Thomas, Steve; Ekanayake, Dinanjana; Werner, Armin; 2023. Simulating water and nitrogen runoff with APSIM. Soil and Tillage Research, 227105593. 10.1016/j.still.2022.105593
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2023 16
Tirfessa, Alemu; Getachew, Fikadu; McLean, Greg; van Oosterom, Erik; Jordan, David; Hammer, Graeme; 2023. Modeling adaptation of sorghum in Ethiopia with APSIM—opportunities with G×E×M. Agronomy for Sustainable Development, 43. 10.1007/s13593-023-00869-w
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2023 11
Baum, Mitchell E.; Sawyer, John E.; Nafziger, Emerson D.; Huber, Isaiah; Thorburn, Peter J.; Castellano, Michael J.; Archontoulis, Sotirios V.; 2023. Evaluating and improving APSIM's capacity in simulating long-term corn yield response to nitrogen in continuous- and rotated-corn systems. Agricultural Systems, 207103629. 10.1016/j.agsy.2023.103629
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2023 28
Githui, Faith; Jha, Vanya; Thayalakumaran, Thabo; Christy, Brendan P.; O’Leary, Garry J.; 2023. Resource sharing in intercropping models and a case study with APSIM in southern Australia. European Journal of Agronomy, 142126680. 10.1016/j.eja.2022.126680
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2023 16
Kivi, Marissa; Vergopolan, Noemi; Dokoohaki, Hamze; 2023. A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest. Hydrology and Earth System Sciences, 271173–1199. 10.5194/hess-27-1173-2023
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2023 16
Kumar, Uttam; Hansen, Elly Møller; Thomsen, Ingrid Kaag; Vogeler, Iris; 2023. Performance of APSIM to Simulate the Dynamics of Winter Wheat Growth, Phenology, and Nitrogen Uptake from Early Growth Stages to Maturity in Northern Europe. Plants, 12986. 10.3390/plants12050986
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2023 17
Gunarathna, M. H. J. P.; Sakai, Kazuhito; Kumari, M. K. N.; 2023. Emulator-based optimization of APSIM-Sugar using the results of sensitivity analysis performed with the software GEM-SA. Frontiers in Sustainable Food Systems, 7. 10.3389/fsufs.2023.1157854
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2023 6
Matse, Dumsane Themba; Avendano, Fernando; Bishop, Peter; Jeyakumar, Paramsothy; Bates, Geoff; 2023. Simulating Gibberellic Acid Effect on Pasture Yield on Naturally Deposited and Fixed Area Urine. Environments, 10112. 10.3390/environments10070112
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2023 0
Wang, Keyi; Shi, Liping; Zheng, Bangyou; He, Yong; 2023. Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions. Frontiers in Plant Science, 14. 10.3389/fpls.2023.1138966
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2023 6
Ojeda, Jonathan Jesus; Islam, M. Rafiq; Correa-Luna, Martin; Gargiulo, Juan Ignacio; Clark, Cameron Edward Fisher; Rotili, Diego Hernán; Garcia, Sergio Carlos; 2023. Field and in-silico analysis of harvest index variability in maize silage. Frontiers in Plant Science, 14. 10.3389/fpls.2023.1206535
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2023 3
Baishya, Aniket; Mishra, Ashok; Sengupta, Sudip; 2023. Modelling and Assessment of Climate Change Impact on Rainfed Rice Cultivation in a Sub-humid Subtropical Region. Agricultural Research, . 10.1007/s40003-023-00671-w
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2023 5
Nguyen, Q. C.; Ngo, H. Y. T.; Vu, M. H.T.; 2023. Advantages of altering cropping schedules in the face of climate variability: A case study of Tan Ky sugarcane cultivation area, Nghe An province. Research on Crops, 0. 10.31830/2348-7542.2023.ROC-889
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2023 1
Sarkar, Sukamal; Ray, Krishnendu; Garai, Sourav; Banerjee, Hirak; Haldar, Krisanu; Nayak, Jagamohan; 2023. Modelling nitrogen management in hybrid rice for coastal ecosystem of West Bengal, India. PeerJ, 11e14903. 10.7717/peerj.14903
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2023 7
Feleke, Hirut Getachew; Savage, Michael J.; Fantaye, Kindie Tesfaye; Rettie, Fasil Mequanint; 2023. The Role of Crop Management Practices and Adaptation Options to Minimize the Impact of Climate Change on Maize (Zea mays L.) Production for Ethiopia. Atmosphere, 14497. 10.3390/atmos14030497
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2023 12
Winn, Cassandra Anne; Archontoulis, Sotirios; Edwards, Jode; 2023. Calibration of a crop growth model in APSIM for 15 publicly available corn hybrids in North America. Crop Science, 63511–534. 10.1002/csc2.20857
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2023 21
Mackay, Alec; Dodd, Mike; Hutchinson, Kathryn; Vibart, Ronaldo; Devantier, Brian; Bilotto, Franco; 2023. Long-term measurement and modelling of net herbage accumulation in grazed pastures do not align with predictions under climate change. Journal of New Zealand Grasslands, 5–10. 10.33584/jnzg.2022.84.3592
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2023 1
Luo, Ning; Mueller, Nathan; Zhang, Yi; Feng, Puyu; Huang, Shoubing; Liu, De Li; Yu, Yonghong; Wang, Xingya; Wang, Pu; Meng, Qingfeng; 2023. Short-term extreme heat at flowering amplifies the impacts of climate change on maize production. Environmental Research Letters, 18084021. 10.1088/1748-9326/ace7e3
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2023 25
Mackay, Alec; Hutchinson, Kathryn; Moore, John; Dodd, Mike; Lin, Yue; Muir, Paul; Smith, Chris; Vibart, Ronaldo; Bilotto, Franco; 2023. Are observed rates of productivity compared to model predictions indicating negative climate impacts in perennial plants?. Journal of New Zealand Grasslands, 53–62. 10.33584/jnzg.2023.85.3669
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2023 7
Lagerquist, Elsa; 2023. Leguminous service crops in cereal production at high latitudes : provision of ecosystem services and disservices from a novel intercropping system. , 2023. [1]
unknown
2023 0
Rhebergen, Tiemen; Yeates, Stephen J.; 2023. Climate and soil-based constraints to rainfed cotton yield in the Northern Territory, Australia – A modelling approach using APSIM-OZCOT. European Journal of Agronomy, 151126998. 10.1016/j.eja.2023.126998
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2023 6
Chen, Shichao; Liu, Wenfeng; Yan, Zongzheng; Morel, Julien; Parsons, David; Du, Taisheng; 2023. Adaptation Strategy Can Ensure Seed and Food Production With Improving Water and Nitrogen Use Efficiency Under Climate Change. Earth's Future, 11. 10.1029/2022EF002879
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2023 18
Saikai, Yuji; Peake, Allan; Chenu, Karine; Shafiee-Jood, Majid; 2023. Deep reinforcement learning for irrigation scheduling using high-dimensional sensor feedback. PLOS Water, 2e0000169. 10.1371/journal.pwat.0000169
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2023 32
Carcedo, Ana J.P.; Vieira Junior, Nilson; Marziotte, Lucia; Correndo, Adrián A.; Araya, Alemo; Prasad, P.V. Vara; Min, Doohong; Stewart, Zachary P.; Faye, Aliou; Ciampitti, Ignacio A.; 2023. The urgency for investment on local data for advancing food assessments in Africa: A review case study for APSIM crop modeling. Environmental Modelling & Software, 161105633. 10.1016/j.envsoft.2023.105633
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2023 14
Chapagain, Ranju; Huth, Neil; Remenyi, Tomas A.; Mohammed, Caroline L.; Ojeda, Jonathan J.; 2023. Assessing the effect of using different APSIM model configurations on model outputs. Ecological Modelling, 483110451. 10.1016/j.ecolmodel.2023.110451
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2023 10
Wimalasiri, Eranga M.; Ashfold, Matthew J.; Jahanshiri, Ebrahim; Walker, Sue; Azam-Ali, Sayed N.; Karunaratne, Asha S.; Hamed, Mohammed Magdy; 2023. Agro-climatic sensitivity analysis for sustainable crop diversification; the case of Proso millet (Panicum miliaceum L.). PLOS ONE, 18e0283298. 10.1371/journal.pone.0283298
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2023 15
Dong, Meiqi; Zhao, Jin; Li, E; Liu, Zhijuan; Guo, Shibo; Zhang, Zhentao; Cui, Wenqian; Yang, Xiaoguang; 2023. Effects of Changing Climate Extremes on Maize Grain Yield in Northeast China. Agronomy, 131050. 10.3390/agronomy13041050
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2023 14
Wimalasiri, E. M.; Ashfold, M. J.; Walker, S.; Nissanka, S. P.; Karunaratne, A. S.; 2023. Calibration and Validation of APSIM Millet Model for Proso millet (Panicum miliaceum L.) Accessions as a Basis for Crop Diversification. Journal of Agricultural Sciences – Sri Lanka, 1855–75. 10.4038/jas.v18i1.10098
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2023 1
Wang, Tien-Cheng; Casadebaig, Pierre; Chen, Tsu-Wei; 2023. More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop. Theoretical and Applied Genetics, 136. 10.1007/s00122-023-04264-7
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2023 10
Xu, Beiyao; Wang, Tijian; Gao, Libo; Ma, Danyang; Song, Rong; Zhao, Jin; Yang, Xiaoguang; Li, Shu; Zhuang, Bingliang; Li, Mengmeng; Xie, Min; 2023. Impacts of meteorological factors and ozone variation on crop yields in China concerning carbon neutrality objectives in 2060. Environmental Pollution, 317120715. 10.1016/j.envpol.2022.120715
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2023 24
Moghaddam, Hossein; Oveisi, Mostafa; Mehr, Mostafa Keshavarz; Bazrafshan, Javad; Naeimi, Mohammad Hossein; Kaleibar, Behnaz Pourmorad; Müller-Schärer, Heinz; 2023. Earlier sowing combined with nitrogen fertilization to adapt to climate change effects on yield of winter wheat in arid environments: Results from a field and modeling study. European Journal of Agronomy, 146126825. 10.1016/j.eja.2023.126825
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2023 14
Wu, Alex; Brider, Jason; Busch, Florian A.; Chen, Min; Chenu, Karine; Clarke, Victoria C.; Collins, Brian; Ermakova, Maria; Evans, John R.; Farquhar, Graham D.; Forster, Britta; Furbank, Robert T.; Groszmann, Michael; Hernandez‐Prieto, Miguel A.; Long, Benedict M.; Mclean, Greg; Potgieter, Andries; Price, G. Dean; Sharwood, Robert E.; Stower, Michael; van Oosterom, Erik; von Caemmerer, Susanne; Whitney, Spencer M.; Hammer, Graeme L.; 2023. A cross‐scale analysis to understand and quantify the effects of photosynthetic enhancement on crop growth and yield across environments. Plant, Cell & Environment, 4623–44. 10.1111/pce.14453
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2023 4
Chen, Chao; Ota, Noboru; Wang, Bin; Fu, Guobin; Fletcher, Andrew; 2023. Adaptation to climate change through strategic integration of long fallow into cropping system in a dryland Mediterranean-type environment. Science of The Total Environment, 880163230. 10.1016/j.scitotenv.2023.163230
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2023 8
Becker, Rike; Schüth, Christoph; Merz, Ralf; Khaliq, Tasneem; Usman, Muhammad; Beek, Tim aus der; Kumar, Rohini; Schulz, Stephan; 2023. Increased heat stress reduces future yields of three major crops in Pakistan’s Punjab region despite intensification of irrigation.. Agricultural Water Management, 281108243. 10.1016/j.agwat.2023.108243
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2023 38
van Voorn, George A. K.; Boer, Martin P.; Truong, Sandra Huynh; Friedenberg, Nicholas A.; Gugushvili, Shota; McCormick, Ryan; Bustos Korts, Daniela; Messina, Carlos D.; van Eeuwijk, Fred A.; 2023. A conceptual framework for the dynamic modeling of time-resolved phenotypes for sets of genotype-environment-management combinations: a model library. Frontiers in Plant Science, 14. 10.3389/fpls.2023.1172359
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2023 15
Das, Bianca Tara; Schmidt, Susanne; Harrison, Matthew Tom; Hunt, Ian; Biggs, Jody Scott; Huth, Neil Ian; 2023. Key drivers of phosphorus use efficiency (PUE) in a dryland cropping system. Agronomy for Sustainable Development, 43. 10.1007/s13593-023-00929-1
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2023 2
Yan, Zongzheng; Jing, Haichun; Zhu, Anning; Zhang, Xiying; 2023. The Effects of Weather Data Sources on Simulated Winter Wheat Yield at Regional Scales. International Journal of Plant Production, 17133–146. 10.1007/s42106-023-00230-x
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2023 2
Zhang, Lingling; Feng, Hao; Cao, Hongxin; 2022. Winter Wheat Yield Gaps Across the Loess Plateau of China. International Journal of Plant Production, 161–15. 10.1007/s42106-021-00170-4
closed
2022 4
Zhou, Jie; Li, Wenfeng; Xiao, Weihua; Chen, Yang; Chang, Xinxia; 2022. Calibration and validation of APSIM for maize grown in different seasons in Southwest tropic of China. Chilean journal of agricultural research, 82586–594. 10.4067/S0718-58392022000400586
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2022 5
Li, Zhou; Menefee, Dorothy; Yang, Xuan; Cui, Song; Rajan, Nithya; 2022. Simulating productivity of dryland cotton using APSIM, climate scenario analysis, and remote sensing. Agricultural and Forest Meteorology, 325109148. 10.1016/j.agrformet.2022.109148
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2022 10
Xiao, Liujun; Wang, Guocheng; Zhou, Hangxin; Jin, Xiao; Luo, Zhongkui; 2022. Coupling agricultural system models with machine learning to facilitate regional predictions of management practices and crop production. Environmental Research Letters, 17114027. 10.1088/1748-9326/ac9c71
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2022 27
Hathie, Ibrahima; MacCarthy, Dilys; Freduah, Bright; Ly, Mouhamed; Ly, Ahmadou; Porter, Cheryl; Valdivia, Roberto; Ruane, Alexander; Antle, John; Mutter, Carolyn; Hoogenboom, Gerrit; 2022. AgMIP Regional Integrated Assessment of Agricultural Systems in Nioro, Senegal: Representative Agricultural Pathways, Climate, Crop and Economic Data Sets. Open Data Journal for Agricultural Research, 7. 10.18174/odjar.v7i0.17977
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2022 1
Zhao, Yanxi; Xiao, Dengpan; Bai, Huizi; Tang, Jianzhao; Liu, De Li; Qi, Yongqing; Shen, Yanjun; 2022. The Prediction of Wheat Yield in the North China Plain by Coupling Crop Model with Machine Learning Algorithms. Agriculture, 1399. 10.3390/agriculture13010099
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2022 28
Della Nave, Facundo Nicolás; Ojeda, Jonathan Jesús; Irisarri, J. Gonzalo N.; Pembleton, Keith; Oyarzabal, Mariano; Oesterheld, Martín; 2022. Apsim Sorghum Calibration Using Remote Sensing and Field Data Under Sub-Optimal Growth Conditions. SSRN Electronic Journal, . 10.2139/ssrn.4095159
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2022 0
Elli, Elvis F.; Ciampitti, Ignacio A.; Castellano, Michael J.; Purcell, Larry C.; Naeve, Seth; Grassini, Patricio; La Menza, Nicolas C.; Moro Rosso, Luiz; de Borja Reis, André F.; Kovács, Péter; Archontoulis, Sotirios V.; 2022. Climate Change and Management Impacts on Soybean N Fixation, Soil N Mineralization, N2O Emissions, and Seed Yield. Frontiers in Plant Science, 13849896. 10.3389/fpls.2022.849896
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2022 26
Zhao, Yanxi; Xiao, Dengpan; Bai, Huizi; Liu, De Li; Tang, Jianzhao; Qi, Yongqing; Shen, Yanjun; 2022. Climate Change Impact on Yield and Water Use of Rice–Wheat Rotation System in the Huang-Huai-Hai Plain, China. Biology, 111265. 10.3390/biology11091265
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2022 13
Wimalasiri, Eranga M; Ampitiyawatta, A D; Dissanayake, P K; Karunaratne, A S; 2022. Impact of climate change adaptation on paddy yield in dry zone Sri Lanka: A case study using agricultural production systems simulator (APSIM) model. IOP Conference Series: Earth and Environmental Science, 1016012036. 10.1088/1755-1315/1016/1/012036
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2022 3
Smith, Andrew P.; Zurcher, Eric; Llewellyn, Rick S.; Norman, Hayley C.; 2022. Designing Integrated Systems for the Low Rainfall Zone Based on Grazed Forage Shrubs with a Managed Interrow. Agronomy, 122348. 10.3390/agronomy12102348
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2022 1
Alderkamp, Lianne M.; Vogeler, Iris; Poyda, Arne; Manevski, Kiril; van Middelaar, Corina E.; Taube, Friedhelm; 2022. Yields and Nitrogen Dynamics in Ley-Arable Systems—Comparing Different Approaches in the APSIM Model. Agronomy, 12738. 10.3390/agronomy12030738
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2022 8
Bana, Ram Swaroop; Bamboriya, Shanti Devi; Padaria, Rabindra Nath; Dhakar, Raj Kumar; Khaswan, Shanker Lal; Choudhary, Ram Lal; Bamboriya, Jitendra Singh; 2022. Planting Period Effects on Wheat Productivity and Water Footprints: Insights through Adaptive Trials and APSIM Simulations. Agronomy, 12226. 10.3390/agronomy12010226
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2022 18
Sarkar, Sukamal; Gaydon, Donald S.; Brahmachari, Koushik; Poulton, Perry L.; Chaki, Apurbo Kumar; Ray, Krishnendu; Ghosh, Argha; Nanda, Manoj Kr; Mainuddin, Mohammed; 2022. Testing APSIM in a complex saline coastal cropping environment. Environmental Modelling & Software, 147105239. 10.1016/j.envsoft.2021.105239
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2022 21
Chaki, Apurbo K.; Gaydon, Donald S.; Dalal, Ram C.; Bellotti, William D.; Gathala, Mahesh K.; Hossain, Akbar; Menzies, Neal W.; 2022. How we used APSIM to simulate conservation agriculture practices in the rice-wheat system of the Eastern Gangetic Plains. Field Crops Research, 275108344. 10.1016/j.fcr.2021.108344
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2022 37
Tefera, Abeya Temesgen; O’Leary, Garry J.; Thayalakumaran, Thabo; Rao, Shiwangni; Silva-Perez, Viridiana; Shunmugam, Arun S. K.; Armstrong, Roger; Rosewarne, Garry M.; 2022. Identification of agro-physiological traits of lentil that reduce risks of drought. Frontiers in Plant Science, 13. 10.3389/fpls.2022.1019491
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2022 9
Maseko, S.; van der Laan, M.; Marais, D.; Swanepoel, C.; 2022. Modelling long-term yield and soil organic matter dynamics in a maize cropping system. Nutrient Cycling in Agroecosystems, 124299–313. 10.1007/s10705-022-10229-x
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2022 7
شریفی حداد, ندا; دیهیم فرد, رضا; رحیمی مقدم, سجاد; نوری, امید; 2022. شبیه‌سازی عملکرد دانه و کارایی مصرف آب ارقام غالب ذرت تحت شرایط محدودیت آب و تغییر اقلیم. بوم شناسی کشاورزی, 13. 10.22067/jag.v13i1.80923
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2022 0
Zhang, Yue; Sun, Zhanxiang; Wang, Enli; Du, Guijuan; Feng, Chen; Zhang, Weiping; Xu, Huasen; Li, Shumin; Li, Qiuzhu; Zhang, Lizhen; Li, Long; 2022. Maize/soybean strip intercropping enhances crop yield in rain-fed agriculture under the warming climate: a modeling approach. Agronomy for Sustainable Development, 42. 10.1007/s13593-022-00839-8
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Smethurst, Philip J.; McVicar, Tim R.; Huth, Neil I.; Bradshaw, Ben P.; Stewart, Stephen B.; Baker, Thomas G.; Benyon, Richard G.; McGrath, John F.; Van Niel, Thomas G.; 2022. Nitrate Uptake from an Aquifer by Two Plantation Forests: Plausibility Strengthened by Process-Based Modelling. Forests, 13184. 10.3390/f13020184
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2022 6
Chaki, Apurbo K.; Gaydon, Donald S.; Dalal, Ram C.; Bellotti, William D.; Gathala, Mahesh K.; Hossain, Akbar; Menzies, Neal W.; 2022. Achieving the win–win: targeted agronomy can increase both productivity and sustainability of the rice–wheat system. Agronomy for Sustainable Development, 42. 10.1007/s13593-022-00847-8
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2022 7
Rahimi Jahangirlou, Maryam; Soufizadeh, Saeid; Akbari, Gholam Abbas; Alahdadi, Iraj; Parsons, David; Morel, Julien; 2022. Combined Use of Apsim and Logistic Regression Models to Predict the Quality Characteristics of Maize Grain. SSRN Electronic Journal, . 10.2139/ssrn.4060871
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2022 18
Akhavizadegan, Faezeh; Ansarifar, Javad; Wang, Lizhi; Archontoulis, Sotirios V.; 2022. Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty. , . 10.48550/ARXIV.2208.04840
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2022 3
Kaini, Santosh; Harrison, Matthew Tom; Gardner, Ted; Nepal, Santosh; Sharma, Ashok K.; 2022. The Impacts of Climate Change on the Irrigation Water Demand, Grain Yield, and Biomass Yield of Wheat Crop in Nepal. Water, 142728. 10.3390/w14172728
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2022 23
Vogeler, Iris; Sharp, Joanna; Cichota, Rogerio; Lilburne, Linda; 2022. Sensitivity analysis of soil parameters in the Agricultural Production Systems sIMulator (APSIM). Soil Research, . 10.1071/SR22110
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2022 5
Langer, Stephanie; 2022. Improving irrigation management on hillslope pastures. Journal of New Zealand Grasslands, 135–144. 10.33584/jnzg.2021.83.3495
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2022 0
Mkomwa, Saidi; Kassam, Amir; Micheni, Alfred; Gicheru, Patrick; Kitonyo, Onesmus; 2022. Conservation agriculture for climate smart agriculture in smallholder farming systems in Kenya.. , 431–442. [2]
unknown
2022 1
Chisanga, Charles Bwalya; 2022. Modelling climate change impacts on maize.. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 17. 10.1079/cabireviews202217008
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2022 12
Yang, Xiumei; Brown, Hamish E.; Teixeira, Edmar I.; Moot, Derrick J.; 2022. Development of a lucerne model in APSIM next generation: 2 canopy expansion and light interception of genotypes with different fall dormancy ratings. European Journal of Agronomy, 139126570. 10.1016/j.eja.2022.126570
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2022 11
Xiao, Dengpan; Bai, Huizi; Liu, De Li; Tang, Jianzhao; Wang, Bin; Shen, Yanjun; Cao, Jiansheng; Feng, Puyu; 2022. Projecting future changes in extreme climate for maize production in the North China Plain and the role of adjusting the sowing date. Mitigation and Adaptation Strategies for Global Change, 2721. 10.1007/s11027-022-09995-4
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2022 24
Vogeler, Iris; Lilburne, Linda; Webb, Trevor; Cichota, Rogerio; Sharp, Joanna; Carrick, Sam; Brown, Hamish; Snow, Val; 2022. S-map parameters for APSIM. MethodsX, 9101632. 10.1016/j.mex.2022.101632
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2022 11
Bosi, Cristiam; Huth, Neil Ian; Sentelhas, Paulo Cesar; Pezzopane, José Ricardo Macedo; 2022. APSIM model performance in simulating Piatã palisade grass growth and soil water in different positions of a silvopastoral system with eucalyptus. Agricultural Systems, 195103302. 10.1016/j.agsy.2021.103302
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2022 9
Kivi, Marissa S.; Blakely, Bethany; Masters, Michael; Bernacchi, Carl J.; Miguez, Fernando E.; Dokoohaki, Hamze; 2022. Development of a data-assimilation system to forecast agricultural systems: A case study of constraining soil water and soil nitrogen dynamics in the APSIM model. Science of The Total Environment, 820153192. 10.1016/j.scitotenv.2022.153192
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2022 32
Mamassi, Achraf; Marrou, Hélène; El Gharous, Mohamed; Wellens, Joost; Jabbour, Fatima-Ezzahra; Zeroual, Youssef; Hamma, Abdellah; Tychon, Bernard; 2022. Relevance of soil fertility spatial databases for parameterizing APSIM-wheat crop model in Moroccan rainfed areas. Agronomy for Sustainable Development, 4283. 10.1007/s13593-022-00813-4
other-oa · publishedVersion
2022 14
Vogeler, Iris; Sharp, Joanna; Cichota, Rogerio; Lilburne, Linda; 2022. Sensitivity analysis of soil parameters in the Agricultural Production Systems sIMulator (APSIM). Soil Research, . 10.1071/SR22110
closed
2022 5
Zhao, Yanxi; Xiao, Dengpan; Bai, Huizi; Tang, Jianzhao; Liu, Deli; 2022. Future Projection for Climate Suitability of Summer Maize in the North China Plain. Agriculture, 12348. 10.3390/agriculture12030348
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2022 15
Zhang, Yuxi; Walker, Jeffrey P.; Pauwels, Valentijn R.N.; 2022. Assimilation of wheat and soil states for improved yield prediction: The APSIM-EnKF framework. Agricultural Systems, 201103456. 10.1016/j.agsy.2022.103456
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2022 20
Anwar, Muhuddin Rajin; Luckett, David J.; Chauhan, Yashvir S.; Ip, Ryan H. L.; Maphosa, Lancelot; Simpson, Marja; Warren, Annie; Raman, Rosy; Richards, Mark F.; Pengilley, Georgina; Hobson, Kristy; Graham, Neroli; 2022. Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.). International Journal of Biometeorology, 66111–125. 10.1007/s00484-021-02197-8
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2022 8
Guo, Danlu; Wang, Quan J.; Ryu, Dongryeol; Yang, Qichun; Moller, Peter; Western, Andrew W.; 2022. An analysis framework to evaluate irrigation decisions using short-term ensemble weather forecasts. Irrigation Science, . 10.1007/s00271-022-00807-w
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2022 21
Ahmed, Zeeshan; Gui, Dongwei; Qi, Zhiming; Liu, Yi; Liu, Yunfei; Azmat, Muhammad; 2022. Agricultural system modeling: current achievements, innovations, and future roadmap. Arabian Journal of Geosciences, 15363. 10.1007/s12517-022-09654-7
closed
2022 15
Della Nave, Facundo N.; Ojeda, Jonathan J.; Irisarri, J. Gonzalo N.; Pembleton, Keith; Oyarzabal, Mariano; Oesterheld, Martín; 2022. Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions. Agricultural Systems, 201103459. 10.1016/j.agsy.2022.103459
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2022 18
Ma, Qianhu; Zhang, Xuemei; Wu, Yuhuan; Yang, Huimin; Wang, Zikui; 2022. Optimizing Water and Nitrogen Strategies to Improve Forage Oat Yield and Quality on the Tibetan Plateau Using APSIM. Agronomy, 12933. 10.3390/agronomy12040933
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2022 17
Zhu, Guangxin; Liu, Zhijuan; Qiao, Suliang; Zhang, Zhentao; Huang, Qiuwan; Su, Zhenge; Yang, Xiaoguang; 2022. How could observed sowing dates contribute to maize potential yield under climate change in Northeast China based on APSIM model. European Journal of Agronomy, 136126511. 10.1016/j.eja.2022.126511
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2022 38
Kirui, Benard Kipkoech; Makokha, Godfrey Ouma; Kuria, Bartholomew Thiong'o; 2022. Calibration and Parameterization of APSIM-Wheat using Earth Observation Data for wheat Simulation in Kenya. Journal of Agricultural Informatics, 13. 10.17700/jai.2022.13.1.629
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2022 1
Githui, Faith; Beverly, Craig; Aiad, Misbah; McCaskill, Malcolm; Liu, Ke; Harrison, Matthew Tom; 2022. Modelling Waterlogging Impacts on Crop Growth: A Review of Aeration Stress Definition in Crop Models and Sensitivity Analysis of APSIM. International Journal of Plant Biology, 13180–200. 10.3390/ijpb13030017
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2022 19
Ziliani, M. G.; Altaf, M. U.; Aragon, B.; Houborg, R.; Franz, T. E.; Lu, Y.; Sheffield, J.; Hoteit, I.; McCabe, M. F.; 2022. INTRA-FIELD CROP YIELD VARIABILITY BY ASSIMILATING CUBESAT LAI IN THE APSIM CROP MODEL. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 01045–1052. 10.5194/isprs-archives-XLIII-B3-2022-1045-2022
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2022 2
Yang, Rui; Dai, Panhong; Wang, Bin; Jin, Tao; Liu, Ke; Fahad, Shah; Harrison, Matthew Tom; Man, Jianguo; Shang, Jiandong; Meinke, Holger; Liu, Deli; Wang, Xiaoyan; Zhang, Yunbo; Zhou, Meixue; Tian, Yingbing; Yan, Haoliang; 2022. Over-Optimistic Projected Future Wheat Yield Potential in the North China Plain: The Role of Future Climate Extremes. Agronomy, 12145. 10.3390/agronomy12010145
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2022 15
Gonçalves, Ivo Z.; Costa, Leandro G. da; Marin, Fábio R.; 2022. Simulating sugarcane yield response to ETc replacements and green cane trash blanket maintenance in Brazil. Revista Brasileira de Engenharia Agrícola e Ambiental, 26586–593. 10.1590/1807-1929/agriambi.v26n8p586-593
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2022 4
Xiao, Dengpan; Bai, Huizi; Tang, Jianzhao; Liu, De Li; Yang, Yanmin; 2022. The role of cropping system adjustment in balancing grain yield and groundwater use across a rainfall gradient in the North China Plain under future climate scenarios *. Irrigation and Drainage, 71495–509. 10.1002/ird.2653
closed
2022 2
Niu, Xiaoli; Feng, Puyu; Liu, De-Li; Wang, Bin; Waters, Cathy; Zhao, Na; Ma, Tiancheng; 2022. Deficit Irrigation at Pre-Anthesis Can Balance Wheat Yield and Water Use Efficiency under Future Climate Change in North China Plain. Biology, 11692. 10.3390/biology11050692
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2022 5
Vogeler, Iris; Thomsen, Ingrid Kaag; Taube, Friedhelm; Poulsen, Henrik Vestergaard; Loges, Ralf; Hansen, Elly Møller; 2022. Effect of winter cereal sowing time on yield and nitrogen leaching based on experiments and modelling. Soil Use and Management, 38663–675. 10.1111/sum.12747
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2022 10
Yasin, Mubashra; Ahmad, Ashfaq; Khaliq, Tasneem; Habib-ur-Rahman, Muhammad; Niaz, Salma; Gaiser, Thomas; Ghafoor, Iqra; Hassan, Hafiz Suboor ul; Qasim, Muhammad; Hoogenboom, Gerrit; 2022. Climate change impact uncertainty assessment and adaptations for sustainable maize production using multi-crop and climate models. Environmental Science and Pollution Research, 2918967–18988. 10.1007/s11356-021-17050-z
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2022 41
Xiao, Dengpan; Bai, Huizi; Liu, De Li; Tang, Jianzhao; Wang, Bin; Shen, Yanjun; Cao, Jiansheng; Feng, Puyu; 2022. Projecting future changes in extreme climate for maize production in the North China Plain and the role of adjusting the sowing date. Mitigation and Adaptation Strategies for Global Change, 2721. 10.1007/s11027-022-09995-4
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2022 24
Kamali, Bahareh; Lorite, Ignacio J.; Webber, Heidi A.; Rezaei, Ehsan Eyshi; Gabaldon-Leal, Clara; Nendel, Claas; Siebert, Stefan; Ramirez-Cuesta, Juan Miguel; Ewert, Frank; Ojeda, Jonathan J.; 2022. Uncertainty in climate change impact studies for irrigated maize cropping systems in southern Spain. Scientific Reports, 124049. 10.1038/s41598-022-08056-9
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2022 20
Pfeiffer, Mirjam; Hoffmann, Munir P.; Scheiter, Simon; Nelson, William; Isselstein, Johannes; Ayisi, Kingsley; Odhiambo, Jude J.; Rötter, Reimund; 2022. Modeling the effects of alternative crop–livestock management scenarios on important ecosystem services for smallholder farming from a landscape perspective. Biogeosciences, 193935–3958. 10.5194/bg-19-3935-2022
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2022 11
Smith, Andrew P.; Zurcher, Eric; Llewellyn, Rick S.; Norman, Hayley C.; 2022. Designing Integrated Systems for the Low Rainfall Zone Based on Grazed Forage Shrubs with a Managed Interrow. Agronomy, 122348. 10.3390/agronomy12102348
cc-by · publishedVersion
2022 1
Hathie, Ibrahima; MacCarthy, Dilys; Freduah, Bright; Ly, Mouhamed; Ly, Ahmadou; Porter, Cheryl; Valdivia, Roberto; Ruane, Alexander; Antle, John; Mutter, Carolyn; Hoogenboom, Gerrit; 2022. AgMIP Regional Integrated Assessment of Agricultural Systems in Nioro, Senegal: Representative Agricultural Pathways, Climate, Crop and Economic Data Sets. Open Data Journal for Agricultural Research, 7. 10.18174/odjar.v7i0.17977
cc-by · publishedVersion
2022 1
Chaki, Apurbo K.; Gaydon, Donald S.; Dalal, Ram C.; Bellotti, William D.; Gathala, Mahesh K.; Hossain, Akbar; Menzies, Neal W.; 2022. How we used APSIM to simulate conservation agriculture practices in the rice-wheat system of the Eastern Gangetic Plains. Field Crops Research, 275108344. 10.1016/j.fcr.2021.108344
cc-by-nc-nd · publishedVersion
2022 37
Carcedo, Ana J. P.; Mayor, Laura; Demarco, Paula; Morris, Geoffrey P.; Lingenfelser, Jane; Messina, Carlos D.; Ciampitti, Ignacio A.; 2022. Environment Characterization in Sorghum (Sorghum bicolor L.) by Modeling Water-Deficit and Heat Patterns in the Great Plains Region, United States. Frontiers in Plant Science, 13768610. 10.3389/fpls.2022.768610
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2022 19
Han, Xiangfei; Dong, Lina; Cao, Yujun; Lyu, Yanjie; Shao, Xiwen; Wang, Yongjun; Wang, Lichun; 2022. Adaptation to Climate Change Effects by Cultivar and Sowing Date Selection for Maize in the Northeast China Plain. Agronomy, 12984. 10.3390/agronomy12050984
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2022 25
Taylor, Anna; Andreucci, Mariana; Zydenbos, Sue; 2022. Size of the prize: the value of closing pasture yield gaps on heterogeneous soil types in a dairy farm in Canterbury, New Zealand. Journal of New Zealand Grasslands, 189–199. 10.33584/jnzg.2021.83.3514
cc-by-sa · publishedVersion
2022 1
Ahmed, Zeeshan; Gui, Dongwei; Qi, Zhiming; Liu, Yi; Liu, Yunfei; Azmat, Muhammad; 2022. Agricultural system modeling: current achievements, innovations, and future roadmap. Arabian Journal of Geosciences, 15363. 10.1007/s12517-022-09654-7
closed
2022 15
Bai, Huizi; Xiao, Dengpan; Wang, Bin; Liu, De Li; Tang, Jianzhao; 2022. Simulation of Wheat Response to Future Climate Change Based on Coupled Model Inter-Comparison Project Phase 6 Multi-Model Ensemble Projections in the North China Plain. Frontiers in Plant Science, 13829580. 10.3389/fpls.2022.829580
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2022 29
Deihimfard, Reza; Rahimi-Moghaddam, Sajjad; Azizi, Khosro; Haghighat, Masoud; 2022. Increased heat stress risk for maize in arid-based climates as affected by climate change: threats and solutions. International Journal of Biometeorology, 661365–1378. 10.1007/s00484-022-02282-6
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2022 5
Bloch, V.; Palosuo, T.; Huitu, H.; Ronkainen, A.; Backman, J.; Pussi, K.; Suokannas, A.; Pastell, M.; 2022. Towards a digital twin for optimal field management.. agriRxiv, 2022. 10.31220/agriRxiv.2022.00165
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2022 1
Wang, Yakai; Liu, Zhunqiao; Yu, Qiang; Liu, Liangyun; Liu, Xinjie; Li, Linchao; Jia, Qianlan; Guo, Chenhui; Lu, Xiaoliang; 2022. Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model. Computers and Electronics in Agriculture, 203107494. 10.1016/j.compag.2022.107494
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2022 7
Watt, Lucinda J.; Bell, Lindsay W.; Pembleton, Keith G.; 2022. A forage brassica simulation model using APSIM: Model calibration and validation across multiple environments. European Journal of Agronomy, 137126517. 10.1016/j.eja.2022.126517
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2022 6
Wang, Yaxu; Lv, Juan; Sun, Hongquan; Zuo, Huiqiang; Gao, Hui; Qu, Yanping; Su, Zhicheng; Yang, Xiaojing; Yin, Jianming; 2022. Dynamic agricultural drought risk assessment for maize using weather generator and APSIM crop models. Natural Hazards, 1143083–3100. 10.1007/s11069-022-05506-5
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2022 7
Chatterjee, Amitava; Anapalli, Saseendran S.; 2022. Comparing CSM-CROPGRO and APSIM-OzCot Simulations for Cotton Production and Eddy Covariance-Based Evapotranspiration in Mississippi. Water, 144022. 10.3390/w14244022
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2022 5
Dokoohaki, Hamze; Rai, Teerath; Kivi, Marissa; Lewis, Philip; Gómez-Dans, Jose L.; Yin, Feng; 2022. Linking Remote Sensing with APSIM through Emulation and Bayesian Optimization to Improve Yield Prediction. Remote Sensing, 145389. 10.3390/rs14215389
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2022 14
Deihimfard, Reza; Rahimi-Moghaddam, Sajjad; Collins, Brian; Azizi, Khosro; 2022. Future climate change could reduce irrigated and rainfed wheat water footprint in arid environments. Science of The Total Environment, 807150991. 10.1016/j.scitotenv.2021.150991
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Habib-ur-Rahman, Muhammad; Ahmad, Ashfaq; Raza, Ahsan; Hasnain, Muhammad Usama; Alharby, Hesham F.; Alzahrani, Yahya M.; Bamagoos, Atif A.; Hakeem, Khalid Rehman; Ahmad, Saeed; Nasim, Wajid; Ali, Shafaqat; Mansour, Fatma; EL Sabagh, Ayman; 2022. Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia. Frontiers in Plant Science, 13. 10.3389/fpls.2022.925548
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Magwaza, S; van der Laan, M; Marais, D; 2022. Long-term experimental data and crop modelling to inform the ecological intensification of irrigated wheat production in South Africa. South African Journal of Plant and Soil, 39309–321. 10.1080/02571862.2022.2125094
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2022 2
Nowatzke, Matthew; Damiano, Luis; Miguez, Fernando E; McNunn, Gabe S; Niemi, Jarad; Schulte, Lisa A; Heaton, Emily A; VanLoocke, Andy; 2022. Augmenting agroecosystem models with remote sensing data and machine learning increases overall estimates of nitrate-nitrogen leaching. Environmental Research Letters, 17114010. 10.1088/1748-9326/ac998b
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2022 7
Watson-Hernández, Fernando; Serrano-Núñez, Valeria; Gómez-Calderón, Natalia; Pereira da Silva, Rouverson; 2022. Quantification and Evaluation of Water Requirements of Oil Palm Cultivation for Different Climate Change Scenarios in the Central Pacific of Costa Rica Using APSIM. Agronomy, 1319. 10.3390/agronomy13010019
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2022 7
Shrestha, Shreemat; Peel, Murray C.; Moore, Graham A.; Gaydon, Donald S.; Poulton, Perry L.; Dutta, Swaraj K.; 2022. Effect of Anthropogenic Aerosols on Wheat Production in the Eastern Indo-Gangetic Plain. Atmosphere, 131896. 10.3390/atmos13111896
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2022 3
Montes, Carlo; Urfels, Anton; Han, Eunjin; 2022. Planting Rice at Monsoon Onset Could Mitigate the Impact of Temperature Stress on Rice–Wheat Systems of Bihar, India. Atmosphere, 1440. 10.3390/atmos14010040
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2022 4
Chawdhery, Md Rafique Ahasan; Al-Mueed, Murtuza; Wazed, Md Abdul; Emran, Shah-Al; Chowdhury, Md Abeed Hossain; Hussain, Sk Ghulam; 2022. Climate Change Impacts Assessment Using Crop Simulation Model Intercomparison Approach in Northern Indo-Gangetic Basin of Bangladesh. International Journal of Environmental Research and Public Health, 1915829. 10.3390/ijerph192315829
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2022 7
Wu, Lu; Liu, Hongyan; Liang, Boyi; Zhu, Xinrong; Cao, Jing; Wang, Qiuming; Jiang, Lubing; Cressey, Elizabeth L.; Quine, Timothy A.; 2022. A process-based model reveals the restoration gap of degraded grasslands in Inner Mongolian steppe. Science of The Total Environment, 806151324. 10.1016/j.scitotenv.2021.151324
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2022 13
Ziliani, Matteo G.; Altaf, Muhammad U.; Aragon, Bruno; Houborg, Rasmus; Franz, Trenton E.; Lu, Yang; Sheffield, Justin; Hoteit, Ibrahim; McCabe, Matthew F.; 2022. Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model. Agricultural and Forest Meteorology, 313108736. 10.1016/j.agrformet.2021.108736
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Li, E.; Zhao, Jin; Pullens, Johannes W.M.; Yang, Xiaoguang; 2022. The compound effects of drought and high temperature stresses will be the main constraints on maize yield in Northeast China. Science of The Total Environment, 812152461. 10.1016/j.scitotenv.2021.152461
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2022 109
He, Qinsi; Liu, De Li; Wang, Bin; Li, Linchao; Cowie, Annette; Simmons, Aaron; Zhou, Hongxu; Tian, Qi; Li, Sien; Li, Yi; Liu, Ke; Yan, Haoliang; Harrison, Matthew Tom; Feng, Puyu; Waters, Cathy; Li, Guangdi D.; de Voil, Peter; Yu, Qiang; 2022. Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia. Agricultural Systems, 203103527. 10.1016/j.agsy.2022.103527
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2022 28
Vogeler, Iris; Böldt, Matthias; Taube, Friedhelm; 2022. Mineralisation of catch crop residues and N transfer to the subsequent crop. Science of The Total Environment, 810152142. 10.1016/j.scitotenv.2021.152142
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2022 19
Li, Yibo; Hou, Ruixing; Liu, Xiaodi; Chen, Yi; Tao, Fulu; 2022. Changes in wheat traits under future climate change and their contributions to yield changes in conventional vs. conservational tillage systems. Science of The Total Environment, 815152947. 10.1016/j.scitotenv.2022.152947
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2022 12
Swamila, Martha; Philip, Damas; Akyoo, Adam Meshack; Manda, Julius; Mwinuka, Lutengano; Smethurst, Philip J.; Sieber, Stefan; Kimaro, Anthony Anderson; 2021. Profitability of Gliricidia-Maize System in Selected Dryland Areas of Dodoma Region, Tanzania. Sustainability, 1453. 10.3390/su14010053
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2021 9
Jiménez Martínez, Marcos; Fürst, Christine; 2021. Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies. Land, 10827. 10.3390/land10080827
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2021 3
Collins, Brian; Najeeb, Ullah; Luo, Qunying; Tan, Daniel K. Y.; 2021. Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: Application of SUFI‐2 algorithm in northeast Australia. Journal of Agronomy and Crop Science, jac.12575. 10.1111/jac.12575
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2021 7
Palosuo, Taru; Hoffmann, Munir P.; Rötter, Reimund P.; Lehtonen, Heikki S.; 2021. Sustainable intensification of crop production under alternative future changes in climate and technology: The case of the North Savo region. Agricultural Systems, 190103135. 10.1016/j.agsy.2021.103135
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2021 21
Vogeler, Iris; Carrick, Sam; Lilburne, Linda; Cichota, Rogerio; Pollacco, Joseph; Fernández-Gálvez, Jesús; 2021. How important is the description of soil unsaturated hydraulic conductivity values for simulating soil saturation level, drainage and pasture yield?. Journal of Hydrology, 598126257. 10.1016/j.jhydrol.2021.126257
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2021 12
Tang, Jianzhao; Xiao, Dengpan; Wang, Jing; Fang, Quanxiao; Zhang, Jun; Bai, Huizi; 2021. Optimizing water and nitrogen managements for potato production in the agro-pastoral ecotone in North China. Agricultural Water Management, 253106945. 10.1016/j.agwat.2021.106945
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2021 42
Yang, Kai-Wei; Chapman, Scott; Carpenter, Neal; Hammer, Graeme; McLean, Greg; Zheng, Bangyou; Chen, Yuhao; Delp, Edward; Masjedi, Ali; Crawford, Melba; Ebert, David; Habib, Ayman; Thompson, Addie; Weil, Clifford; Tuinstra, Mitchell R; Yin, Xinyou; Long, Stephen P; 2021. Integrating crop growth models with remote sensing for predicting biomass yield of sorghum. in silico Plants, 3diab001. 10.1093/insilicoplants/diab001
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Tomar, Pradeep; Kaur, Gurjit; Wang, Yuchi; 2021. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture:. , . [3]
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Khaembah, Edith N.; Cichota, Rogerio; Vogeler, Iris; 2021. Simulation of management strategies to mitigate nitrogen losses from crop rotations in Southland, New Zealand. Journal of the Science of Food and Agriculture, 0. 10.1002/jsfa.11063
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2021 7
Arshad, Adnan; Raza, Muhammad Ali; Zhang, Yue; Zhang, Lizhen; Wang, Xuejiao; Ahmed, Mukhtar; Habib-ur-Rehman, Muhammad; 2021. Impact of Climate Warming on Cotton Growth and Yields in China and Pakistan: A Regional Perspective. Agriculture, 1197. 10.3390/agriculture11020097
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2021 68
Biswas, Amit; Mailapalli, Damodhara R.; Raghuwanshi, Narendra S.; 2021. Modelling the effect of changing transplanting date on consumptive water footprints for paddy under the system of rice intensification. Journal of the Science of Food and Agriculture, 0. 10.1002/jsfa.11186
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2021 4
Su, Zheng-e; Liu, Zhi-juan; Bai, Fan; Zhang, Zhen-tao; Sun, Shuang; Huang, Qiu-wan; Liu, Tao; Liu, Xiao-qing; Yang, Xiao-guang; 2021. Cultivar selection can increase yield potential and resource use efficiency of spring maize to adapt to climate change in Northeast China. Journal of Integrative Agriculture, 20371–382. 10.1016/S2095-3119(20)63359-7
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2021 10
Kumar, Uttam; Morel, Julien; Bergkvist, Göran; Palosuo, Taru; Gustavsson, Anne-Maj; Peake, Allan; Brown, Hamish; Ahmed, Mukhtar; Parsons, David; 2021. Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes. Plants, 10443. 10.3390/plants10030443
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2021 15
古丽娜扎尔·艾力null, 陶海宁; Gulnazar Ali, Hai-ning TAO; 2021. 基于APSIM模型的黄土旱塬区苜蓿——小麦轮作系统深层土壤水分及水分利用效率研究. 草业学报, 3022. 10.11686/cyxb2020271
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2021 3
Kivi, Marissa; Blakely, Bethany; Masters, Michael; Bernacchi, Carl J.; Miguez, Fernando E.; Dokoohaki, Hamze; 2021. Development of a Data-Assimilation System to Forecast Agricultural Systems: A Case Study of Constraining Soil Water and Soil Nitrogen Dynamics in the Apsim Model. SSRN Electronic Journal, . 10.2139/ssrn.3967423
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2021 8
F. M. Akinseye; A. H. Folorunsho; Ajeigbe; A. Hakeem; S. O. Agele; 2021. Impacts of rainfall and temperature on photoperiod insensitive sorghum cultivar : model evaluation and sensitivity analysis. Journal of Agrometeorology, 21262–269. 10.54386/jam.v21i3.248
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2021 4
Biswas, A.; Mailapalli, D. R.; Raghuwanshi, N. S.; 2021. APSIM-Oryza model for simulating paddy consumptive water footprints under alternate wetting and drying practice for Kharagpur, West Bengal, India. Paddy and Water Environment, . 10.1007/s10333-021-00849-4
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2021 7
Azmat, Muhammad; Ilyas, Fatima; Sarwar, Afia; Huggel, Christain; Vaghefi, Saeid Ashraf; Hui, Tao; Qamar, Muhammad Uzair; Bilal, Muhammad; Ahmed, Zeeshan; 2021. Impacts of climate change on wheat phenology and yield in Indus Basin, Pakistan. Science of The Total Environment, 790148221. 10.1016/j.scitotenv.2021.148221
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2021 35
Li, Yang; Wang, Jing; Tang, Jianzhao; Wang, Enli; Pan, Zhihua; Pan, Xuebiao; Hu, Qi; 2021. Optimum planting date and cultivar maturity to optimize potato yield and yield stability in North China. Field Crops Research, 269108179. 10.1016/j.fcr.2021.108179
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2021 28
Berghuijs, H.N.C.; Weih, M.; van der Werf, W.; Karley, A.J.; Adam, E.; Villegas-Fernandez, A.M.; Kiaer, L.P.; Newton, A.C.; Scherber, C.; Tavoletti, S.; Vico, G.; 2021. Calibrating and testing APSIM for wheat-faba bean pure cultures and intercrops across Europe. Field Crops Research, 264108088. 10.1016/j.fcr.2021.108088
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Dias, Henrique Boriolo; Sentelhas, Paulo Cesar; 2021. Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil. International Journal of Biometeorology, . 10.1007/s00484-021-02145-6
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2021 21
Pasley, Heather; Nichols, Virginia; Castellano, Michael; Baum, Mitchell; Kladivko, Eileen; Helmers, Matthew; Archontoulis, Sotirios; 2021. Rotating maize reduces the risk and rate of nitrate leaching. Environmental Research Letters, 16064063. 10.1088/1748-9326/abef8f
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2021 34
Wang, Xiaofang; Li, Yi; Chen, Xinguo; Wang, Haoran; Li, Linchao; Yao, Ning; Liu, De Li; Biswas, Asim; Sun, Shikun; 2021. Projection of the climate change effects on soil water dynamics of summer maize grown in water repellent soils using APSIM and HYDRUS-1D models. Computers and Electronics in Agriculture, 185106142. 10.1016/j.compag.2021.106142
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2021 35
Pinheiro, Antonio Gebson; Souza, Luciana Sandra Bastos de; Jardim, Alexandre Maniçoba da Rosa Ferraz; Araújo Júnior, George do Nascimento; Alves, Cleber Pereira; Souza, Carlos André Alves de; Silva, Gabriel Ítalo Novaes da; Silva, Thieres George Freire da; 2021. Importância dos modelos de simulação de culturas diante os impactos das alterações climáticas sobre a produção agrícola - Revisão. Revista Brasileira de Geografia Física, 143648. 10.26848/rbgf.v14.6.p3648-3666
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2021 2
Akhavizadegan, Faezeh; Ansarifar, Javad; Wang, Lizhi; Huber, Isaiah; Archontoulis, Sotirios V.; 2021. A time-dependent parameter estimation framework for crop modeling. Scientific Reports, 1111437. 10.1038/s41598-021-90835-x
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2021 40
Raza, Ahsan; Ahrends, Hella; Habib-Ur-Rahman, Muhammad; Gaiser, Thomas; 2021. Modeling Approaches to Assess Soil Erosion by Water at the Field Scale with Special Emphasis on Heterogeneity of Soils and Crops. Land, 10422. 10.3390/land10040422
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2021 68
Del Bimbo, Alberto; Cucchiara, Rita; Sclaroff, Stan; Farinella, Giovanni Maria; Mei, Tao; Bertini, Marco; Escalante, Hugo Jair; Vezzani, Roberto; Pylianidis, Christos; Snow, Val; Holzworth, Dean; Bryant, Jeremy; Athanasiadis, Ioannis N.; 2021. Location-Specific vs Location-Agnostic Machine Learning Metamodels for Predicting Pasture Nitrogen Response Rate. , 1266645–54. [4]
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2021 2
Lu, Yang; Wang, Enli; Zhao, Zhigan; Liu, Xiuwei; Tian, Ailing; Zhang, Xiying; 2021. Optimizing irrigation to reduce N leaching and maintain high crop productivity through the manipulation of soil water storage under summer monsoon climate. Field Crops Research, 265108110. 10.1016/j.fcr.2021.108110
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2021 42
Zhao, H.D.; Sassenrath, G.F.; Zambreski, Z.T.; Shi, L.; Lollato, R.; De Wolf, E.; Lin, X.; 2021. Predicting Winter Wheat Heading Date: A Simple Model and Its Validation in Kansas. Journal of Applied Meteorology and Climatology, 601685–1696. 10.1175/JAMC-D-21-0040.1
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2021 2
Campolo, Jake; Güereña, David; Maharjan, Shashish; Lobell, David B.; 2021. Evaluation of soil-dependent crop yield outcomes in Nepal using ground and satellite-based approaches. Field Crops Research, 260107987. 10.1016/j.fcr.2020.107987
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2021 14
Xiao, Dengpan; Liu, De Li; Feng, Puyu; Wang, Bin; Waters, Cathy; Shen, Yanjun; Qi, Yongqing; Bai, Huizi; Tang, Jianzhao; 2021. Future climate change impacts on grain yield and groundwater use under different cropping systems in the North China Plain. Agricultural Water Management, 246106685. 10.1016/j.agwat.2020.106685
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2021 72
Zhang, Yajie; Yu, Qiang; 2021. Does agroecosystem model improvement increase simulation accuracy for agricultural N2O emissions?. Agricultural and Forest Meteorology, 297108281. 10.1016/j.agrformet.2020.108281
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2021 15
Xu, Xibao; Liu, Jingping; Tan, Yan; Yang, Guishan; 2021. Quantifying and optimizing agroecosystem services in China's Taihu Lake Basin. Journal of Environmental Management, 277111440. 10.1016/j.jenvman.2020.111440
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2021 29
Mandrini, German; Bullock, David S.; Martin, Nicolas F.; 2021. Modeling the economic and environmental effects of corn nitrogen management strategies in Illinois. Field Crops Research, 261108000. 10.1016/j.fcr.2020.108000
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2021 23
Jones, M.R.; Singels, A.; Chinorumba, S.; Poser, C.; Christina, M.; Shine, J.; Annandale, J.; Hammer, G.L.; 2021. Evaluating process-based sugarcane models for simulating genotypic and environmental effects observed in an international dataset. Field Crops Research, 260107983. 10.1016/j.fcr.2020.107983
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2021 7
Rotili, Diego Hernán; Abeledo, L. Gabriela; deVoil, Peter; Rodríguez, Daniel; Maddonni, Gustavo Ángel; 2021. Exploring the effect of tillers on the water economy, plant growth and kernel set of low-density maize crops. Agricultural Water Management, 243106424. 10.1016/j.agwat.2020.106424
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2021 23
Gaydon, Donald S.; Khaliq, Tasneem; Ahmad, Mobin-ud-Din; Cheema, M.J.M.; Gull, Umair; 2021. Tweaking Pakistani Punjab rice-wheat management to maximize productivity within nitrate leaching limits. Field Crops Research, 260107964. 10.1016/j.fcr.2020.107964
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2021 17
Nan, Zhe; Wang, Xiaoyan; Du, Yi; Melching, Charles S.; Shang, Xueshen; 2021. Critical period and pathways of water borne nitrogen loss from a rice paddy in northeast China. Science of The Total Environment, 753142116. 10.1016/j.scitotenv.2020.142116
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2021 17
Singh, Ajit Pratap; Dhadse, Kunal; 2021. Economic evaluation of crop production in the Ganges region under climate change: A sustainable policy framework. Journal of Cleaner Production, 278123413. 10.1016/j.jclepro.2020.123413
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2021 38
Roberton, S.D.; Lobsey, C.R.; Bennett, J.McL.; 2021. A Bayesian approach toward the use of qualitative information to inform on-farm decision making: The example of soil compaction. Geoderma, 382114705. 10.1016/j.geoderma.2020.114705
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2021 14
Rahimi-Moghaddam, Sajjad; Eyni-Nargeseh, Hamed; Ahmadi, Seyed Ahmad Kalantar; Azizi, Khosro; 2021. Towards withholding irrigation regimes and drought-resistant genotypes as strategies to increase canola production in drought-prone environments: A modeling approach. Agricultural Water Management, 243106487. 10.1016/j.agwat.2020.106487
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2021 24
He, Di; Oliver, Yvette; Wang, Enli; 2021. Predicting plant available water holding capacity of soils from crop yield. Plant and Soil, 459315–328. 10.1007/s11104-020-04757-0
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2021 0
Hussein, Mahmood A.; Antille, Diogenes L.; Kodur, Shreevatsa; Chen, Guangnan; Tullberg, Jeff N.; 2021. Controlled traffic farming effects on productivity of grain sorghum, rainfall and fertiliser nitrogen use efficiency. Journal of Agriculture and Food Research, 3100111. 10.1016/j.jafr.2021.100111
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2021 29
S.H.N.P., De Silva; Takahashi, Taro; Okada, Kensuke; 2021. Evaluation of APSIM-wheat to simulate the response of yield and grain protein content to nitrogen application on an Andosol in Japan. Plant Production Science, 1–12. 10.1080/1343943X.2021.1883989
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2021 7
Bilotto, Franco; Harrison, Matthew Tom; Migliorati, Massimiliano De Antoni; Christie, Karen M.; Rowlings, David W.; Grace, Peter R.; Smith, Andrew P.; Rawnsley, Richard P.; Thorburn, Peter J.; Eckard, Richard J.; 2021. Can seasonal soil N mineralisation trends be leveraged to enhance pasture growth?. Science of The Total Environment, 772145031. 10.1016/j.scitotenv.2021.145031
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Collins, Brian; 2021. Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity. in silico Plants, 3diab006. 10.1093/insilicoplants/diab006
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2021 33
Shahhosseini, Mohsen; Hu, Guiping; Huber, Isaiah; Archontoulis, Sotirios V.; 2021. Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt. Scientific Reports, 111606. 10.1038/s41598-020-80820-1
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Collins, Brian; Chenu, Karine; 2021. Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate. Climate Risk Management, 32100300. 10.1016/j.crm.2021.100300
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Gaydon, D.S.; Radanielson, A.M.; Chaki, A.K.; Sarker, M.M.R.; Rahman, M.A.; Rashid, M.H.; Kabir, Md.J.; Khan, A.S.M.M.R.; Gaydon, E.R.; Roth, C.H.; 2021. Options for increasing Boro rice production in the saline coastal zone of Bangladesh. Field Crops Research, 264108089. 10.1016/j.fcr.2021.108089
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2021 35
Böldt, Matthias; Taube, Friedhelm; Vogeler, Iris; Reinsch, Thorsten; Kluß, Christof; Loges, Ralf; 2021. Evaluating Different Catch Crop Strategies for Closing the Nitrogen Cycle in Cropping Systems—Field Experiments and Modelling. Sustainability, 13394. 10.3390/su13010394
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2021 32
Kheir, Ahmed M. S.; Alkharabsheh, Hiba M.; Seleiman, Mahmoud F.; Al-Saif, Adel M.; Ammar, Khalil A.; Attia, Ahmed; Zoghdan, Medhat G.; Shabana, Mahmoud M. A.; Aboelsoud, Hesham; Schillaci, Calogero; 2021. Calibration and Validation of AQUACROP and APSIM Models to Optimize Wheat Yield and Water Saving in Arid Regions. Land, 101375. 10.3390/land10121375
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2021 45
Mwambo, Francis Molua; Fürst, Christine; Martius, Christopher; Jimenez-Martinez, Marcos; Nyarko, Benjamin Kofi; Borgemeister, Christian; 2021. Combined application of the EM-DEA and EX-ACT approaches for integrated assessment of resource use efficiency, sustainability and carbon footprint of smallholder maize production practices in sub-Saharan Africa. Journal of Cleaner Production, 126132. 10.1016/j.jclepro.2021.126132
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2021 25
Wu, Yushan; He, Di; Wang, Enli; Liu, Xin; Huth, Neil I.; Zhao, Zhigan; Gong, Wanzhuo; Yang, Feng; Wang, Xiaochun; Yong, Taiwen; Liu, Jiang; Liu, Weiguo; Du, Junbo; Pu, Tian; Liu, Chunyan; Yu, Liang; van der Werf, Wopke; Yang, Wenyu; 2021. Modelling soybean and maize growth and grain yield in strip intercropping systems with different row configurations. Field Crops Research, 265108122. 10.1016/j.fcr.2021.108122
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Gladish, Daniel W.; He, Di; Wang, Enli; 2021. Pattern analysis of Australia soil profiles for plant available water capacity. Geoderma, 391114977. 10.1016/j.geoderma.2021.114977
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2021 5
Teixeira, Edmar; Kersebaum, Kurt Christian; Ausseil, Anne-Gaelle; Cichota, Rogerio; Guo, Jing; Johnstone, Paul; George, Michael; Liu, Jian; Malcolm, Brendon; Khaembah, Edith; Meiyalaghan, Sathiyamoorthy; Richards, Kate; Zyskowski, Robert; Michel, Alexandre; Sood, Abha; Tait, Andrew; Ewert, Frank; 2021. Understanding spatial and temporal variability of N leaching reduction by winter cover crops under climate change. Science of The Total Environment, 771144770. 10.1016/j.scitotenv.2020.144770
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2021 23
Bell, L.W.; Moore, A.D.; Thomas, D.T.; 2021. Diversified crop-livestock farms are risk-efficient in the face of price and production variability. Agricultural Systems, 189103050. 10.1016/j.agsy.2021.103050
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Dewi, E R; Susanti, E; Apriyana, Y; 2021. Planting time options to improve rice productivity based on the Integrated KATAM recommendations. IOP Conference Series: Earth and Environmental Science, 648012105. 10.1088/1755-1315/648/1/012105
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2021 3
Yang, Xuan; Menefee, Dorothy; Cui, Song; Rajan, Nithya; 2021. Assessing the impacts of projected climate changes on maize (Zea mays) productivity using crop models and climate scenario simulation. Crop and Pasture Science, 72969. 10.1071/CP21279
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2021 4
Guo, Tianting; Liu, Chunwei; Xiang, Ying; Zhang, Pei; Wang, Ranghui; 2021. Simulations of the Soil Evaporation and Crop Transpiration Beneath a Maize Crop Canopy in a Humid Area. Water, 131975. 10.3390/w13141975
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2021 4
Bandara, W. B. M. A. C.; Sakai, Kazuhito; Nakandakari, Tamotsu; Kapetch, Preecha; Anan, Mitsumasa; Nakamura, Shinya; Setouchi, Hideki; Rathnappriya, R. H. K.; 2021. Global Optimization of Cultivar Trait Parameters in the Simulation of Sugarcane Phenology Using Gaussian Process Emulation. Agronomy, 111379. 10.3390/agronomy11071379
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2021 2
Yin, Fang; Jin, Ziyue; Zhu, Jiazheng; Liu, Lei; Zhao, Danyun; 2021. Spatial Assessment of Jerusalem Artichoke’s Potential as an Energy Crop in the Marginal Land of the Shaanxi Province, China. Sustainability, 1313576. 10.3390/su132413576
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2021 1
Noriega-Navarrete, José Luis; Salazar-Moreno, Raquel; López-Cruz, Irineo Lorenzo; 2021. Revisión: modelos de crecimiento y rendimiento de maíz en escenarios de cambio climático. Revista Mexicana de Ciencias Agrícolas, 12127–140. 10.29312/remexca.v12i1.2552
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Pinheiro, Antonio Gebson; Souza, Luciana Sandra Bastos de; Jardim, Alexandre Maniçoba da Rosa Ferraz; Araújo Júnior, George do Nascimento; Alves, Cleber Pereira; Souza, Carlos André Alves de; Silva, Gabriel Ítalo Novaes da; Silva, Thieres George Freire da; 2021. Importância dos modelos de simulação de culturas diante os impactos das alterações climáticas sobre a produção agrícola - Revisão. Revista Brasileira de Geografia Física, 143648. 10.26848/rbgf.v14.6.p3648-3666
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2021 2
Fayaz, Asma; Kumar, Y. Rajit; Lone, Bilal Ahmad; Kumar, Sandeep; Dar, Z. A.; Rasool, Faisal; Abidi, Ishfaq; Nisar, Fouzea; Kumar, Anil; 2021. Crop Simulation Models: A Tool for Future Agricultural Research and Climate Change. Asian Journal of Agricultural Extension, Economics & Sociology, 146–154. 10.9734/ajaees/2021/v39i630602
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2021 10
Nelson, William C. D.; Hoffmann, Munir P.; Vadez, Vincent; Rötter, Reimund P.; Koch, Marian; Whitbread, Anthony M.; 2021. Can intercropping be an adaptation to drought? A model‐based analysis for pearl millet–cowpea. Journal of Agronomy and Crop Science, jac.12552. 10.1111/jac.12552
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2021 27
Cichota, Rogerio; Vogeler, Iris; Sharp, Joanna; Verburg, Kirsten; Huth, Neil; Holzworth, Dean; Dalgliesh, Neal; Snow, Val; 2021. A protocol to build soil descriptions for APSIM simulations. MethodsX, 8101566. 10.1016/j.mex.2021.101566
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2021 27
Zhu, Junqi; Parker, Amber; Gou, Fang; Agnew, Rob; Yang, Linlin; Greven, Marc; Raw, Victoria; Neal, Sue; Martin, Damian; Trought, Michael C T; Huth, Neil; Brown, Hamish Edward; Hammer, Graeme; 2021. Developing perennial fruit crop models in APSIM Next Generation using grapevine as an example. in silico Plants, 3diab021. 10.1093/insilicoplants/diab021
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2021 18
Wajid, Aftab; Hussain, Khalid; Ilyas, Ayesha; Habib-ur-Rahman, Muhammad; Shakil, Qamar; Hoogenboom, Gerrit; 2021. Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments. Agriculture, 111166. 10.3390/agriculture11111166
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2021 34
Chemura, Abel; Yalew, Amsalu Woldie; Gornott, Christoph; 2021. Quantifying Agroforestry Yield Buffering Potential Under Climate Change in the Smallholder Maize Farming Systems of Ethiopia. Frontiers in Agronomy, 3609536. 10.3389/fagro.2021.609536
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2021 29
Hussein, Mahmood A.; Antille, Diogenes L.; Kodur, Shreevatsa; Chen, Guangnan; Tullberg, Jeff N.; 2021. Controlled traffic farming delivers improved agronomic performance of wheat as a result of enhanced rainfall and fertiliser nitrogen use efficiency. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science, 71377–398. 10.1080/09064710.2021.1903984
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2021 4
Shukr, Hanan H.; Pembleton, Keith G.; Zull, Andrew F.; Cockfield, Geoff J.; 2021. Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems. Agronomy, 11231. 10.3390/agronomy11020231
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2021 17
Feleke, Hirut Getachew; Savage, Mj; Tesfaye, Kindie; 2021. Calibration and validation of APSIM–Maize, DSSAT CERES–Maize and AquaCrop models for Ethiopian tropical environments. South African Journal of Plant and Soil, 3836–51. 10.1080/02571862.2020.1837271
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2021 32
Rohit Patidar; M. Mohanty; Nishant K. Sinha; S.C. Gupta; J. Somasundaram; R.S. Chaudhary; R. Soliya; K.M. Hati; M. Prabhakar; K. Sammi Reddy; A.K. Patra; Srinivas Rao Ch.; 2021. Potential impact of future climate change on maize (Zea mays L.) under rainfed condition in central India. Journal of Agrometeorology, 2218–23. 10.54386/jam.v22i1.117
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2021 5
Zeleke, Ketema; 2021. Simulating Agronomic Adaptation Strategies to Mitigate the Impacts of Climate Change on Wheat Yield in South-Eastern Australia. Agronomy, 11337. 10.3390/agronomy11020337
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2021 8
Masikati, Patricia; Sisito, Givious; Chipatela, Floyd; Tembo, Howard; Winowiecki, Leigh Ann; 2021. Agriculture extensification and associated socio-ecological trade-offs in smallholder farming systems of Zambia. International Journal of Agricultural Sustainability, 19497–508. 10.1080/14735903.2021.1907108
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2021 14
Chen, Shichao; Parsons, David; Du, Taisheng; Kumar, Uttam; Wang, Sufen; 2021. Simulation of yield and water balance using WHCNS and APSIM combined with geostatistics across a heterogeneous field. Agricultural Water Management, 258107174. 10.1016/j.agwat.2021.107174
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2021 14
Sanderson, C.; Pagendam, D.; Power, B.; Bennett, F.; Darnell, R.; 2021. Opportunistic emulation of computationally expensive simulations via Deep Learning. 24th International Congress on Modelling and Simulation, . 10.36334/modsim.2021.L1.sanderson
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2021 2
Guo, Hao; Huang, Zhigang; Tan, Mengchao; Ruan, Hongyan; Awe, Gabriel Oladele; Are, Kayode Steven; Abegunrin, Toyin Peter; Hussain, Zahid; Kuang, Zhaomin; Liu, Deli; 2021. Crop resilience to climate change: A study of spatio-temporal variability of sugarcane yield in a subtropical region, China. Smart Agricultural Technology, 1100014. 10.1016/j.atech.2021.100014
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2021 9
Tahir, N.; Li, J.; Ma, Y.; Ullah, A.; Liu, H.; 2021. A 20-YEAR LONG TERM STUDY OF YIELD SUSTAINABILITY AND SOIL FERTILITY AFFECTED BY FERTILIZATION AND APSIM CLIMATIC CHANGE MODEL OF URUMQI, XINJIANG, CHINA. Applied Ecology and Environmental Research, 191827–1855. 10.15666/aeer/1903_18271855
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2021 4
کشاورز مهر, مصطفی; مقدم, حسین; اویسی, مصطفی; بذرافشان, جواد; 2021. پارامتریابی و ارزیابی مدل APSIM-Wheat برای گندم زمستانه : کاربرد مدل تحت تغییرات اقلیمی. به زراعی کشاورزی, . 10.22059/jci.2021.240747.1824
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Zhang, Yuxi; Walker, Jeffrey P.; Pauwels, Valentijn R. N.; Sadeh, Yuval; 2021. Assimilation of Wheat and Soil States into the APSIM-Wheat Crop Model: A Case Study. Remote Sensing, 1465. 10.3390/rs14010065
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2021 30
Tomar, Pradeep; Kaur, Gurjit; 2021. WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time:. , 243–254. [5]
unknown
2021 4
Goyal, Megh R.; Ray, Lala I. P.; Ahmed, Mukhtar; Ahmad, Shakeel; Fahad, Shah; 2021. Potential Applications of DSSAT, AquaCrop, APSIM Models for Crop Water Productivity and Irrigation Scheduling. , 137–170. [6]
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2021 4
Collins, Brian; Najeeb, Ullah; Luo, Qunying; Tan, Daniel K. Y.; 2021. Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: Application of SUFI‐2 algorithm in northeast Australia. Journal of Agronomy and Crop Science, jac.12575. 10.1111/jac.12575
closed
2021 7
Chisanga, Charles B.; Phiri, Elijah; Chinene, Vernon R. N.; 2021. Evaluating APSIM-and-DSSAT-CERES-Maize Models under Rainfed Conditions Using Zambian Rainfed Maize Cultivars. Nitrogen, 2392–414. 10.3390/nitrogen2040027
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2021 21
Briak, Hamza; Kebede, Fassil; 2021. Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model. Scientific Reports, 1123173. 10.1038/s41598-021-02668-3
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2021 24
Sarvajayakesavalu, Suriyanarayanan; Charoensudjai, Pisit; Musundi Kwena, Kizito; Karuku, G.N.; Ayuke, F.O.; Esilaba, A.O.; 2021. Impact of Climate Change on Maize and Pigeonpea Yields in Semi-Arid Kenya. , . [7]
unknown
2021 3
Timsina, Jagadish; Dutta, Sudarshan; Devkota, Krishna Prasad; Chakraborty, Somsubhra; Neupane, Ram Krishna; Bishta, Sudarshan; Amgain, Lal Prasad; Singh, Vinod K.; Islam, Saiful; Majumdar, Kaushik; 2021. Improved nutrient management in cereals using Nutrient Expert and machine learning tools: Productivity, profitability and nutrient use efficiency. Agricultural Systems, 192103181. 10.1016/j.agsy.2021.103181
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2021 56
Beah, Aloysius; Kamara, Alpha Yaya; Jibrin, Jibrin Mohamed; Akinseye, Folorunso Mathew; Tofa, Abdullahi Ibrahim; Ademulegun, Temitope Damian; 2021. Simulation of the Optimum Planting Windows for Early and Intermediate-Maturing Maize Varieties in the Nigerian Savannas Using the APSIM Model. Frontiers in Sustainable Food Systems, 5624886. 10.3389/fsufs.2021.624886
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2021 16
Morel, Julien; Kumar, Uttam; Ahmed, Mukhtar; Bergkvist, Göran; Lana, Marcos; Halling, Magnus; Parsons, David; 2021. Quantification of the Impact of Temperature, CO2, and Rainfall Changes on Swedish Annual Crops Production Using the APSIM Model. Frontiers in Sustainable Food Systems, 5665025. 10.3389/fsufs.2021.665025
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2021 24
Bustos-Korts, Daniela; Boer, Martin P; Chenu, Karine; Zheng, Bangyou; Chapman, Scott; van Eeuwijk, Fred A; Messina, Carlos; Long, Stephen P; 2021. Genotype-specific P-spline response surfaces assist interpretation of regional wheat adaptation to climate change. in silico Plants, 3diab018. 10.1093/insilicoplants/diab018
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2021 12
Boote, Kenneth J.; Adam, Myriam; Ahmad, Ishfaq; Ahmad, Shakeel; Cammarano, Davide; Chattha, Ashfaq Ahmad; Claessens, Lieven; Dimes, John; Durand, Wiltrud; Freduah, Bright S.; Gummadi, Sridhar; Hargreaves, John; Hoogenboom, Gerrit; Homann-Kee Tui, Sabine; Jones, James W.; Khaliq, Tasneem; MacCarthy, Dilys S.; Masikati, Patricia; McDermid, Sonali; Kadiyala, Dakshina Murthy; Nenkam, Andree; Porter, Cheryl; Ruane, Alex C.; Subash, Nataraja; Thorburn, Peter; Traore, Pierre S.; Vellingiri, Geethalakshmi; Wajid, Syed Aftab; 2021. Understanding Differences in Climate Sensitivity Simulations of APSIM and DSSAT Crop Models. , 15–46. [8]
unknown
2021 3
Dokoohaki, Hamze; Kivi, Marissa S; Martinez-Feria, Rafael; Miguez, Fernando E; Hoogenboom, Gerrit; 2021. A comprehensive uncertainty quantification of large-scale process-based crop modeling frameworks. Environmental Research Letters, 16084010. 10.1088/1748-9326/ac0f26
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2021 45
Barton, Madeleine; Parry, Hazel; Ward, Samantha; Hoffmann, Ary A.; Umina, Paul A.; van Helden, Maarten; Macfadyen, Sarina; 2021. Forecasting impacts of biological control under future climates: mechanistic modelling of an aphid pest and a parasitic wasp. Ecological Modelling, 457109679. 10.1016/j.ecolmodel.2021.109679
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2021 9
Shahhosseini, Mohsen; Hu, Guiping; Huber, Isaiah; Archontoulis, Sotirios V.; 2021. Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt. Scientific Reports, 111606. 10.1038/s41598-020-80820-1
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2021 363
Ojeda, Jonathan J.; Rezaei, Ehsan Eyshi; Kamali, Bahareh; McPhee, John; Meinke, Holger; Siebert, Stefan; Webb, Mathew A.; Ara, Iffat; Mulcahy, Frank; Ewert, Frank; 2021. Impact of crop management and environment on the spatio-temporal variance of potato yield at regional scale. Field Crops Research, 270108213. 10.1016/j.fcr.2021.108213
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2021 32
Nechaev, A. I.; 2021. Structure of the information management system of cereal crops cultivation. Siberian Herald of Agricultural Science, 5196–106. 10.26898/0370-8799-2021-2-12
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2021 1
Dias, Henrique Boriolo; Sentelhas, Paulo Cesar; Inman-Bamber, Geoff; Everingham, Yvette; 2021. Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model. Industrial Crops and Products, 171113918. 10.1016/j.indcrop.2021.113918
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2021 14
Ojeda, Jonathan J.; Huth, Neil; Holzworth, Dean; Raymundo, Rubí; Zyskowski, Robert F.; Sinton, Sarah M.; Michel, Alexandre J.; Brown, Hamish E.; 2021. Assessing errors during simulation configuration in crop models – A global case study using APSIM-Potato. Ecological Modelling, 458109703. 10.1016/j.ecolmodel.2021.109703
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2021 16
Xu, Fang; Wang, Bin; He, Chuan; Liu, De Li; Feng, Puyu; Yao, Ning; Zhang, Renhe; Xu, Shutu; Xue, Jiquan; Feng, Hao; Yu, Qiang; He, Jianqiang; 2021. Optimizing Sowing Date and Planting Density Can Mitigate the Impacts of Future Climate on Maize Yield: A Case Study in the Guanzhong Plain of China. Agronomy, 111452. 10.3390/agronomy11081452
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2021 26
Yang, Xiumei; Brown, Hamish E.; Teixeira, Edmar I.; Moot, Derrick J.; 2021. Development of a lucerne model in APSIM next generation: 1 phenology and morphology of genotypes with different fall dormancies. European Journal of Agronomy, 130126372. 10.1016/j.eja.2021.126372
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2021 14
Rahimi-Moghaddam, Sajjad; Deihimfard, Reza; Azizi, Khosro; Roostaei, Mozaffar; 2021. Characterizing spatial and temporal trends in drought patterns of rainfed wheat (Triticum aestivum L.) across various climatic conditions: A modelling approach. European Journal of Agronomy, 129126333. 10.1016/j.eja.2021.126333
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2021 9
Saira,   Anam; Maria Mahmood, Hafiza; Bibi, Asma; Hussain, Sajid; Faizan Ullah, Muhammad; Aslam, Mahnoor; Amjad Farooq, Muhammad; 2021. A Review on Current Advances in Crop Productivity, Applications and Impact on Agricultural or Biological Farming. Scholars Bulletin, 793–97. 10.36348/sb.2021.v07i04.005
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2021 0
Yang, Jinpeng; He, Yingbin; Luo, Shanjun; Ma, Xintian; Li, Zhiqiang; Lin, Zeru; Zhang, Zhiliang; 2021. Optimizing the Optimal Planting Period for Potato Based on Different Water-Temperature Year Types in the Agro-Pastoral Ecotone of North China. Agriculture, 111061. 10.3390/agriculture11111061
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2021 7
Afshar, Mehdi H.; Foster, Timothy; Higginbottom, Thomas P.; Parkes, Ben; Hufkens, Koen; Mansabdar, Sanjay; Ceballos, Francisco; Kramer, Berber; 2021. Improving the Performance of Index Insurance Using Crop Models and Phenological Monitoring. Remote Sensing, 13924. 10.3390/rs13050924
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2021 33
Liu, Ke; Harrison, Matthew Tom; Archontoulis, Sotirios V; Huth, Neil; Yang, Rui; Liu, De Li; Yan, Haoliang; Meinke, Holger; Huber, Isaiah; Feng, Puyu; Ibrahim, Ahmed; Zhang, Yunbo; Tian, Xiaohai; Zhou, Meixue; 2021. Climate change shifts forward flowering and reduces crop waterlogging stress. Environmental Research Letters, 16094017. 10.1088/1748-9326/ac1b5a
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2021 79
Grotelüschen, Kristina; Gaydon, Donald S.; Langensiepen, Matthias; Ziegler, Susanne; Kwesiga, Julius; Senthilkumar, Kalimuthu; Whitbread, Anthony M.; Becker, Mathias; 2021. Assessing the effects of management and hydro-edaphic conditions on rice in contrasting East African wetlands using experimental and modelling approaches. Agricultural Water Management, 258107146. 10.1016/j.agwat.2021.107146
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2021 10
Hao, Shirui; Ryu, Dongryeol; Western, Andrew; Perry, Eileen; Bogena, Heye; Franssen, Harrie Jan Hendricks; 2021. Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis. Agricultural Systems, 194103278. 10.1016/j.agsy.2021.103278
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2021 60
Pinheiro, A.G.; de Souza, L.S.B.; Jardim, A.M. da R.F.; Araújo Júnior, G do N.; Alves, C.P.; de Souza, C.A.A.; da Silva, G.í.N.; da Silva, T.G.F.; 2021. Importância dos modelos de simulação de culturas diante os impactos das alterações climáticas sobre a produção agrícola - Revisão. Revista Brasileira de Geografia Física, 143648-3666. 10.26848/rbgf.v14.6.p3648-3666
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2021 2
Susanti, Erni; Dewi, Elsa Rakhmi; Surmaini, Elza; Sopaheluwakan, Ardhasena; Linarko, Aji; Syahputra, Muhammad Ridho; Indrawanto, C.; 2021. The projection of rice production in Java Island to support Indonesia as the world food granary. E3S Web of Conferences, 30601011. 10.1051/e3sconf/202130601011
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2021 3
Dias, Henrique Boriolo; Inman-Bamber, Geoff; Sentelhas, Paulo Cesar; Everingham, Yvette; Bermejo, Rodrigo; Christodoulou, Diomedes; 2021. High-yielding sugarcane in tropical Brazil – Integrating field experimentation and modelling approach for assessing variety performances. Field Crops Research, 274108323. 10.1016/j.fcr.2021.108323
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2021 8
Yasin, Mubashra; Ahmad, Ashfaq; Khaliq, Tasneem; Habib-ur-Rahman, Muhammad; Niaz, Salma; Gaiser, Thomas; Ghafoor, Iqra; Hassan, Hafiz Suboor ul; Qasim, Muhammad; Hoogenboom, Gerrit; 2021. Climate change impact uncertainty assessment and adaptations for sustainable maize production using multi-crop and climate models. Environmental Science and Pollution Research, . 10.1007/s11356-021-17050-z
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2021 41
Raymond, Nelly; Kopittke, Peter M.; Wang, Enli; Lester, David; Bell, Michael J.; 2021. Does the APSIM model capture soil phosphorus dynamics? A case study with Vertisols. Field Crops Research, 273108302. 10.1016/j.fcr.2021.108302
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2021 21
Li, Jianzheng; Wang, Ligang; Luo, Zhongkui; Wang, Enli; Wang, Guocheng; Zhou, Han; Li, Hu; Xu, Shiwei; 2021. Reducing N2O emissions while maintaining yield in a wheat–maize rotation system modelled by APSIM. Agricultural Systems, 194103277. 10.1016/j.agsy.2021.103277
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2021 21
Tahir, Nazia; Li, Jumei; Ma, Yibing; Ullah, Aman; Zhu, Ping; Peng, Chang; Hussain, Babar; Danish, Subhan; 2021. 20 Years nitrogen dynamics study by using APSIM nitrogen model simulation for sustainable management in Jilin China. Scientific Reports, 1117505. 10.1038/s41598-021-96386-5
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2021 16
Hussain, Jamshad; Khaliq, Tasneem; Asseng, Senthold; Saeed, Umer; Ahmad, Ashfaq; Ahmad, Burhan; Ahmad, Ishfaq; Fahad, Muhammad; Awais, Muhammad; Ullah, Asmat; Hoogenboom, Gerrit; 2020. Climate change impacts and adaptations for wheat employing multiple climate and crop modelsin Pakistan. Climatic Change, 163253–266. 10.1007/s10584-020-02855-7
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2020 12
Ye, Zi; Qiu, Xiaolei; Chen, Jian; Cammarano, Davide; Ge, Zhonglei; Ruane, Alex C.; Liu, Leilei; Tang, Liang; Cao, Weixing; Liu, Bing; Zhu, Yan; 2020. Impacts of 1.5 °C and 2.0 °C global warming above pre-industrial on potential winter wheat production of China. European Journal of Agronomy, 120126149. 10.1016/j.eja.2020.126149
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2020 63
Mohanty, M.; Sinha, Nishant K.; Somasundaram, J.; McDermid, Sonali S.; Patra, Ashok K.; Singh, Muneshwar; Dwivedi, A.K.; Reddy, K. Sammi; Rao, Ch. Srinivas; Prabhakar, M.; Hati, K.M.; Jha, P.; Singh, R.K.; Chaudhary, R.S.; Kumar, Soora Naresh; Tripathi, Prabhat; Dalal, Ram C.; Gaydon, Donald S.; Chaudhari, S.K.; 2020. Soil carbon sequestration potential in a Vertisol in central India- results from a 43-year long-term experiment and APSIM modeling. Agricultural Systems, 184102906. 10.1016/j.agsy.2020.102906
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2020 46
Elli, Elvis Felipe; Sentelhas, Paulo Cesar; Bender, Fabiani Denise; 2020. Impacts and uncertainties of climate change projections on Eucalyptus plantations productivity across Brazil. Forest Ecology and Management, 474118365. 10.1016/j.foreco.2020.118365
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2020 71
Chimonyo, Vimbayi G. P.; Wimalasiri, Eranga M.; Kunz, Richard; Modi, Albert T.; Mabhaudhi, Tafadzwanashe; 2020. Optimizing Traditional Cropping Systems Under Climate Change: A Case of Maize Landraces and Bambara Groundnut. Frontiers in Sustainable Food Systems, 4562568. 10.3389/fsufs.2020.562568
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2020 19
Peterson, Caitlin A.; Bell, Lindsay W.; Carvalho, Paulo C. de F.; Gaudin, Amélie C. M.; 2020. Resilience of an Integrated Crop–Livestock System to Climate Change: A Simulation Analysis of Cover Crop Grazing in Southern Brazil. Frontiers in Sustainable Food Systems, 4604099. 10.3389/fsufs.2020.604099
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2020 37
Gummadi, Sridhar; Kadiyala, M. D. M.; Rao, K. P. C.; Athanasiadis, Ioannis; Mulwa, Richard; Kilavi, Mary; Legesse, Gizachew; Amede, Tilahun; Shahid, Shamsuddin; 2020. Simulating adaptation strategies to offset potential impacts of climate variability and change on maize yields in Embu County, Kenya. PLOS ONE, 15e0241147. 10.1371/journal.pone.0241147
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2020 21
Fuchs, Kathrin; Merbold, Lutz; Buchmann, Nina; Bellocchi, Gianni; Bindi, Marco; Brilli, Lorenzo; Conant, Richard T.; Dorich, Christopher D.; Ehrhardt, Fiona; Fitton, Nuala; Grace, Peter; Klumpp, Katja; Liebig, Mark; Lieffering, Mark; Martin, Raphaël; McAuliffe, Russell; Newton, Paul C. D.; Rees, Robert M.; Recous, Sylvie; Smith, Pete; Soussana, Jean‐François; Topp, Cairistiona F. E.; 2020. Evaluating the Potential of Legumes to Mitigate N 2 O Emissions From Permanent Grassland Using Process‐Based Models. Global Biogeochemical Cycles, 34e2020GB006561. 10.1029/2020GB006561
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2020 21
Zhang, Meng; Gao, Yanmei; Zhang, Yinghua; Fischer, Tony; Zhao, Zhigan; Zhou, Xiaonan; Wang, Zhimin; Wang, Enli; 2020. The contribution of spike photosynthesis to wheat yield needs to be considered in process-based crop models. Field Crops Research, 257107931. 10.1016/j.fcr.2020.107931
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2020 41
Owusu Danquah, Eric; Beletse, Yacob; Stirzaker, Richard; Smith, Christopher; Yeboah, Stephen; Oteng-Darko, Patricia; Frimpong, Felix; Ennin, Stella Ama; 2020. Monitoring and Modelling Analysis of Maize (Zea mays L.) Yield Gap in Smallholder Farming in Ghana. Agriculture, 10420. 10.3390/agriculture10090420
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2020 14
Zhao, Panpan; Zhou, Yang; Li, Fengfeng; Ling, Xiaoxia; Deng, Nanyan; Peng, Shaobing; Man, Jianguo; 2020. The Adaptability of APSIM-Wheat Model in the Middle and Lower Reaches of the Yangtze River Plain of China: A Case Study of Winter Wheat in Hubei Province. Agronomy, 10981. 10.3390/agronomy10070981
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2020 24
Lungu, Olipa N.; Chabala, Lydia M.; Shepande, Chizumba; 2020. Satellite-Based Crop Monitoring and Yield Estimation—A Review. Journal of Agricultural Science, 13180. 10.5539/jas.v13n1p180
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2020 19
Liu, Ke; Harrison, Matthew Tom; Shabala, Sergey; Meinke, Holger; Ahmed, Ibrahim; Zhang, Yunbo; Tian, Xiaohai; Zhou, Meixue; 2020. The State of the Art in Modeling Waterlogging Impacts on Plants: What Do We Know and What Do We Need to Know. Earth's Future, 8. 10.1029/2020EF001801
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2020 87
Balakrishna, K.; 2020. WSN-Based Information Dissemination for Optimizing Irrigation Through Prescriptive Farming:. International Journal of Agricultural and Environmental Information Systems, 1141–54. 10.4018/IJAEIS.2020100103
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2020 11
Tonapi, Vilas A.; Talwar, Harvinder Singh; Are, Ashok Kumar; Bhat, B. Venkatesh; Reddy, Ch. Ravinder; Dalton, Timothy J.; Kholová, J.; Adam, M.; Diancoumba, M.; Hammer, G.; Hajjarpoor, A.; Chenu, K.; Jarolímek, J.; 2020. Sorghum: General Crop-Modelling Tools Guiding Principles and Use of Crop Models in Support of Crop Improvement Programs in Developing Countries. , 189–207. [9]
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2020 4
Wimalasiri, Eranga M.; Jahanshiri, Ebrahim; Suhairi, Tengku Adhwa Syaherah Tengku Mohd; Udayangani, Hasika; Mapa, Ranjith B.; Karunaratne, Asha S.; Vidhanarachchi, Lal P.; Azam-Ali, Sayed N.; 2020. Basic Soil Data Requirements for Process-Based Crop Models as a Basis for Crop Diversification. Sustainability, 127781. 10.3390/su12187781
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2020 32
Bandara, W. B. M. A. C.; Sakai, Kazuhito; Nakandakari, Tamotsu; Kapetch, Preecha; Rathnappriya, R. H. K.; 2020. A Gaussian-Process-Based Global Sensitivity Analysis of Cultivar Trait Parameters in APSIM-Sugar Model: Special Reference to Environmental and Management Conditions in Thailand. Agronomy, 10984. 10.3390/agronomy10070984
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2020 6
Dayal, Kavina; Brown, Jaclyn N.; Waldner, François; Lawes, Roger; Hochman, Zvi; Donohue, Randall; Horan, Heidi; Chen, Yang; 2020. Climate drivers provide valuable insights into late season prediction of Australian wheat yield. Agricultural and Forest Meteorology, 295108202. 10.1016/j.agrformet.2020.108202
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2020 2
Beah, Aloysius; Kamara, Alpha Y.; Jibrin, Jibrin M.; Akinseye, Folorunso M.; Tofa, Abdullahi I.; Adam, Adam. M.; 2020. Simulating the Response of Drought–Tolerant Maize Varieties to Nitrogen Application in Contrasting Environments in the Nigeria Savannas Using the APSIM Model. Agronomy, 1176. 10.3390/agronomy11010076
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2020 11
Bosi, Cristiam; Sentelhas, Paulo Cesar; Huth, Neil Ian; Pezzopane, José Ricardo Macedo; Andreucci, Mariana Pares; Santos, Patricia Menezes; 2020. APSIM-Tropical Pasture: A model for simulating perennial tropical grass growth and its parameterisation for palisade grass (Brachiaria brizantha). Agricultural Systems, 184102917. 10.1016/j.agsy.2020.102917
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2020 31
Morvan, Thierry; Lemoine, Charlotte; Gaillard, Florian; Hamelin, Gaelle; Trinkler, Béatrice; Carteaux, Laurence; Petitjean, Patrice; Jaffrezic, Anne; 2020. A comprehensive dataset on nitrate, Nitrite and dissolved organic carbon leaching losses from a 4-year Lysimeter study. Data in Brief, 32106029. 10.1016/j.dib.2020.106029
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2020 6
Kwesiga, Julius; Grotelüschen, Kristina; Senthilkumar, Kalimuthu; Neuhoff, Daniel; Döring, Thomas F.; Becker, Mathias; 2020. Rice Yield Gaps in Smallholder Systems of the Kilombero Floodplain in Tanzania. Agronomy, 101135. 10.3390/agronomy10081135
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2020 21
Adam, Myriam; MacCarthy, Dilys Sefakor; Traoré, Pierre C. Sibiry; Nenkam, Andree; Freduah, Bright Salah; Ly, Mouhamed; Adiku, Samuel G.K.; 2020. Which is more important to sorghum production systems in the Sudano-Sahelian zone of West Africa: Climate change or improved management practices?. Agricultural Systems, 185102920. 10.1016/j.agsy.2020.102920
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2020 35
Saddique, Qaisar; Zou, Yufeng; Ajaz, Ali; Ji, Jianmei; Xu, Jiatun; Azmat, Muhammad; Rahman, Muhammad Habib ur; He, Jianqiang; Cai, Huanjie; 2020. Analyzing the Performance and Application of CERES-Wheat and APSIM in the Guanzhong Plain, China. Transactions of the ASABE, 631879–1893. 10.13031/trans.13631
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2020 6
Dilla, Aynalem M.; Smethurst, Philip J.; Huth, Neil I.; Barry, Karen M.; 2020. Plot-Scale Agroforestry Modeling Explores Tree Pruning and Fertilizer Interactions for Maize Production in a Faidherbia Parkland. Forests, 111175. 10.3390/f11111175
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2020 14
MacPherson, Joseph; Paul, Carsten; Helming, Katharina; 2020. Linking Ecosystem Services and the SDGs to Farm-Level Assessment Tools and Models. Sustainability, 126617. 10.3390/su12166617
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2020 12
Nurulhuda, Khairudin; Zakaria, Mohamad Pauzi; Struik, Paul C.; Keesman, Karel J.; 2020. Equifinality in the modelling of ammonia volatilisation from a flooded rice system. Environmental Modelling & Software, 133104752. 10.1016/j.envsoft.2020.104752
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2020 4
Ahmed, Mukhtar; Mehmood, Muhammad Zeeshan; Afzal, Obaid; Aslam, Muhammad Aqeel; Riaz, Hasan; Raza, Muhammad Ali; Ahmed, Shakeel; Qadir, Ghulam; Ahmad, Mukhtar; Shaheen, Farid Asif; Shah, Zahid Hussain; 2020. Disease Modeling as a Tool to Assess the Impacts of Climate Variability on Plant Diseases and Health. , 327–351. [10]
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2020 4
Dutta, S. K; Laing, Alison M.; Kumar, S.; Gathala, Mahesh K.; Singh, Ajoy K.; Gaydon, D.S.; Poulton, P.; 2020. Improved water management practices improve cropping system profitability and smallholder farmers’ incomes. Agricultural Water Management, 242106411. 10.1016/j.agwat.2020.106411
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2020 21
Manschadi, A. M.; Eitzinger, J.; Breisch, M.; Fuchs, W.; Neubauer, T.; Soltani, A.; 2020. Full Parameterisation Matters for the Best Performance of Crop Models: Inter-comparison of a Simple and a Detailed Maize Model. International Journal of Plant Production, . 10.1007/s42106-020-00116-2
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2020 25
Maitra, Sagar; Sarkar, Sukamal ,; 2020. Application of APSIM Model for Assessing the Complexities of Rice-based Cropping Systems of South-Asia. , . [11]
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2020 5
Pembleton, K. G.; Cullen, B. R.; Rawnsley, R. P.; Ramilan, T.; 2020. Climate change effects on pasture-based dairy systems in south-eastern Australia. Crop and Pasture Science, . 10.1071/CP20108
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2020 14
Hosang, Evert Y.; Wish, Jeremy P W; 2020. Growth and development models for West Timor maize landraces. IOP Conference Series: Earth and Environmental Science, 484012124. 10.1088/1755-1315/484/1/012124
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2020 0
Bartel, C. A.; Archontoulis, S. V.; Lenssen, A. W.; Moore, K. J.; Huber, I. L.; Laird, D. A.; Dixon, P. M.; 2020. Modeling perennial groundcover effects on annual maize grain crop growth with the Agricultural Production Systems sIMulator. Agronomy Journal, 1121895–1910. 10.1002/agj2.20108
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2020 18
Kadigi, Ibrahim L.; Richardson, James W.; Mutabazi, Khamaldin D.; Philip, Damas; Mourice, Sixbert K.; Mbungu, Winfred; Bizimana, Jean-Claude; Sieber, Stefan; 2020. The effect of nitrogen-fertilizer and optimal plant population on the profitability of maize plots in the Wami River sub-basin, Tanzania: A bio-economic simulation approach. Agricultural Systems, 185102948. 10.1016/j.agsy.2020.102948
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2020 17
Duarte, Yury C. N.; Sentelhas, Paulo C.; 2020. Intercomparison and Performance of Maize Crop Models and Their Ensemble for Yield Simulations in Brazil. International Journal of Plant Production, 14127–139. 10.1007/s42106-019-00073-5
closed
2020 1
عزیزی, خسرو; رحیمی مقدم, سجاد; 2020. Simulating the risk of heat stress on grain maize production under arid and semi-arid conditions. Environmental Sciences, 1885–105. 10.29252/envs.18.3.85
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2020 0
Yin, Xiaogang; Kersebaum, Kurt-Christian; Beaudoin, Nicolas; Constantin, Julie; Chen, Fu; Louarn, Gaëtan; Manevski, Kiril; Hoffmann, Munir; Kollas, Chris; Armas-Herrera, Cecilia M.; Baby, Sanmohan; Bindi, Marco; Dibari, Camilla; Ferchaud, Fabien; Ferrise, Roberto; de Cortazar-Atauri, Inaki Garcia; Launay, Marie; Mary, Bruno; Moriondo, Marco; Öztürk, Isik; Ruget, Françoise; Sharif, Behzad; Wachter-Ripoche, Dominique; Olesen, Jørgen E.; 2020. Uncertainties in simulating N uptake, net N mineralization, soil mineral N and N leaching in European crop rotations using process-based models. Field Crops Research, 255107863. 10.1016/j.fcr.2020.107863
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2020 38
Vogeler, Iris; Hansen, Elly Møller; Nielsen, Svend; Labouriau, Rodrigo; Cichota, Rogerio; Olesen, Jørgen E.; Thomsen, Ingrid Kaag; 2020. Nitrate leaching from suction cup data: Influence of method of drainage calculation and concentration interpolation. Journal of Environmental Quality, 49440–449. 10.1002/jeq2.20020
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2020 25
Saddique, Qaisar; Liu, De Li; Wang, Bin; Feng, Puyu; He, Jianqiang; Ajaz, Ali; Ji, Jianmei; Xu, Jiatun; Zhang, Chao; Cai, Huanjie; 2020. Modelling future climate change impacts on winter wheat yield and water use: A case study in Guanzhong Plain, northwestern China. European Journal of Agronomy, 119126113. 10.1016/j.eja.2020.126113
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2020 57
Sidhu, Ravneet Kaur; Kumar, Ravinder; Rana, Prashant Singh; 2020. Long short-term memory neural network-based multi-level model for smart irrigation. Modern Physics Letters B, 342050418. 10.1142/S0217984920504187
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2020 11
Rotili, Diego Hernán; de Voil, Peter; Eyre, Joseph; Serafin, Loretta; Aisthorpe, Darren; Maddonni, Gustavo Ángel; Rodríguez, Daniel; 2020. Untangling genotype x management interactions in multi-environment on-farm experimentation. Field Crops Research, 255107900. 10.1016/j.fcr.2020.107900
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2020 32
Saddique, Qaisar; Cai, Huanjie; Xu, Jiatun; Ajaz, Ali; He, Jianqiang; Yu, Qiang; Wang, Yunfei; Chen, Hui; Khan, Muhammad Imran; Liu, De Li; He, Liang; 2020. Analyzing adaptation strategies for maize production under future climate change in Guanzhong Plain, China. Mitigation and Adaptation Strategies for Global Change, 251523–1543. 10.1007/s11027-020-09935-0
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2020 39
YUXI ZHANG; 2020. Towards improved crop growth and yield estimation: observation constrained wheat modelling. , 43807883 Bytes. 10.26180/13151318.V1
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2020 1
Santos, Marshall Victor Chagas; Carvalho, André Luiz de; Souza, José Leonaldo de; Silva, Mauricio Bruno Prado da; Medeiros, Rui Palmeira; Junior, Ricardo Araújo Ferreira; Lyra, Gustavo Bastos; Teodoro, Iêdo; Lyra, Guilherme Bastos; Lemes, Marco Antonio Maringolo; 2020. A modelling assessment of the maize crop growth, yield and soil water dynamics in the Northeast of Brazil. Australian Journal of Crop Science, 897–904. 10.21475/ajcs.20.14.06.p1410
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2020 5
Dodd, Mike B.; Tozer, Katherine N.; Vogeler, Iris; Greenfield, Rose; Stevens, David R.; Rhodes, Tim; Quilter, Sue; 2020. Quantifying the value proposition for white clover persistence on a New Zealand summer-dry hill-country farm. Journal of New Zealand Grasslands, 82199–209. 10.33584/jnzg.2020.82.2973
other-oa · publishedVersion
2020 3
Elli, Elvis Felipe; Huth, Neil; Sentelhas, Paulo Cesar; Carneiro, Rafaela Lorenzato; Alvares, Clayton Alcarde; Messina, Carlos D; Long, Stephen P; 2020. Global sensitivity-based modelling approach to identify suitable Eucalyptus traits for adaptation to climate variability and change. in silico Plants, 2diaa003. 10.1093/insilicoplants/diaa003
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2020 14
Huang, Mingxia; Wang, Jing; Wang, Bin; Liu, De Li; Yu, Qiang; He, Di; Wang, Na; Pan, Xuebiao; 2020. Optimizing sowing window and cultivar choice can boost China’s maize yield under 1.5 °C and 2 °C global warming. Environmental Research Letters, 15024015. 10.1088/1748-9326/ab66ca
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2020 61
Archontoulis, Sotirios V.; Castellano, Michael J.; Licht, Mark A.; Nichols, Virginia; Baum, Mitch; Huber, Isaiah; Martinez‐Feria, Rafael; Puntel, Laila; Ordóñez, Raziel A.; Iqbal, Javed; Wright, Emily E.; Dietzel, Ranae N.; Helmers, Matt; Vanloocke, Andy; Liebman, Matt; Hatfield, Jerry L.; Herzmann, Daryl; Córdova, S. Carolina; Edmonds, Patrick; Togliatti, Kaitlin; Kessler, Ashlyn; Danalatos, Gerasimos; Pasley, Heather; Pederson, Carl; Lamkey, Kendall R.; 2020. Predicting crop yields and soil‐plant nitrogen dynamics in the US Corn Belt. Crop Science, 60721–738. 10.1002/csc2.20039
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2020 136
Ahmed, Mukhtar; Dias, Henrique Boriolo; Inman-Bamber, Geoff; 2020. Sugarcane: Contribution of Process-Based Models for Understanding and Mitigating Impacts of Climate Variability and Change on Production. , 217–260. [12]
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2020 9
He, Di; Oliver, Yvette; Wang, Enli; 2020. Predicting plant available water holding capacity of soils from crop yield. Plant and Soil, . 10.1007/s11104-020-04757-0
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2020 16
Baum, Mitch E.; Licht, Mark A.; Huber, Isaiah; Archontoulis, Sotirios V.; 2020. Impacts of climate change on the optimum planting date of different maize cultivars in the central US Corn Belt. European Journal of Agronomy, 119126101. 10.1016/j.eja.2020.126101
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2020 89
Tang, Jianzhao; Xiao, Dengpan; Bai, Huizi; Wang, Bin; Liu, De Li; Feng, Puyu; Zhang, Yuan; Zhang, Jun; 2020. Potential Benefits of Potato Yield at Two Sites of Agro-Pastoral Ecotone in North China Under Future Climate Change. International Journal of Plant Production, 14401–414. 10.1007/s42106-020-00092-7
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2020 1
Mwambo, Francis Molua; Fürst, Christine; Nyarko, Benjamin K.; Borgemeister, Christian; Martius, Christopher; 2020. Maize production and environmental costs: Resource evaluation and strategic land use planning for food security in northern Ghana by means of coupled emergy and data envelopment analysis. Land Use Policy, 95104490. 10.1016/j.landusepol.2020.104490
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2020 37
Wang, Yaxu; Lv, Juan; Wang, Yicheng; Sun, Hongquan; Hannaford, Jamie; Su, Zhicheng; Barker, Lucy J.; Qu, Yanping; 2020. Drought risk assessment of spring maize based on APSIM crop model in Liaoning province, China. International Journal of Disaster Risk Reduction, 45101483. 10.1016/j.ijdrr.2020.101483
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2020 33
Akinseye, Folorunso M.; Ajegbe, Hakeem A.; Kamara, Alpha Y.; Adefisan, Elijah A.; Whitbread, Anthony M.; 2020. Understanding the response of sorghum cultivars to nitrogen applications in the semi-arid Nigeria using the agricultural production systems simulator. Journal of Plant Nutrition, 43834–850. 10.1080/01904167.2020.1711943
closed
2020 15
Touch, Van; Liu, De Li; Martin, Robert John; Scott, Jeannette Fiona; Cowie, Annette; Tan, Daniel K. Y.; 2020. Building Farming Resilience to Climate Change: Upland Crop Production in Northwest Cambodia. Proceedings, 36157. 10.3390/proceedings2019036157
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2020 1
Badgery, Warwick B.; Mwendwa, James M.; Anwar, Muhuddin Rajin; Simmons, Aaron T.; Broadfoot, Kim M.; Rohan, Maheswaran; Singh, Bhupinder Pal; 2020. Unexpected increases in soil carbon eventually fell in low rainfall farming systems. Journal of Environmental Management, 261110192. 10.1016/j.jenvman.2020.110192
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2020 14
Bai, Huiqing; Wang, Jing; Fang, Quanxiao; Huang, Binxiang; 2020. Does a trade-off between yield and efficiency reduce water and nitrogen inputs of winter wheat in the North China Plain?. Agricultural Water Management, 233106095. 10.1016/j.agwat.2020.106095
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2020 24
Yang, Xuan; Li, Zhou; Cui, Song; Cao, Quan; Deng, Jianqiang; Lai, Xingfa; Shen, Yuying; 2020. Cropping system productivity and evapotranspiration in the semiarid Loess Plateau of China under future temperature and precipitation changes: An APSIM-based analysis of rotational vs. continuous systems. Agricultural Water Management, 229105959. 10.1016/j.agwat.2019.105959
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2020 35
Zhao, Junfang; Kong, Xiangna; He, Kejun; Xu, Hui; Mu, Jia; 2020. Assessment of the radiation effect of aerosols on maize production in China. Science of The Total Environment, 720137567. 10.1016/j.scitotenv.2020.137567
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2020 20
Zeleke, Ketema Tilahun; 2020. Evaluating Dry Matter Production and Grain Yield of Dual-Purpose Winter Wheat Using Field Experiment and Modelling. Agronomy, 10338. 10.3390/agronomy10030338
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2020 4
Shabbir, Ghulam; Khaliq, Tasneem; Ahmad, Ashfaq; Saqib, Muhammad; 2020. Assessing the climate change impacts and adaptation strategies for rice production in Punjab, Pakistan. Environmental Science and Pollution Research, . 10.1007/s11356-020-08846-6
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2020 25
Liu, Ke; Harrison, Matthew Tom; Hunt, James; Angessa, Tefera Tolera; Meinke, Holger; Li, Chengdao; Tian, Xiaohai; Zhou, Meixue; 2020. Identifying optimal sowing and flowering periods for barley in Australia: a modelling approach. Agricultural and Forest Meteorology, 282107871. 10.1016/j.agrformet.2019.107871
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2020 60
Khan, Muhammad Aamir; Tahir, Alishba; Khurshid, Nabila; Husnain, Muhammad Iftikhar ul; Ahmed, Mukhtar; Boughanmi, Houcine; 2020. Economic Effects of Climate Change-Induced Loss of Agricultural Production by 2050: A Case Study of Pakistan. Sustainability, 121216. 10.3390/su12031216
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2020 98
Akinseye, Folorunso M.; Ajeigbe, Hakeem A.; Traore, Pierre C.S.; Agele, Samuel O.; Zemadim, Birhanu; Whitbread, Anthony; 2020. Improving sorghum productivity under changing climatic conditions: A modelling approach. Field Crops Research, 246107685. 10.1016/j.fcr.2019.107685
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2020 47
Smith, C. J.; Macdonald, B. C. T.; Xing, H.; Denmead, O. T.; Wang, E.; McLachlan, G.; Tuomi, S.; Turner, D.; Chen, D.; 2020. Measurements and APSIM modelling of soil C and N dynamics. Soil Research, 5841. 10.1071/SR19021
closed
2020 27
Anser, Muhammad Khalid; Hina, Tayyaba; Hameed, Shahzad; Nasir, Muhammad Hamid; Ahmad, Ishfaq; Naseer, Muhammad Asad ur Rehman; 2020. Modeling Adaptation Strategies against Climate Change Impacts in Integrated Rice-Wheat Agricultural Production System of Pakistan. International Journal of Environmental Research and Public Health, 172522. 10.3390/ijerph17072522
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2020 38
Fletcher, Andrew L.; Chen, Chao; Ota, Noboru; Lawes, Roger A.; Oliver, Yvette M.; 2020. Has historic climate change affected the spatial distribution of water-limited wheat yield across Western Australia?. Climatic Change, 159347–364. 10.1007/s10584-020-02666-w
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2020 28
Giltrap, Donna; Yeluripati, Jagadeesh; Smith, Pete; Fitton, Nuala; Smith, Ward; Grant, Brian; Dorich, Christopher D.; Deng, Jia; Topp, Cairistiona FE; Abdalla, Mohamed; Liáng, Lìyǐn L.; Snow, Val; 2020. Global Research Alliance N 2 O chamber methodology guidelines: Summary of modeling approaches. Journal of Environmental Quality, 491168–1185. 10.1002/jeq2.20119
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2020 24
Meier, Elizabeth; Lilley, Julianne; Kirkegaard, John; Whish, Jeremy; McBeath, Therese; 2020. Management practices that maximise gross margins in Australian canola (Brassica napus L.). Field Crops Research, 252107803. 10.1016/j.fcr.2020.107803
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2020 21
Araya, A.; Prasad, P. V. V.; Gowda, P. H.; Djanaguiraman, M.; Kassa, A. H.; 2020. Potential impacts of climate change factors and agronomic adaptation strategies on wheat yields in central highlands of Ethiopia. Climatic Change, 159461–479. 10.1007/s10584-019-02627-y
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2020 28
Meier, Elizabeth A.; Thorburn, Peter J.; Bell, Lindsay W.; Harrison, Matthew T.; Biggs, Jody S.; 2020. Greenhouse Gas Emissions From Cropping and Grazed Pastures Are Similar: A Simulation Analysis in Australia. Frontiers in Sustainable Food Systems, 3121. 10.3389/fsufs.2019.00121
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2020 31
Xiao, Dengpan; Liu, De Li; Wang, Bin; Feng, Puyu; Bai, Huizi; Tang, Jianzhao; 2020. Climate change impact on yields and water use of wheat and maize in the North China Plain under future climate change scenarios. Agricultural Water Management, 238106238. 10.1016/j.agwat.2020.106238
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2020 195
Duarte, Yury C. N.; Sentelhas, Paulo C.; 2020. Intercomparison and Performance of Maize Crop Models and Their Ensemble for Yield Simulations in Brazil. International Journal of Plant Production, 14127–139. 10.1007/s42106-019-00073-5
closed
2020 16
Xiao, Dengpan; Liu, De Li; Wang, Bin; Feng, Puyu; Waters, Cathy; 2020. Designing high-yielding maize ideotypes to adapt changing climate in the North China Plain. Agricultural Systems, 181102805. 10.1016/j.agsy.2020.102805
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2020 77
Pasley, Heather R.; Huber, Isaiah; Castellano, Michael J.; Archontoulis, Sotirios V.; 2020. Modeling Flood-Induced Stress in Soybeans. Frontiers in Plant Science, 1162. 10.3389/fpls.2020.00062
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2020 57
Ababaei, Behnam; Chenu, Karine; 2020. Heat shocks increasingly impede grain filling but have little effect on grain setting across the Australian wheatbelt. Agricultural and Forest Meteorology, 284107889. 10.1016/j.agrformet.2019.107889
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2020 63
Elli, Elvis Felipe; Sentelhas, Paulo Cesar; Huth, Neil; Carneiro, Rafaela Lorenzato; Alvares, Clayton Alcarde; 2020. Gauging the effects of climate variability on Eucalyptus plantations productivity across Brazil: A process-based modelling approach. Ecological Indicators, 114106325. 10.1016/j.ecolind.2020.106325
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2020 30
Anwar, Muhuddin Rajin; Wang, Bin; Liu, De Li; Waters, Cathy; 2020. Late planting has great potential to mitigate the effects of future climate change on Australian rain-fed cotton. Science of The Total Environment, 714136806. 10.1016/j.scitotenv.2020.136806
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2020 30
Smethurst, Philip J.; Valadares, Rafael V.; Huth, Neil I.; Almeida, Auro C.; Elli, Elvis F.; Neves, Júlio C.L.; 2020. Generalized model for plantation production of Eucalyptus grandis and hybrids for genotype-site-management applications. Forest Ecology and Management, 469118164. 10.1016/j.foreco.2020.118164
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2020 20
Dias, Henrique Boriolo; Inman-Bamber, Geoff; Everingham, Yvette; Sentelhas, Paulo Cesar; Bermejo, Rodrigo; Christodoulou, Diomedes; 2020. Traits for canopy development and light interception by twenty-seven Brazilian sugarcane varieties. Field Crops Research, 249107716. 10.1016/j.fcr.2020.107716
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2020 22
de Souza Nóia Júnior, Rogério; Sentelhas, Paulo Cesar; 2020. Yield gap of the double-crop system of main-season soybean with off-season maize in Brazil. Crop and Pasture Science, 71445. 10.1071/CP19372
closed
2020 15
Elli, Elvis Felipe; Huth, Neil; Sentelhas, Paulo Cesar; Carneiro, Rafaela Lorenzato; Alvares, Clayton Alcarde; 2020. Ability of the APSIM Next Generation Eucalyptus model to simulate complex traits across contrasting environments. Ecological Modelling, 419108959. 10.1016/j.ecolmodel.2020.108959
cc-by-nc-nd · publishedVersion
2020 10
Cann, David J.; Hunt, James R.; Malcolm, Bill; 2020. Long fallows can maintain whole-farm profit and reduce risk in semi-arid south-eastern Australia. Agricultural Systems, 178102721. 10.1016/j.agsy.2019.102721
closed
2020 36
Peng, Ting; Fu, Jingying; Jiang, Dong; Du, Jinshuang; 2020. Simulation of the Growth Potential of Sugarcane as an Energy Crop Based on the APSIM Model. Energies, 132173. 10.3390/en13092173
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2020 13
Gunarathna, M. H. J. P.; Sakai, Kazuhito; Kumari, M. K. N.; Ranagalage, Manjula; 2020. A Functional Analysis of Pedotransfer Functions Developed for Sri Lankan soils: Applicability for Process-Based Crop Models. Agronomy, 10285. 10.3390/agronomy10020285
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2020 5
Hoffmann, M.P.; Swanepoel, C.M.; Nelson, W.C.D.; Beukes, D.J.; van der Laan, M.; Hargreaves, J.N.G.; Rötter, R.P.; 2020. Simulating medium-term effects of cropping system diversification on soil fertility and crop productivity in southern Africa. European Journal of Agronomy, 126089. 10.1016/j.eja.2020.126089
cc-by · submittedVersion
2020 28
Gomes, Fagner Junior; Bosi, Cristiam; Pedreira, Bruno Carneiro; Santos, Patrícia Menezes; Pedreira, Carlos Guilherme Silveira; 2020. Parameterization of the APSIM model for simulating palisadegrass growth under continuous stocking in monoculture and in a silvopastoral system. Agricultural Systems, 184102876. 10.1016/j.agsy.2020.102876
other-oa · publishedVersion
2020 18
Chauhan, Yashvir S.; Ryan, Merrill; 2020. Frost Risk Management in Chickpea Using a Modelling Approach. Agronomy, 10460. 10.3390/agronomy10040460
cc-by · publishedVersion
2020 7
Tang, Jianzhao; Xiao, Dengpan; Bai, Huizi; Wang, Bin; Liu, De Li; Feng, Puyu; Zhang, Yuan; Zhang, Jun; 2020. Potential Benefits of Potato Yield at Two Sites of Agro-Pastoral Ecotone in North China Under Future Climate Change. International Journal of Plant Production, . 10.1007/s42106-020-00092-7
closed
2020 13
Schepen, Andrew; Everingham, Yvette; Wang, Quan J.; 2020. An improved workflow for calibration and downscaling of GCM climate forecasts for agricultural applications – A case study on prediction of sugarcane yield in Australia. Agricultural and Forest Meteorology, 291107991. 10.1016/j.agrformet.2020.107991
closed
2020 13
Zhao, Junfang; Kong, Xiangna; Xu, Hui; Zhang, Yanhong; Jiang, Yueqing; 2020. Assessment of biomass and yield loss of maize caused by aerosols in heavily polluted agricultural areas of China based on APSIM model. Physics and Chemistry of the Earth, Parts A/B/C, 115102835. 10.1016/j.pce.2019.102835
closed
2020 9
Osman, R.; Zhu, Y.; Ma, W.; Zhang, D.; Ding, Z.; Liu, L.; Tang, L.; Liu, B.; Cao, W.; 2020. Comparison of wheat simulation models for impacts of extreme temperature stress on grain quality. Agricultural and Forest Meteorology, 288107995. 10.1016/j.agrformet.2020.107995
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2020 51
Morel, J.; Parsons, D.; Halling, M.A.; Kumar, U.; Peake, A.; Bergkvist, G.; Brown, H.; Hetta, M.; 2020. Challenges for Simulating Growth and Phenology of Silage Maize in a Nordic Climate with APSIM. Agronomy, 10645. 10.3390/agronomy10050645
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2020 24
Kawakita, Satoshi; Takahashi, Hidehiro; Moriya, Kazuyuki; 2020. Prediction and parameter uncertainty for winter wheat phenology models depend on model and parameterization method differences. Agricultural and Forest Meteorology, 290107998. 10.1016/j.agrformet.2020.107998
cc-by-nc-nd · submittedVersion
2020 20
Tenreiro, Tomás R.; García-Vila, Margarita; Gómez, José A.; Jimenez-Berni, José A.; Fereres, Elías; 2020. Water modelling approaches and opportunities to simulate spatial water variations at crop field level. Agricultural Water Management, 240106254. 10.1016/j.agwat.2020.106254
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2020 30
Bogard, Matthieu; Biddulph, Ben; Zheng, Bangyou; Hayden, Matthew; Kuchel, Haydn; Mullan, Dan; Allard, Vincent; Gouis, Jacques Le; Chapman, Scott C.; 2020. Linking genetic maps and simulation to optimize breeding for wheat flowering time in current and future climates. Crop Science, 60678–699. 10.1002/csc2.20113
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2020 24
Sarkar, Sukamal; Gaydon, Donald S; Brahmachari, Koushik; Nanda, Manoj Kumar; Ghosh, Argha; Mainuddin, Mohammed; 2020. Modelling Yield and Seasonal Soil Salinity Dynamics in Rice-Grasspea Cropping System for the Coastal Saline Zone of West Bengal, India. Proceedings, 36146. 10.3390/proceedings2019036146
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2020 2
Fuchs, Kathrin; Merbold, Lutz; Buchmann, Nina; Bretscher, Daniel; Brilli, Lorenzo; Fitton, Nuala; Topp, Cairistiona F. E.; Klumpp, Katja; Lieffering, Mark; Martin, Raphaël; Newton, Paul C. D.; Rees, Robert M.; Rolinski, Susanne; Smith, Pete; Snow, Val; 2020. Multimodel Evaluation of Nitrous Oxide Emissions From an Intensively Managed Grassland. Journal of Geophysical Research: Biogeosciences, 125. 10.1029/2019JG005261
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2020 38
Kadigi, Ibrahim L.; Richardson, James W.; Mutabazi, Khamaldin D.; Philip, Damas; Mourice, Sixbert K.; Mbungu, Winfred; Bizimana, Jean-Claude; Sieber, Stefan; 2020. The effect of nitrogen-fertilizer and optimal plant population on the profitability of maize plots in the Wami River sub-basin, Tanzania: A bio-economic simulation approach. Agricultural Systems, 185102948. 10.1016/j.agsy.2020.102948
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2020 17
Wang, Bin; Feng, Puyu; Liu, De Li; Waters, Cathy; 2020. Modelling biophysical vulnerability of wheat to future climate change: A case study in the eastern Australian wheat belt. Ecological Indicators, 114106290. 10.1016/j.ecolind.2020.106290
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2020 9
Zhao, Jin; Yang, Xiaoguang; Liu, Zhijuan; Pullens, Johannes W.M.; Chen, Ji; Marek, Gary W.; Chen, Yong; Lv, Shuo; Sun, Shuang; 2020. Greater maize yield improvements in low/unstable yield zones through recommended nutrient and water inputs in the main cropping regions, China. Agricultural Water Management, 232106018. 10.1016/j.agwat.2020.106018
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2020 17
Yan, Zongzheng; Zhang, Xiying; Rashid, Muhammad Adil; Li, Hongjun; Jing, Haichun; Hochman, Zvi; 2020. Assessment of the sustainability of different cropping systems under three irrigation strategies in the North China Plain under climate change. Agricultural Systems, 178102745. 10.1016/j.agsy.2019.102745
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2020 59
Feng, Puyu; Wang, Bin; Liu, De Li; Waters, Cathy; Xiao, Dengpan; Shi, Lijie; Yu, Qiang; 2020. Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique. Agricultural and Forest Meteorology, 285107922. 10.1016/j.agrformet.2020.107922
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Xin, Yue; Tao, Fulu; 2020. Developing climate-smart agricultural systems in the North China Plain. Agriculture, Ecosystems & Environment, 291106791. 10.1016/j.agee.2019.106791
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2020 60
Shelia, Vakhtang; Hansen, James; Sharda, Vaishali; Porter, Cheryl; Aggarwal, Pramod; Wilkerson, Carol J.; Hoogenboom, Gerrit; 2019. A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. Environmental Modelling & Software, 115144–154. 10.1016/j.envsoft.2019.02.006
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2019 56
Xin, Yue; Tao, Fulu; 2019. Optimizing genotype-environment-management interactions to enhance productivity and eco-efficiency for wheat-maize rotation in the North China Plain. Science of The Total Environment, 654480–492. 10.1016/j.scitotenv.2018.11.126
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2019 44
Sun, Hongyong; Zhang, Xiying; Liu, Xiujing; Liu, Xiuwei; Shao, Liwei; Chen, Suying; Wang, Jintao; Dong, Xinliang; 2019. Impact of different cropping systems and irrigation schedules on evapotranspiration, grain yield and groundwater level in the North China Plain. Agricultural Water Management, 211202–209. 10.1016/j.agwat.2018.09.046
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2019 93
Feng, Puyu; Wang, Bin; Liu, De Li; Waters, Cathy; Yu, Qiang; 2019. Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia. Agricultural and Forest Meteorology, 275100–113. 10.1016/j.agrformet.2019.05.018
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2019 205
Tang, Jianzhao; Wang, Jing; Fang, Quanxiao; Dayananda, Buddhi; Yu, Qiang; Zhao, Peiyi; Yin, Hong; Pan, Xuebiao; 2019. Identifying agronomic options for better potato production and conserving water resources in the agro-pastoral ecotone in North China. Agricultural and Forest Meteorology, 27291–101. 10.1016/j.agrformet.2019.04.001
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2019 30
Bai, Huizi; Xiao, Dengpan; Zhang, He; Tao, Fulu; Hu, Yuhun; 2019. Impact of warming climate, sowing date, and cultivar shift on rice phenology across China during 1981–2010. International Journal of Biometeorology, 631077–1089. 10.1007/s00484-019-01723-z
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2019 31
Zhang, Yue; Zhang, Lizhen; Yang, Ning; Huth, Neil; Wang, Enli; van der Werf, Wopke; Evers, Jochem B.; Wang, Qi; Zhang, Dongsheng; Wang, Ruonan; Gao, Hui; Anten, Niels P.R.; 2019. Optimized sowing time windows mitigate climate risks for oats production under cool semi-arid growing conditions. Agricultural and Forest Meteorology, 266184–197. 10.1016/j.agrformet.2018.12.019
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2019 19
Sun, Shuang; Yang, Xiaoguang; Lin, Xiaomao; Zhao, Jin; Liu, Zhijuan; Zhang, Tianyi; Xie, Wenjuan; 2019. Seasonal variability in potential and actual yields of winter wheat in China. Field Crops Research, 2401–11. 10.1016/j.fcr.2019.05.016
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2019 21
Fitton, Nuala; Bindi, Marco; Brilli, Lorenzo; Cichota, Rogerio; Dibari, Camila; Fuchs, Kathrin; Huguenin-Elie, Olivier; Klumpp, Katja; Lieffering, Mark; Lüscher, Andreas; Martin, Raphael; McAuliffe, Russel; Merbold, Lutz; Newton, Paul; Rees, Robert M.; Smith, Pete; Topp, Cairistiona F.E.; Snow, Valerie; 2019. Modelling biological N fixation and grass-legume dynamics with process-based biogeochemical models of varying complexity. European Journal of Agronomy, 10658–66. 10.1016/j.eja.2019.03.008
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2019 18
Yang, Xiaoya; Li, Jun; Yu, Qiang; Ma, Yuchun; Tong, Xiaojuan; Feng, Yan; Tong, Yingxiang; 2019. Impacts of diffuse radiation fraction on light use efficiency and gross primary production of winter wheat in the North China Plain. Agricultural and Forest Meteorology, 275233–242. 10.1016/j.agrformet.2019.05.028
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2019 41
Bai, Huiqing; Wang, Jing; Fang, Quanxiao; Yin, Hong; 2019. Modeling the sensitivity of wheat yield and yield gap to temperature change with two contrasting methods in the North China Plain. Climatic Change, 156589–607. 10.1007/s10584-019-02526-2
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2019 9
Reading, L. P.; Bajracharya, K.; Wang, J.; 2019. Simulating deep drainage and nitrate leaching on a regional scale: implications for groundwater management in an intensively irrigated area. Irrigation Science, 37561–581. 10.1007/s00271-019-00636-4
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2019 23
Cavalli, Daniele; Bellocchi, Gianni; Corti, Martina; Marino Gallina, Pietro; Bechini, Luca; 2019. Sensitivity analysis of C and N modules in biogeochemical crop and grassland models following manure addition to soil. European Journal of Soil Science, ejss.12793. 10.1111/ejss.12793
other-oa · submittedVersion
2019 9
LIU Jingping, 刘静萍; XU Xibao, 徐昔保; 2019. Simulating the effects of different management modes on the ecosystem services of agroecosystems: a case study of the Taihu Lake Basin, China. Acta Ecologica Sinica, 39. 10.5846/stxb201809272092
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2019 1
Snow, V.O.; Cichota, R.; McAuliffe, R.J.; Dynes, R.A.; Vogeler, I.; Ledgard, S.F.; Shepherd, M.A.; 2019. What is "sufficient" complexity when modelling urine patches in grazed pastures?. 22nd International Congress on Modelling and Simulation, . 10.36334/modsim.2017.Keynote.snow
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2019 0
Hasan, Mk; Akhter, S; Chowdhury, Mah; Chaki, Ak; Chawdhery, Mra; Zahan, T; 2019. Prediction of changing climatic effect and risk management by using simulation approaches for rice-wheat system in Bangladesh. Bangladesh Journal of Agricultural Research, 44311–326. 10.3329/bjar.v44i2.41820
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2019 0
Darai, Rajendra; Babu Thapa Magar, Dinesh; Subash, Natraj; Baigorria, Guillermo; 2019. Crop Model Simulation Slants for Predicting and Managing the Climate Risks in Poor Rainfed Rice-Wheat Eco-System of Mid-Western Nepal: Application of APSIM, DSSAT Model and Trade off Economic Analysis. Acta Scientific Agriculture, 3196–210. 10.31080/ASAG.2019.03.0633
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2019 0
زینلی مبارکه, زهرا; دیهیم فرد, رضا; کامبوزیا, جعفر; 2019. ارزیابی اثرات تغییر اقلیم و راهکارهای سازگاری به آن بر عملکرد و کارایی مصرف آب گندم آبی (Triticum aestivum): مطالعه موردی استان خراسان رضوی. مجله پژوهش‌های تولید گیاهی, 26. 10.22069/jopp.2019.15046.2347
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2019 0
Liu, De Li; Wang, Bin; Evans, Jason; Ji, Fei; Waters, Cathy; Macadam, Ian; Yang, Xihua; Beyer, Kathleen; 2019. Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems. International Journal of Climatology, 39424–444. 10.1002/joc.5820
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2019 16
Das, Bianca; Huth, Neil; Probert, Merv; Paul, Birthe; Kihara, Job; Bolo, Peter; Rodriguez, Daniel; Herrero, Mario; Schmidt, Susanne; 2019. Drivers of Phosphorus Efficiency in Tropical and Subtropical Cropping Systems. Proceedings, 3613. 10.3390/proceedings2019036013
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2019 0
Ababaei, Behnam; Chenu, Karine; 2019. Recent Trends in Drought, Heat and Frost-Induced Yield Losses Across the Australian Wheatbelt. Proceedings, 365. 10.3390/proceedings2019036005
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2019 9
Jarolímek, Jan; Pavlík, Jan; Kholova, Jana; Ronanki, Swarna; 2019. Data Pre-processing for Agricultural Simulations. Agris on-line Papers in Economics and Informatics, 1149–53. 10.7160/aol.2019.110105
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2019 3
Hina, Tayyaba; Adil, Sultan Ali; Ashfaq, Muhammad; Ahmad, Ashfaq; 2019. Economic Impact Assessment of Climatic Change Sensitivity in Rice-Wheat Cropping System of Pakistan. Indian Journal of Science and Technology, 121–17. 10.17485/ijst/2019/v12i37/147643
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2019 4
Shahhosseini, Mohsen; Martinez-Feria, Rafael A; Hu, Guiping; Archontoulis, Sotirios V; 2019. Maize yield and nitrate loss prediction with machine learning algorithms. Environmental Research Letters, 14124026. 10.1088/1748-9326/ab5268
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Sheraz Mahdi, Syed; Kalra, Naveen; Kumar, Manoj; 2019. Simulating the Impact of Climate Change and its Variability on Agriculture. , 21–28. [13]
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2019 29
Ebrahimi-Mollabashi, Elnaz; Huth, Neil I.; Holzwoth, Dean P.; Ordóñez, Raziel A.; Hatfield, Jerry L.; Huber, Isaiah; Castellano, Michael J.; Archontoulis, Sotirios V.; 2019. Enhancing APSIM to simulate excessive moisture effects on root growth. Field Crops Research, 23658–67. 10.1016/j.fcr.2019.03.014
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2019 77
Wang, Enli; Brown, Hamish E; Rebetzke, Greg J; Zhao, Zhigan; Zheng, Bangyou; Chapman, Scott C; 2019. Improving process-based crop models to better capture genotype×environment×management interactions. Journal of Experimental Botany, 702389–2401. 10.1093/jxb/erz092
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2019 70
Wu, Renye; Lawes, Roger; Oliver, Yvette; Fletcher, Andrew; Chen, Chao; 2019. How well do we need to estimate plant-available water capacity to simulate water-limited yield potential?. Agricultural Water Management, 212441–447. 10.1016/j.agwat.2018.09.029
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2019 18
Zhao, Jin; Yang, Xiaoguang; 2019. Spatial patterns of yield-based cropping suitability and its driving factors in the three main maize-growing regions in China. International Journal of Biometeorology, 631659–1668. 10.1007/s00484-019-01783-1
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2019 16
Nóia Júnior, Rogério de Souza; Sentelhas, Paulo Cesar; 2019. Soybean-maize off-season double crop system in Brazil as affected by El Niño Southern Oscillation phases. Agricultural Systems, 173254–267. 10.1016/j.agsy.2019.03.012
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2019 49
Fosu-Mensah, B. Y.; Manchadi, A.; Vlek, P. L. G.; 2019. Impacts of climate change and climate variability on maize yield under rainfed conditions in the sub-humid zone of Ghana: A scenario analysis using APSIM. West African Journal of Applied Ecology, 27108 126–108 126. 10.4314/wajae.v27i1.
unknown
2019 20
Wu, Yushan; Wang, Enli; He, Di; Liu, Xin; Archontoulis, Sotirios V.; Huth, Neil I.; Zhao, Zhigan; Gong, Wanzhuo; Yang, Wenyu; 2019. Combine observational data and modelling to quantify cultivar differences of soybean. European Journal of Agronomy, 111125940. 10.1016/j.eja.2019.125940
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2019 15
Jones, M.R.; Singels, A.; Chinorumba, S.; Patton, A.; Poser, C.; Singh, M.; Martiné, J.F.; Christina, M.; Shine, J.; Annandale, J.; Hammer, G.; 2019. Exploring process-level genotypic and environmental effects on sugarcane yield using an international experimental dataset. Field Crops Research, 244107622. 10.1016/j.fcr.2019.107622
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2019 16
Marcillo, Guillermo S.; Carlson, Sarah; Filbert, Meghan; Kaspar, Thomas; Plastina, Alejandro; Miguez, Fernando E.; 2019. Maize system impacts of cover crop management decisions: A simulation analysis of rye biomass response to planting populations in Iowa, U.S.A.. Agricultural Systems, 176102651. 10.1016/j.agsy.2019.102651
closed
2019 19
He, Di; Wang, Enli; 2019. On the relation between soil water holding capacity and dryland crop productivity. Geoderma, 35311–24. 10.1016/j.geoderma.2019.06.022
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2019 50
Ahmed, Mukhtar; Stöckle, Claudio O.; Nelson, Roger; Higgins, Stewart; Ahmad, Shakeel; Raza, Muhammad Ali; 2019. Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity. Scientific Reports, 97813. 10.1038/s41598-019-44251-x
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2019 41
Kaloki, Peter; Luo, Qunying; Trethowan, Richard; Tan, Daniel K. Y.; 2019. Can the development of drought tolerant ideotype sustain Australian chickpea yield?. International Journal of Biometeorology, 63393–403. 10.1007/s00484-019-01672-7
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2019 20
Liu, Junzhi; Liu, Zhangcong; Zhu, A-Xing; Shen, Fang; Lei, Qiuliang; Duan, Zheng; 2019. Global sensitivity analysis of the APSIM-Oryza rice growth model under different environmental conditions. Science of The Total Environment, 651953–968. 10.1016/j.scitotenv.2018.09.254
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2019 36
Vogeler, Iris; Cichota, Rogerio; Thomsen, Ingrid K.; Bruun, Sander; Jensen, Lars Stoumann; Pullens, Johannes W.M.; 2019. Estimating nitrogen release from Brassicacatch crop residues—Comparison of different approaches within the APSIM model. Soil and Tillage Research, 195104358. 10.1016/j.still.2019.104358
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2019 19
Khaliq, Tasneem; Gaydon, Donald S.; Ahmad, Mobin-ud-Din; Cheema, M.J.M.; Gull, Umair; 2019. Analyzing crop yield gaps and their causes using cropping systems modelling–A case study of the Punjab rice-wheat system, Pakistan. Field Crops Research, 232119–130. 10.1016/j.fcr.2018.12.010
closed
2019 43
Culman, María; de Farias, Claudio M.; Bayona, Cristihian; Cabrera Cruz, José Daniel; 2019. Using agrometeorological data to assist irrigation management in oil palm crops: A decision support method and results from crop model simulation. Agricultural Water Management, 2131047–1062. 10.1016/j.agwat.2018.09.052
closed
2019 27
Elli, Elvis Felipe; Sentelhas, Paulo Cesar; de Freitas, Cleverson Henrique; Carneiro, Rafaela Lorenzato; Alvares, Clayton Alcarde; 2019. Assessing the growth gaps of Eucalyptus plantations in Brazil – Magnitudes, causes and possible mitigation strategies. Forest Ecology and Management, 451117464. 10.1016/j.foreco.2019.117464
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2019 48
Ahmad, Ashfaq; Ashfaq, Muhammad; Wajid, Aftab; Khaliq, Tasneem; Ahmd, Ishfaq; Hoogenboom, Gerrit; 2019. Development of Climate Change Adaptation Strategies for Rice-wheat Cropping System of Punjab Pakistan. , . [14]
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2019 3
Bustos-Korts, Daniela; Boer, Martin P.; Malosetti, Marcos; Chapman, Scott; Chenu, Karine; Zheng, Bangyou; van Eeuwijk, Fred A.; 2019. Combining Crop Growth Modeling and Statistical Genetic Modeling to Evaluate Phenotyping Strategies. Frontiers in Plant Science, 101491. 10.3389/fpls.2019.01491
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2019 64
Dias, Henrique Boriolo; Inman-Bamber, Geoff; Bermejo, Rodrigo; Sentelhas, Paulo Cesar; Christodoulou, Diomedes; 2019. New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments. Field Crops Research, 23538–53. 10.1016/j.fcr.2019.02.002
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2019 35
Bahri, Haithem; Annabi, Mohamed; Cheikh M'Hamed, Hatem; Frija, Aymen; 2019. Assessing the long-term impact of conservation agriculture on wheat-based systems in Tunisia using APSIM simulations under a climate change context. Science of The Total Environment, 6921223–1233. 10.1016/j.scitotenv.2019.07.307
closed
2019 86
Wang, Bin; Liu, De Li; Evans, Jason P.; Ji, Fei; Waters, Cathy; Macadam, Ian; Feng, Puyu; Beyer, Kathleen; 2019. Modelling and evaluating the impacts of climate change on three major crops in south-eastern Australia using regional climate model simulations. Theoretical and Applied Climatology, 138509–526. 10.1007/s00704-019-02843-7
closed
2019 14
Bustos-Korts, Daniela; Malosetti, Marcos; Chenu, Karine; Chapman, Scott; Boer, Martin P.; Zheng, Bangyou; van Eeuwijk, Fred A.; 2019. From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time. Frontiers in Plant Science, 101540. 10.3389/fpls.2019.01540
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2019 38
Martinez-Feria, Rafael; Nichols, Virginia; Basso, Bruno; Archontoulis, Sotirios; 2019. Can multi-strategy management stabilize nitrate leaching under increasing rainfall?. Environmental Research Letters, 14124079. 10.1088/1748-9326/ab5ca8
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2019 26
McDonald, A.J.; Kumar, Virender; Poonia, S.P.; Srivastava, Amit K.; Malik, R.K.; 2019. Taking the climate risk out of transplanted and direct seeded rice: Insights from dynamic simulation in Eastern India. Field Crops Research, 23992–103. 10.1016/j.fcr.2019.05.014
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2019 43
Luo, Zhongkui; Eady, Sandra; Sharma, Bharat; Grant, Timothy; Liu, De Li; Cowie, Annette; Farquharson, Ryan; Simmons, Aaron; Crawford, Debbie; Searle, Ross; Moore, Andrew; 2019. Mapping future soil carbon change and its uncertainty in croplands using simple surrogates of a complex farming system model. Geoderma, 337311–321. 10.1016/j.geoderma.2018.09.041
closed
2019 31
Ibrahim, Ahmed; Harrison, Matthew Tom; Meinke, Holger; Zhou, Meixue; 2019. Examining the yield potential of barley near-isogenic lines using a genotype by environment by management analysis. European Journal of Agronomy, 10541–51. 10.1016/j.eja.2019.02.003
cc-by · submittedVersion
2019 49
Elli, Elvis Felipe; Sentelhas, Paulo Cesar; de Freitas, Cleverson Henrique; Carneiro, Rafaela Lorenzato; Alvares, Clayton Alcarde; 2019. Intercomparison of structural features and performance of Eucalyptus simulation models and their ensemble for yield estimations. Forest Ecology and Management, 450117493. 10.1016/j.foreco.2019.117493
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2019 26
Balboa, G.R.; Archontoulis, S.V.; Salvagiotti, F.; Garcia, F.O.; Stewart, W.M.; Francisco, E.; Prasad, P.V. Vara; Ciampitti, I.A.; 2019. A systems-level yield gap assessment of maize-soybean rotation under high- and low-management inputs in the Western US Corn Belt using APSIM. Agricultural Systems, 174145–154. 10.1016/j.agsy.2019.04.008
closed
2019 42
Machwitz, Miriam; Hass, Erik; Junk, Jürgen; Udelhoven, Thomas; Schlerf, Martin; 2019. CropGIS – A web application for the spatial and temporal visualization of past, present and future crop biomass development. Computers and Electronics in Agriculture, 161185–193. 10.1016/j.compag.2018.04.026
closed
2019 28
Vogeler, Iris; Carrick, Sam; Cichota, Rogerio; Lilburne, Linda; 2019. Estimation of soil subsurface hydraulic conductivity based on inverse modelling and soil morphology. Journal of Hydrology, 574373–382. 10.1016/j.jhydrol.2019.04.002
closed
2019 31
Carcedo, Ana J.P.; Gambin, Brenda L.; 2019. Sorghum drought and heat stress patterns across the Argentinean temperate central region. Field Crops Research, 241107552. 10.1016/j.fcr.2019.06.009
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2019 14
An-Vo, Duc-Anh; Mushtaq, Shahbaz; Reardon-Smith, Kathryn; Kouadio, Louis; Attard, Steve; Cobon, David; Stone, Roger; 2019. Value of seasonal forecasting for sugarcane farm irrigation planning. European Journal of Agronomy, 10437–48. 10.1016/j.eja.2019.01.005
closed
2019 37
Kogo, Benjamin Kipkemboi; Kumar, Lalit; Koech, Richard; Langat, Philip; 2019. Modelling Impacts of Climate Change on Maize (<i>Zea mays</i> L.) Growth and Productivity: A Review of Models, Outputs and Limitations. Journal of Geoscience and Environment Protection, 776–95. 10.4236/gep.2019.78006
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2019 26
Li, Jianzheng; Luo, Zhongkui; Wang, Yingchun; Li, Hu; Xing, Hongtao; Wang, Ligang; Wang, Enli; Xu, Hui; Gao, Chunyu; Ren, Tianzhi; 2019. Optimizing Nitrogen and Residue Management to Reduce GHG Emissions while Maintaining Crop Yield: A Case Study in a Mono-Cropping System of Northeast China. Sustainability, 115015. 10.3390/su11185015
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2019 12
Rosenstock, Todd S.; Nowak, Andreea; Girvetz, Evan; Masikati, Patricia; Descheemaeker, Katrien; Crespo, Olivier; 2019. Understanding the Role of Soils and Management on Crops in the Face of Climate Uncertainty in Zimbabwe: A Sensitivity Analysis. , 49–64. [15]
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2019 6
Nóia Júnior, Rogério de Souza; Sentelhas, Paulo Cesar; 2019. Soybean-maize succession in Brazil: Impacts of sowing dates on climate variability, yields and economic profitability. European Journal of Agronomy, 103140–151. 10.1016/j.eja.2018.12.008
closed
2019 78
Sheng, Meiling; Liu, Junzhi; Zhu, A-Xing; Rossiter, David G.; Liu, Haoran; Liu, Zhangcong; Zhu, Liming; 2019. Comparison of GLUE and DREAM for the estimation of cultivar parameters in the APSIM-maize model. Agricultural and Forest Meteorology, 278107659. 10.1016/j.agrformet.2019.107659
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2019 31
Zeleke, Ketema; Nendel, Claas; 2019. Growth and yield response of faba bean to soil moisture regimes and sowing dates: Field experiment and modelling study. Agricultural Water Management, 2131063–1077. 10.1016/j.agwat.2018.12.023
closed
2019 20
Gunarathna, M.H.J.P.; Sakai, Kazuhito; Nakandakari, Tamotsu; Momii, Kazuro; Kumari, M.K.N.; 2019. Sensitivity Analysis of Plant- and Cultivar-Specific Parameters of APSIM-Sugar Model: Variation between Climates and Management Conditions. Agronomy, 9242. 10.3390/agronomy9050242
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2019 22
Shahhosseini, Mohsen; Martinez-Feria, Rafael A; Hu, Guiping; Archontoulis, Sotirios V; 2019. Maize yield and nitrate loss prediction with machine learning algorithms. Environmental Research Letters, 14124026. 10.1088/1748-9326/ab5268
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Harrison, Matthew Tom; Roggero, Pier Paolo; Zavattaro, Laura; 2019. Simple, efficient and robust techniques for automatic multi-objective function parameterisation: Case studies of local and global optimisation using APSIM. Environmental Modelling & Software, 117109–133. 10.1016/j.envsoft.2019.03.010
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2019 39
Anderson, Edward; Monjardino, Marta; 2019. Contract design in agriculture supply chains with random yield. European Journal of Operational Research, 2771072–1082. 10.1016/j.ejor.2019.03.041
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2019 87
Reading, L. P.; Bajracharya, K.; Wang, J.; 2019. Simulating deep drainage and nitrate leaching on a regional scale: implications for groundwater management in an intensively irrigated area. Irrigation Science, 37561–581. 10.1007/s00271-019-00636-4
· submittedVersion
2019 0
Gao, Jiqing; Yang, Xiaoguang; Zheng, Bangyou; Liu, Zhijuan; Zhao, Jin; Sun, Shuang; Li, Kenan; Dong, Chaoyang; 2019. Effects of climate change on the extension of the potential double cropping region and crop water requirements in Northern China. Agricultural and Forest Meteorology, 268146–155. 10.1016/j.agrformet.2019.01.009
closed
2019 80
Rahimi-Moghaddam, Sajjad; Kambouzia, Jafar; Deihimfard, Reza; 2019. Optimal genotype × environment × management as a strategy to increase grain maize productivity and water use efficiency in water-limited environments and rising temperature. Ecological Indicators, 107105570. 10.1016/j.ecolind.2019.105570
closed
2019 15
Vogeler, Iris; Thomas, Steve; van der Weerden, Tony; 2019. Effect of irrigation management on pasture yield and nitrogen losses. Agricultural Water Management, 21660–69. 10.1016/j.agwat.2019.01.022
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2019 35
McNunn, Gabriel; Heaton, Emily; Archontoulis, Sotirios; Licht, Mark; VanLoocke, Andy; 2019. Using a Crop Modeling Framework for Precision Cost-Benefit Analysis of Variable Seeding and Nitrogen Application Rates. Frontiers in Sustainable Food Systems, 3108. 10.3389/fsufs.2019.00108
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2019 40
Wu, Lu; Feng, Liping; Li, Yizhuo; Wang, Jing; Wu, Lianhai; 2019. A Yield-Related Agricultural Drought Index Reveals Spatio-Temporal Characteristics of Droughts in Southwestern China. Sustainability, 11714. 10.3390/su11030714
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2019 10
García, Guillermo A.; Miralles, Daniel J.; Serrago, Román A.; Alzueta, Ignacio; Huth, Neil; Dreccer, M. Fernanda; 2018. Warm nights in the Argentine Pampas: Modelling its impact on wheat and barley shows yield reductions. Agricultural Systems, 162259–268. 10.1016/j.agsy.2017.12.009
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2018 31
Rahimi-Moghaddam, Sajjad; Kambouzia, Jafar; Deihimfard, Reza; 2018. Adaptation strategies to lessen negative impact of climate change on grain maize under hot climatic conditions: A model-based assessment. Agricultural and Forest Meteorology, 2531–14. 10.1016/j.agrformet.2018.01.032
closed
2018 51
Luetkemeier, Robert; Stein, Lina; Drees, Lukas; Müller, Hannes; Liehr, Stefan; 2018. Uncertainty of Rainfall Products: Impact on Modelling Household Nutrition from Rain-Fed Agriculture in Southern Africa. Water, 10499. 10.3390/w10040499
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2018 10
Amarasingha, R. K.; Suriyagoda, L. D. B.; Marambe, B.; Galagedara, L. W.; Punyawardena, R.; 2018. Impact of climate change on rice yield in Sri Lanka: a crop modelling approach using Agriculture Production System Simulator (APSIM). Sri Lanka Journal of Food and Agriculture, 421. 10.4038/sljfa.v4i1.54
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2018 5
Fan, Dongliang; Yang, Feiyun; Pan, Zhihua; Su, Xiaoyun; Pan, Yuying; Han, Guolin; Wang, Jialin; Wu, Dong; Dong, Zhiqiang; 2018. Development of an Improved Model to Evaluate Vulnerability in Spring Wheat under Climate Change in Inner Mongolia. Sustainability, 104581. 10.3390/su10124581
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2018 3
Dokoohaki, Hamze; Miguez, Fernando E.; Archontoulis, Sotirios; Laird, David; 2018. Use of inverse modelling and Bayesian optimization for investigating the effect of biochar on soil hydrological properties. Agricultural Water Management, 208268–274. 10.1016/j.agwat.2018.06.034
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2018 28
Zhu, Ruirui; Zheng, Hongxing; Wang, Enli; Jakeman, Anthony J.; 2018. A hybrid process based-empirical approach to identify the association between wheat productivity and climate in the North China Plain during the past 50 years. Environmental Modelling & Software, 10872–80. 10.1016/j.envsoft.2018.07.017
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2018 5
Vogeler, Iris; Cichota, Rogerio; 2018. Effect of variability in soil properties plus model complexity on predicting topsoil water content and nitrous oxide emissions. Soil Research, 56810. 10.1071/SR18080
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2018 10
Deihimfard, Reza; Eyni-Nargeseh, Hamed; Mokhtassi-Bidgoli, Ali; 2018. Effect of Future Climate Change on Wheat Yield and Water Use Efficiency Under Semi-arid Conditions as Predicted by APSIM-Wheat Model. International Journal of Plant Production, 12115–125. 10.1007/s42106-018-0012-4
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2018 35
Borus, D.; Parsons, D.; Boersma, M.; Brown, H.; Mohammed, C.; 2018. Improving the prediction of potato productivity: APSIM-Potato model parameterization and evaluation in Tasmania, Australia. Australian Journal of Crop Science, 1232–43. 10.21475/ajcs.18.12.01.pne570
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2018 19
Ojeda, Jonathan J.; Volenec, Jeffrey J.; Brouder, Sylvie M.; Caviglia, Octavio P.; Agnusdei, Mónica G.; 2018. Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM. Agricultural Water Management, 195154–171. 10.1016/j.agwat.2017.10.010
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2018 26
Nie, Zhi-Gang; Li, Guang; Luo, Cui-Ping; Ma, Wei-Wei; Dai, Yong-Qiang; 2018. Parameter Optimization in APSIM-Based Simulation Model for Yield For-mation of Dryland Wheat Using Shuffled Frog Leaping Algorithm. Acta Agronomica Sinica, 441229. 10.3724/SP.J.1006.2018.01229
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2018 1
Cichota, Rogerio; Vogeler, Iris; 2018. Response to ‘Comments on “Linking Land Use Capability classes and APSIM to estimate pasture growth for regional planning” in Soil Research 54, 94–110 (2016)'. Soil Research, 56216. 10.1071/SR18023
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2018 0
Levitan, Nathaniel; Gross, Barry; 2018. Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms. Remote Sensing, 101968. 10.3390/rs10121968
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2018 7
Zeleke, Ketema Tilahun; 2018. Effect of summer fallow management on crop yield: Field experiment and simulation analysis. Agricultural Water Management, 203405–410. 10.1016/j.agwat.2018.03.032
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2018 1
Lynn, Ian H.; 2018. Comments on ‘Linking Land Use Capability classes and APSIM to estimate pasture growth for regional planning' in Soil Research 54, 94–110 (2016). Soil Research, 56215. 10.1071/SR17166
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2018 0
An-Vo, Duc-Anh; Mushtaq, Shahbaz; Zheng, Bangyou; Christopher, Jack T.; Chapman, Scott C.; Chenu, Karine; 2018. Direct and Indirect Costs of Frost in the Australian Wheatbelt. Ecological Economics, 150122–136. 10.1016/j.ecolecon.2018.04.008
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2018 22
Yang, Xuan; Zheng, Lina; Yang, Qian; Wang, Zikui; Cui, Song; Shen, Yuying; 2018. Modelling the effects of conservation tillage on crop water productivity, soil water dynamics and evapotranspiration of a maize-winter wheat-soybean rotation system on the Loess Plateau of China using APSIM. Agricultural Systems, 166111–123. 10.1016/j.agsy.2018.08.005
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2018 71
Thomas, Dean T.; Moore, Andrew D.; Bell, Lindsay W.; Webb, Nicholas P.; 2018. Ground cover, erosion risk and production implications of targeted management practices in Australian mixed farming systems: Lessons from the Grain and Graze program. Agricultural Systems, 162123–135. 10.1016/j.agsy.2018.02.001
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2018 29
Vilvert, Elisa; Lana, Marcos; Zander, Peter; Sieber, Stefan; 2018. Multi-model approach for assessing the sunflower food value chain in Tanzania. Agricultural Systems, 159103–110. 10.1016/j.agsy.2017.10.014
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2018 27
Dixit, Prakash N.; Telleria, Roberto; Al Khatib, Amal N.; Allouzi, Siham F.; 2018. Decadal analysis of impact of future climate on wheat production in dry Mediterranean environment: A case of Jordan. Science of The Total Environment, 610219–233. 10.1016/j.scitotenv.2017.07.270
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2018 39
Kandulu, John; Thorburn, Peter; Biggs, Jody; Verburg, Kirsten; 2018. Estimating economic and environmental trade-offs of managing nitrogen in Australian sugarcane systems taking agronomic risk into account. Journal of Environmental Management, 223264–274. 10.1016/j.jenvman.2018.06.023
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2018 21
Silungwe, Festo; Graef, Frieder; Bellingrath-Kimura, Sonoko; Tumbo, Siza; Kahimba, Frederick; Lana, Marcos; 2018. Crop Upgrading Strategies and Modelling for Rainfed Cereals in a Semi-Arid Climate—A Review. Water, 10356. 10.3390/w10040356
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2018 13
Peake, A.S.; Das, B.T.; Bell, K.L.; Gardner, M.; Poole, N.; 2018. Effect of variable crop duration on grain yield of irrigated spring-wheat when flowering is synchronised. Field Crops Research, 228183–194. 10.1016/j.fcr.2018.09.004
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2018 14
Nezomba, Hatirarami; Mtambanengwe, Florence; Rurinda, Jairos; Mapfumo, Paul; 2018. Integrated soil fertility management sequences for reducing climate risk in smallholder crop production systems in southern Africa. Field Crops Research, 224102–114. 10.1016/j.fcr.2018.05.003
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2018 35
Hoffmann, Munir P.; Isselstein, Johannes; Rötter, Reimund P.; Kayser, Manfred; 2018. Nitrogen management in crop rotations after the break-up of grassland: Insights from modelling. Agriculture, Ecosystems & Environment, 25928–44. 10.1016/j.agee.2018.02.009
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2018 30
Ahmed, Mukhtar; Ijaz, Waqas; Ahmad, Shakeel; 2018. Adapting and evaluating APSIM-SoilP-Wheat model for response to phosphorus under rainfed conditions of Pakistan. Journal of Plant Nutrition, 412069–2084. 10.1080/01904167.2018.1485933
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2018 23
Dilla, Aynalem; Smethurst, Philip J.; Barry, Karen; Parsons, David; Denboba, Mekuria; 2018. Potential of the APSIM model to simulate impacts of shading on maize productivity. Agroforestry Systems, 921699–1709. 10.1007/s10457-017-0119-0
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2018 29
Sun, Shuang; Yang, Xiaoguang; Lin, Xiaomao; Sassenrath, Gretchen F.; Li, Kenan; 2018. Winter Wheat Yield Gaps and Patterns in China. Agronomy Journal, 110319–330. 10.2134/agronj2017.07.0417
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2018 42
Xiao, Dengpan; Bai, Huizi; Liu, De; 2018. Impact of Future Climate Change on Wheat Production: A Simulated Case for China’s Wheat System. Sustainability, 101277. 10.3390/su10041277
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2018 68
Luo, Qunying; Trethowan, Richard; Tan, Daniel K. Y.; 2018. Managing the risk of extreme climate events in Australian major wheat production systems. International Journal of Biometeorology, 621685–1694. 10.1007/s00484-018-1568-5
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2018 8
Bal, Santanu Kumar; Mukherjee, Joydeep; Choudhury, Burhan Uddin; Dhawan, Ashok Kumar; Dhakar, Rajkumar; Sarath Chandran, M. A.; Nagar, Shivani; Visha Kumari, V.; Subbarao, A. V. M.; Vijaya Kumar, P.; 2018. Field Crop Response to Water Deficit Stress: Assessment Through Crop Models. , 287–315. [16]
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2018 12
Phelan, David C.; Harrison, Matthew T.; McLean, Greg; Cox, Howard; Pembleton, Kieth G.; Dean, Geoff J.; Parsons, David; do Amaral Richter, Maria E.; Pengilley, Georgie; Hinton, Sue J.; Mohammed, Caroline L.; 2018. Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania. Agricultural Systems, 167113–124. 10.1016/j.agsy.2018.09.003
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2018 59
Ndukhu, O. H.; Wahome, G. R.; 2018. Modelling Nutrient Dynamics and Maize Yields under Different Cropping Systems and Organic Amendments Using APSIM in Central Kenya. International Journal of Plant & Soil Science, 241–16. 10.9734/IJPSS/2018/16201
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2018 0
Zhao, Jin; Yang, Xiaoguang; Sun, Shuang; 2018. Constraints on maize yield and yield stability in the main cropping regions in China. European Journal of Agronomy, 99106–115. 10.1016/j.eja.2018.07.003
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2018 50
Cichota, Rogerio; Vogeler, Iris; Snow, Val; Shepherd, Mark; McAuliffe, Russell; Welten, Brendon; 2018. Lateral spread affects nitrogen leaching from urine patches. Science of The Total Environment, 6351392–1404. 10.1016/j.scitotenv.2018.04.005
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2018 18
Teixeira, Edmar I.; Brown, Hamish E.; Michel, Alexandre; Meenken, Esther; Hu, Wei; Thomas, Steve; Huth, Neil I.; Holzworth, Dean P.; 2018. Field estimation of water extraction coefficients with APSIM-Slurp for water uptake assessments in perennial forages. Field Crops Research, 22226–38. 10.1016/j.fcr.2018.03.011
closed
2018 13
Hoffmann, Munir P.; Odhiambo, Jude J.O.; Koch, Marian; Ayisi, Kingsley K.; Zhao, Gang; Soler, Alejandra S.; Rötter, Reimund P.; 2018. Exploring adaptations of groundnut cropping to prevailing climate variability and extremes in Limpopo Province, South Africa. Field Crops Research, 2191–13. 10.1016/j.fcr.2018.01.019
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2018 23
Uribe, Raul Andres Martinez; Gava, Glauber José de Castro; Kölln, Oriel Tiago; Saad, Joao Carlos Cury; 2018. ESTIMATIVA DO ACÚMULO DE FITOMASSA DA SOQUEIRA DE CANA-DE-AÇÚCAR FERTIRRIGADA COM DOSES DE N-FERTILIZANTE UTILIZANDO MODELO DE SIMULAÇÃO. IRRIGA, 1126. 10.15809/irriga.2016v1n1p126-139
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2018 3
Masvaya, Esther N.; Nyamangara, Justice; Giller, Ken E.; Descheemaeker, Katrien; 2018. Risk management options in maize cropping systems in semi-arid areas of Southern Africa. Field Crops Research, 228110–121. 10.1016/j.fcr.2018.09.002
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2018 9
Kabir, Md. Jahangir; Gaydon, Donald S.; Cramb, Rob; Roth, Christian H.; 2018. Bio-economic evaluation of cropping systems for saline coastal Bangladesh: I. Biophysical simulation in historical and future environments. Agricultural Systems, 162107–122. 10.1016/j.agsy.2018.01.027
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2018 12
Cichota, Rogerio; Vogeler, Iris; Werner, Armin; Wigley, Kathryn; Paton, Brittany; 2018. Performance of a fertiliser management algorithm to balance yield and nitrogen losses in dairy systems. Agricultural Systems, 16256–65. 10.1016/j.agsy.2018.01.017
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2018 13
Brown, Jaclyn N.; Hochman, Zvi; Holzworth, Dean; Horan, Heidi; 2018. Seasonal climate forecasts provide more definitive and accurate crop yield predictions. Agricultural and Forest Meteorology, 260247–254. 10.1016/j.agrformet.2018.06.001
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2018 83
Ojeda, J.J.; Pembleton, K.G.; Caviglia, O.P.; Islam, M.R.; Agnusdei, M.G.; Garcia, S.C.; 2018. Modelling forage yield and water productivity of continuous crop sequences in the Argentinian Pampas. European Journal of Agronomy, 9284–96. 10.1016/j.eja.2017.10.004
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2018 25
Kabir, Md. Jahangir; Cramb, Rob; Gaydon, Donald S.; Roth, Christian H.; 2018. Bio-economic evaluation of cropping systems for saline coastal Bangladesh: III Benefits of adaptation in current and future environments. Agricultural Systems, 16128–41. 10.1016/j.agsy.2017.12.006
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2018 25
Battisti, Rafael; Sentelhas, Paulo C.; Parker, Phillip S.; Nendel, Claas; Câmara, Gil M. De S.; Farias, José R. B.; Basso, Claudir J.; 2018. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. Crop and Pasture Science, 69154. 10.1071/CP17293
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2018 42
Rötter, R.P.; Appiah, M.; Fichtler, E.; Kersebaum, K.C.; Trnka, M.; Hoffmann, M.P; 2018. Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes—A review. Field Crops Research, 221142–156. 10.1016/j.fcr.2018.02.023
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2018 122
Hussain, Jamshad; Khaliq, Tasneem; Ahmad, Ashfaq; Akhtar, Javed; Lightfoot, David A.; 2018. Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates. PLOS ONE, 13e0197546. 10.1371/journal.pone.0197546
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2018 59
Puntel, Laila A.; Sawyer, John E.; Barker, Daniel W.; Thorburn, Peter J.; Castellano, Michael J.; Moore, Kenneth J.; VanLoocke, Andrew; Heaton, Emily A.; Archontoulis, Sotirios V.; 2018. A Systems Modeling Approach to Forecast Corn Economic Optimum Nitrogen Rate. Frontiers in Plant Science, 9436. 10.3389/fpls.2018.00436
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2018 52
Western, Andrew W.; Dassanayake, Kithsiri B.; Perera, Kushan C.; Argent, Robert M.; Alves, Oscar; Young, Griffith; Ryu, Dongryeol; 2018. An evaluation of a methodology for seasonal soil water forecasting for Australian dry land cropping systems. Agricultural and Forest Meteorology, 253161–175. 10.1016/j.agrformet.2018.02.012
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2018 16
Descheemaeker, Katrien; Zijlstra, Mink; Masikati, Patricia; Crespo, Olivier; Homann-Kee Tui, Sabine; 2018. Effects of climate change and adaptation on the livestock component of mixed farming systems: A modelling study from semi-arid Zimbabwe. Agricultural Systems, 159282–295. 10.1016/j.agsy.2017.05.004
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2018 62
Seyoum, Solomon; Rachaputi, Rao; Chauhan, Yash; Prasanna, Boddupalli; Fekybelu, Solomon; 2018. Application of the APSIM model to exploit G × E × M interactions for maize improvement in Ethiopia. Field Crops Research, 217113–124. 10.1016/j.fcr.2017.12.012
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2018 39
Teixeira, Edmar I.; de Ruiter, John; Ausseil, Anne-Gaelle; Daigneault, Adam; Johnstone, Paul; Holmes, Allister; Tait, Andrew; Ewert, Frank; 2018. Adapting crop rotations to climate change in regional impact modelling assessments. Science of The Total Environment, 616785–795. 10.1016/j.scitotenv.2017.10.247
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2018 71
Martinez-Feria, Rafael A.; Castellano, Michael J.; Dietzel, Ranae N.; Helmers, Matt J.; Liebman, Matt; Huber, Isaiah; Archontoulis, Sotirios V.; 2018. Linking crop- and soil-based approaches to evaluate system nitrogen-use efficiency and tradeoffs. Agriculture, Ecosystems & Environment, 256131–143. 10.1016/j.agee.2018.01.002
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2018 105
Maharjan, Ganga Ram; Prescher, Anne-Katrin; Nendel, Claas; Ewert, Frank; Mboh, Cho Miltin; Gaiser, Thomas; Seidel, Sabine J.; 2018. Approaches to model the impact of tillage implements on soil physical and nutrient properties in different agro-ecosystem models. Soil and Tillage Research, 180210–221. 10.1016/j.still.2018.03.009
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2018 58
Sun, Shuang; Yang, Xiaoguang; Lin, Xiaomao; Sassenrath, Gretchen F.; Li, Kenan; 2018. Climate-smart management can further improve winter wheat yield in China. Agricultural Systems, 16210–18. 10.1016/j.agsy.2018.01.010
closed
2018 53
Aller, Deborah M.; Archontoulis, Sotirios V.; Zhang, Wendong; Sawadgo, Wendiam; Laird, David A.; Moore, Kenneth; 2018. Long term biochar effects on corn yield, soil quality and profitability in the US Midwest. Field Crops Research, 22730–40. 10.1016/j.fcr.2018.07.012
closed
2018 66
Ruan, Hongyan; Feng, Puyu; Wang, Bin; Xing, Hongtao; O’Leary, Garry J.; Huang, Zhigang; Guo, Hao; Liu, De Li; 2018. Future climate change projects positive impacts on sugarcane productivity in southern China. European Journal of Agronomy, 96108–119. 10.1016/j.eja.2018.03.007
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2018 59
Wang, Na; Wang, Enli; Wang, Jing; Zhang, Jianping; Zheng, Bangyou; Huang, Yi; Tan, Meixiu; 2018. Modelling maize phenology, biomass growth and yield under contrasting temperature conditions. Agricultural and Forest Meteorology, 250319–329. 10.1016/j.agrformet.2018.01.005
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2018 78
Brown, Hamish; Huth, Neil; Holzworth, Dean; 2018. Crop model improvement in APSIM: Using wheat as a case study. European Journal of Agronomy, 100141–150. 10.1016/j.eja.2018.02.002
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2018 77
Laing, A.M.; Roth, C.H.; Chialue, L.; Gaydon, D.S.; Grünbühel, C.M.; Inthavong, T.; Phengvichith, V.; Schiller, J.; Thiravong, K.; Williams, L.J.; 2018. Mechanised dry seeding is an adaptation strategy for managing climate risks and reducing labour costs in rainfed rice production in lowland Lao PDR. Field Crops Research, 22532–46. 10.1016/j.fcr.2018.05.020
closed
2018 22
Zhao, Jin; Yang, Xiaoguang; 2018. Distribution of high-yield and high-yield-stability zones for maize yield potential in the main growing regions in China. Agricultural and Forest Meteorology, 248511–517. 10.1016/j.agrformet.2017.10.016
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2018 56
Corbeels, Marc; Berre, David; Rusinamhodzi, Leonard; Lopez-Ridaura, Santiago; 2018. Can we use crop modelling for identifying climate change adaptation options?. Agricultural and Forest Meteorology, 25646–52. 10.1016/j.agrformet.2018.02.026
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2018 82
Dreccer, M. Fernanda; Fainges, Justin; Whish, Jeremy; Ogbonnaya, Francis C.; Sadras, Victor O.; 2018. Comparison of sensitive stages of wheat, barley, canola, chickpea and field pea to temperature and water stress across Australia. Agricultural and Forest Meteorology, 248275–294. 10.1016/j.agrformet.2017.10.006
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2018 130
Jin, Zhenong; Ainsworth, Elizabeth A.; Leakey, Andrew D. B.; Lobell, David B.; 2018. Increasing drought and diminishing benefits of elevated carbon dioxide for soybean yields across the US Midwest. Global Change Biology, 24e522–e533. 10.1111/gcb.13946
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2018 99
Sida, Tesfaye Shiferaw; Baudron, Frédéric; Kim, Haekoo; Giller, Ken E.; 2018. Climate-smart agroforestry: Faidherbia albida trees buffer wheat against climatic extremes in the Central Rift Valley of Ethiopia. Agricultural and Forest Meteorology, 248339–347. 10.1016/j.agrformet.2017.10.013
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2018 124
Brown, Hamish; Carrick, Sam; Müller, Karin; Thomas, Steve; Sharp, Joanna; Cichota, Rogerio; Holzworth, Dean; Clothier, Brent; 2018. Modelling soil-water dynamics in the rootzone of structured and water-repellent soils. Computers & Geosciences, 11333–42. 10.1016/j.cageo.2018.01.014
closed
2018 16
Peng, Bin; Guan, Kaiyu; Chen, Min; Lawrence, David M.; Pokhrel, Yadu; Suyker, Andrew; Arkebauer, Timothy; Lu, Yaqiong; 2018. Improving maize growth processes in the community land model: Implementation and evaluation. Agricultural and Forest Meteorology, 25064–89. 10.1016/j.agrformet.2017.11.012
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2018 83
Holzworth, Dean; Huth, N.I.; Fainges, J.; Brown, H.; Zurcher, E.; Cichota, R.; Verrall, S.; Herrmann, N.I.; Zheng, B.; Snow, V.; 2018. APSIM Next Generation: Overcoming challenges in modernising a farming systems model. Environmental Modelling & Software, 10343–51. 10.1016/j.envsoft.2018.02.002
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2018 277
Dias, Henrique Boriolo; Sentelhas, Paulo Cesar; 2018. Sugarcane yield gap analysis in Brazil – A multi-model approach for determining magnitudes and causes. Science of The Total Environment, 6371127–1136. 10.1016/j.scitotenv.2018.05.017
closed
2018 85
Soufizadeh, S.; Munaro, E.; McLean, G.; Massignam, A.; van Oosterom, E.J.; Chapman, S.C.; Messina, C.; Cooper, M.; Hammer, G.L.; 2018. Modelling the nitrogen dynamics of maize crops – Enhancing the APSIM maize model. European Journal of Agronomy, 100118–131. 10.1016/j.eja.2017.12.007
closed
2018 75
Luo, Jianmei; Shen, Yanjun; Qi, Yongqing; Zhang, Yucui; Xiao, Dengpan; 2018. Evaluating water conservation effects due to cropping system optimization on the Beijing-Tianjin-Hebei plain, China. Agricultural Systems, 15932–41. 10.1016/j.agsy.2017.10.002
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2018 53
Rodriguez, D.; de Voil, P.; Hudson, D.; Brown, J. N.; Hayman, P.; Marrou, H.; Meinke, H.; 2018. Predicting optimum crop designs using crop models and seasonal climate forecasts. Scientific Reports, 82231. 10.1038/s41598-018-20628-2
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2018 81
George, Nicholas; Thompson, Sally E.; Hollingsworth, Joy; Orloff, Steven; Kaffka, Stephen; 2018. Measurement and simulation of water-use by canola and camelina under cool-season conditions in California. Agricultural Water Management, 19615–23. 10.1016/j.agwat.2017.09.015
closed
2018 28
Radanielson, A.M.; Gaydon, D.S.; Li, T.; Angeles, O.; Roth, C.H.; 2018. Modeling salinity effect on rice growth and grain yield with ORYZA v3 and APSIM-Oryza. European Journal of Agronomy, 10044–55. 10.1016/j.eja.2018.01.015
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2018 80
Houshmandfar, Alireza; Fitzgerald, Glenn J.; O'Leary, Garry; Tausz-Posch, Sabine; Fletcher, Andrew; Tausz, Michael; 2018. The relationship between transpiration and nutrient uptake in wheat changes under elevated atmospheric CO 2. Physiologia Plantarum, 163516–529. 10.1111/ppl.12676
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2018 63
Snapp, Sieglinde S.; Grabowski, Philip; Chikowo, Regis; Smith, Alex; Anders, Erin; Sirrine, Dorothy; Chimonyo, Vimbayi; Bekunda, Mateete; 2018. Maize yield and profitability tradeoffs with social, human and environmental performance: Is sustainable intensification feasible?. Agricultural Systems, 16277–88. 10.1016/j.agsy.2018.01.012
cc-by-nc-nd · publishedVersion
2018 91
Battisti, R.; Sentelhas, P. C.; Boote, K. J.; 2018. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, 62823–832. 10.1007/s00484-017-1483-1
closed
2018 27
Tang, Jianzhao; Wang, Jing; Fang, Quanxiao; Wang, Enli; Yin, Hong; Pan, Xuebiao; 2018. Optimizing planting date and supplemental irrigation for potato across the agro-pastoral ecotone in North China. European Journal of Agronomy, 9882–94. 10.1016/j.eja.2018.05.008
closed
2018 47
Gowtham, Ramasamy; Ramaraj, Ammapet Palanisamy; Geethalakshmi, Vellingiri; 2018. Climate Change Projections and Addressing Intrinsic Uncertainties. , 387–402. [17]
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Hadiya, N. J., Kumar, N., & Mote, B. M. 2018. Use of WOFOST model in agriculture-A review.. Agricultural Reviews, 39234-240. 10.18805/ag.R-1691
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2018 6
Kheir, A.M.S.; Zoghdan, M.G.; Aiad, M.A.; Rashed, Sahar H.; 2018. OPTIMIZING WHEAT YIELD AND WATER PRODUCTIVITY USING AQUACROP AND APSIM-WHEAT MODELS IN NORTH NILE DELTA, EGYPT. Menoufia Journal of Soil Science, 3177–201. 10.21608/mjss.2018.175608
· publishedVersion
2018 0
Deihimfard, Reza; Eyni-Nargeseh, Hamed; Mokhtassi-Bidgoli, Ali; 2018. Effect of Future Climate Change on Wheat Yield and Water Use Efficiency Under Semi-arid Conditions as Predicted by APSIM-Wheat Model. International Journal of Plant Production, 12115–125. 10.1007/s42106-018-0012-4
closed
2018 4
A.M. Yamusa; F.M.Akinseye; 2018. Evaluation of APSIM – Maize model under different sowing dates at Samaru, Nigeria. Journal of Agrometeorology, 20206–210. 10.54386/jam.v20i3.545
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2018 2
Bosire, Emily; Karanja, Fredrick; Ouma, Gilbert; Gitau, Wilson; 2018. Assessment of Climate Change Impact on Sorghum Production in Machakos County. Sustainable Food Production, 325–45. 10.18052/www.scipress.com/SFP.3.25
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2018 6
Pinto, Helena Maria Soares; Vianna, Murilo Dos Santos; Da Costa, Leandro Garcia; Marin, Fábio Ricardo; 2018. Produtividade de cana-de-açúcar no Estado de São Paulo baseada em simulações multimodelos e mudanças climáticas. Agrometeoros, 26. 10.31062/agrom.v26i1.26300
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2018 4
Onwonga, Richard; Madegwa, Yvonne; Shibairo, Solomon; 2018. Simulating effect of climate change on finger millet (Eleusine Coracana) yield under selected tillage practices and soil fertilizers inputs in semi-arid lower Eastern Kenya. Journal of Agricultural Science and Practice, 31–18. 10.31248/JASP2017.036
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2018 1
حیدری بنی, مهران; یزدان‌پناه, حجت‌الله; محنت‌کش, عبدالمحمد; 2018. بررسی اثرات تغییر اقلیم بر عملکرد و مراحل فنولوژیکی کلزا (مطالعۀ موردی: استان چهارمحال و بختیاری). پژوهشهای جغرافیای طبیعی, 50. 10.22059/jphgr.2018.239399.1007101
unknown
2018 0
MacCarthy, D. S.; Agyare, W. A.; Vlek, P. L. G.; 2018. Evaluation of soil properties of the Sudan Savannah ecological zone of Ghana for crop production. Ghana Journal of Agricultural Science, 5295–104. 10.4314/gjas.v52i1.
unknown
2018 1
Hussain, Jamshad; Khaliq, Tasneem; Ahmad, Ashfaq; Akhtar, Javed; Lightfoot, David A.; 2018. Performance of four crop model for simulations of wheat phenology, leaf growth, biomass and yield across planting dates. PLOS ONE, 13e0197546. 10.1371/journal.pone.0197546
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Sparks, Adam; 2018. nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R. Journal of Open Source Software, 31035. 10.21105/joss.01035
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Dias, Henrique Boriolo; Sentelhas, Paulo Cesar; 2018. Drying-Off Periods for Irrigated Sugarcane to Maximize Sucrose Yields Under Brazilian Conditions: DRYING-OFF PERIODS FOR IRRIGATED SUGARCANE. Irrigation and Drainage, 67527–537. 10.1002/ird.2263
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2018 8
رحیمی مقدم, سجاد; کامبوزیا, جعفر; دیهیم فرد, رضا; 2018. ارزیابی ریسک ناشی از تنش گرما در ذرت دانه‌ای استان خوزستان تحت شرایط تغییر اقلیم. تنش‌های محیطی در علوم زراعی, . 10.22077/escs.2017.801.1158
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2018 0
Kheir, A.M.S.; Zoghdan, M.G.; Aiad, M.A.; Rashed, Sahar H.; 2018. OPTIMIZING WHEAT YIELD AND WATER PRODUCTIVITY USING AQUACROP AND APSIM-WHEAT MODELS IN NORTH NILE DELTA, EGYPT. Menoufia Journal of Soil Science, 3177–201. 10.21608/mjss.2018.123625
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2018 0
Iragi, Daniel Muhindo; Mwanjalolo, Jackson Gilbert Majaliwa; Katushabe, Alice Amonding; Masamba, Jean Walangululu; Nkuba, Bossissi; Iragi, Daniel Muhindo; 2017. Projected impact of climate change on rice yield in two agro-ecological zones in South- Kivu, Democratic Republic of Congo. , . 10.22004/AG.ECON.263431
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2017 6
Mohanty, M.; Sinha, N.K.; Patidar, R.K.; Somasundaram, J.; Chaudhary, R.S.; Hati, K.M.; Reddy, K.S.; Prabhakar, M.; Cherukumalli, S.R.; Patra, A.K.; 2017. Assessment of maize (Zea mays L.) productivity and yield gap analysis using simulation modelling in subtropical climate of central India. Journal of Agrometeorology, 19342–345. 10.54386/jam.v19i4.603
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2017 8
دیهیم فرد, رضا; عینی نرگسه, حامد; فرشادی, شبنم; 2017. مدل سازی اثرات تغییر اقلیم بر نیاز آبیاری و کارایی مصرف آب در گندم‌زارهای استان خوزستان. آب و خاک, 31. 10.22067/jsw.v31i4.58046
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2017 0
کامبوزیا, جعفر; رحیمی مقدم, سجاد; دیهیم فرد, رضا; 2017. برآورد پارمترهای مربوط به برخی ارقام غالب ذرت دانه‌ای در کشور به منظور استفاده در مدل مکانیزم‌گرای APSIM. مجله تولید گیاهان زراعی, 10. 10.22069/ejcp.2017.11189.1870
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2017 0
فرشادی, شبنم; دیهیم فرد, رضا; نوری, امید; کامبوزیا, جعفر; 2017. تأثیر افزایش دما و غلظت CO2 ناشی از تغییر اقلیم بر عملکرد گندم در استان خوزستان: یک بررسی همانند‎سازی. علوم گیاهان زراعی ایران, 48. 10.22059/ijfcs.2017.135121.653971
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2017 0
Pardon, Lénaïc; 2017. Modelling of the nitrogen budget of oil palm plantations to help reduce losses to the environment. Case study in Sumatra, Indonesia. , . 10.4225/28/5AB1EE1A9381D
unknown
2017 0
Jin, Zhenong; Prasad, Rishi; Shriver, John; Zhuang, Qianlai; 2017. Crop model- and satellite imagery-based recommendation tool for variable rate N fertilizer application for the US Corn system. Precision Agriculture, 18779–800. 10.1007/s11119-016-9488-z
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2017 0
Chen, Keru; Camberato, James J.; Vyn, Tony J.; 2017. Maize Grain Yield and Kernel Component Relationships to Morphophysiological Traits in Commercial Hybrids Separated by Four Decades. Crop Science, 571641–1657. 10.2135/cropsci2016.06.0540
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2017 36
Mohanty, M.; Sinha, N.K.; Mcdermid, S.P.; Chaudhary, R.S.; Reddy, K.S.; Hati, K.M.; Somasundaram, J.; Lenka, S.; Patidar, R.K.; Prabhakar, M.; Cherukumalli, S.R.; Patra, A.K.; 2017. Climate change impacts vis-a-vis productivity of soybean in vertisol of Madhya Pradesh. Journal of Agrometeorology, 1910–16. 10.54386/jam.v19i1.749
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2017 6
Chen, Chao; Fletcher, Andrew; Lawes, Roger; Berger, Jens; Robertson, Michael; 2017. Modelling phenological and agronomic adaptation options for narrow-leafed lupins in the southern grainbelt of Western Australia. European Journal of Agronomy, 89140–147. 10.1016/j.eja.2017.05.005
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2017 13
Zhang, Yi; Zhao, Yanxia; Lin, Wen-Xiong; 2017. Ensemble yield simulations: Using heat-tolerant and later-maturing varieties to adapt to climate warming. PLOS ONE, 12e0176766. 10.1371/journal.pone.0176766
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2017 15
Hochman, Zvi; Horan, Heidi; Reddy, D. Raji; Sreenivas, Gade; Tallapragada, Chiranjeevi; Adusumilli, Ravindra; Gaydon, Don; Singh, Kamalesh K.; Roth, Christian H.; 2017. Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate. Agricultural Systems, 15054–66. 10.1016/j.agsy.2016.10.001
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2017 33
Palmer, Jeda; Thorburn, Peter J.; Meier, Elizabeth A.; Biggs, Jody S.; Whelan, Brett; Singh, Kanika; Eyre, David N.; 2017. Can management practices provide greenhouse gas abatement in grain farms in New South Wales, Australia?. Crop and Pasture Science, 68390. 10.1071/CP17026
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2017 3
van der Weerden, T.J.; Laurenson, S.; Vogeler, I.; Beukes, P.C.; Thomas, S.M.; Rees, R.M.; Topp, C.F.E.; Lanigan, G.; de Klein, C.A.M.; 2017. Mitigating nitrous oxide and manure-derived methane emissions by removing cows in response to wet soil conditions. Agricultural Systems, 156126–138. 10.1016/j.agsy.2017.06.010
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2017 15
Meier, Elizabeth A.; Thorburn, Peter J.; Kragt, Marit E.; Dumbrell, Nikki P.; Biggs, Jody S.; Hoyle, Frances C.; van Rees, Harm; 2017. Greenhouse gas abatement on southern Australian grains farms: B iophysical potential and financial impacts. Agricultural Systems, 155147–157. 10.1016/j.agsy.2017.04.012
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2017 19
Solomon, K. F.; Chauhan, Y.; Zeppa, A.; 2017. Risks of yield loss due to variation in optimum density for different maize genotypes under variable environmental conditions. Journal of Agronomy and Crop Science, 203519–527. 10.1111/jac.12213
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2017 28
Wunsch, E. M.; Bell, L. W.; Bell, M. J.; 2017. Can legumes provide greater benefits than millet as a spring cover crop in southern Queensland farming systems?. Crop and Pasture Science, 68746. 10.1071/CP17223
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2017 18
Zhao, Zhigan; Verburg, Kirsten; Huth, Neil; 2017. Modelling sugarcane nitrogen uptake patterns to inform design of controlled release fertiliser for synchrony of N supply and demand. Field Crops Research, 21351–64. 10.1016/j.fcr.2017.08.001
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2017 29
Pardon, Lénaïc; Huth, Neil Ian; Nelson, Paul Netelenbos; Banabas, Murom; Gabrielle, Benoît; Bessou, Cécile; 2017. Yield and nitrogen losses in oil palm plantations: Main drivers and management trade-offs determined using simulation. Field Crops Research, 21020–32. 10.1016/j.fcr.2017.05.016
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2017 34
Aslam, Muhammad A.; Ahmed, Mukhtar; Stöckle, Claudio O.; Higgins, Stewart S.; Hassan, Fayyaz ul; Hayat, Rifat; 2017. Can Growing Degree Days and Photoperiod Predict Spring Wheat Phenology?. Frontiers in Environmental Science, 557. 10.3389/fenvs.2017.00057
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2017 77
Whitbread, Anthony M.; Hoffmann, Munir P.; Davoren, C. William; Mowat, Damian; Baldock, Jeffrey A.; 2017. Measuring and Modeling the Water Balance in Low-Rainfall Cropping Systems. Transactions of the ASABE, 602097–2110. 10.13031/trans.12581
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2017 11
Chen, Chao; Smith, Andrew; Ward, Phil; Fletcher, Andrew; Lawes, Roger; Norman, Hayley; 2017. Modelling the comparative growth, water use and productivity of the perennial legumes, tedera (Bituminaria bituminosa var. albomarginata) and lucerne (Medicago sativa) in dryland mixed farming systems. Crop and Pasture Science, 68643. 10.1071/CP17131
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2017 4
He, Di; Wang, Enli; Wang, Jing; Lilley, Julianne M.; 2017. Genotype × environment × management interactions of canola across China: A simulation study. Agricultural and Forest Meteorology, 247424–433. 10.1016/j.agrformet.2017.08.027
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2017 30
He, Di; Wang, Enli; Wang, Jing; Lilley, Julianne; Luo, Zhongkui; Pan, Xuebiao; Pan, Zhihua; Yang, Ning; 2017. Uncertainty in canola phenology modelling induced by cultivar parameterization and its impact on simulated yield. Agricultural and Forest Meteorology, 232163–175. 10.1016/j.agrformet.2016.08.013
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2017 42
Amarasingha, R.P.R.K.; Suriyagoda, L.D.B.; Marambe, B.; Rathnayake, W.M.U.K.; Gaydon, D.S.; Galagedara, L.W.; Punyawardena, R.; Silva, G.L.L.P.; Nidumolu, U.; Howden, M.; 2017. Improving water productivity in moisture-limited rice-based cropping systems through incorporation of maize and mungbean: A modelling approach. Agricultural Water Management, 189111–122. 10.1016/j.agwat.2017.05.002
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2017 36
Sexton, J.; Everingham, Y.L.; Inman-Bamber, G.; 2017. A global sensitivity analysis of cultivar trait parameters in a sugarcane growth model for contrasting production environments in Queensland, Australia. European Journal of Agronomy, 8896–105. 10.1016/j.eja.2015.11.009
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2017 39
Vogeler, Iris; Vibart, Ronaldo; Cichota, Rogerio; 2017. Potential benefits of diverse pasture swards for sheep and beef farming. Agricultural Systems, 15478–89. 10.1016/j.agsy.2017.03.015
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2017 12
Mushtaq, Shahbaz; An-Vo, Duc-Anh; Christopher, Mandy; Zheng, Bangyou; Chenu, Karine; Chapman, Scott C.; Christopher, Jack T.; Stone, Roger C.; Frederiks, Troy M.; Alam, G.M. Monirul; 2017. Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance. Field Crops Research, 21375–88. 10.1016/j.fcr.2017.07.021
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2017 18
Magaia, E.; Famba, S.; Wesström, I.; Brito, R.; Joel, A.; 2017. Modelling maize yield response to plant density and water and nitrogen supply in a semi-arid region. Field Crops Research, 205170–181. 10.1016/j.fcr.2016.12.025
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2017 21
Kabir, Jahangir; Cramb, Rob; Gaydon, Donald S.; Roth, Christian H.; 2017. Bio-economic evaluation of cropping systems for saline coastal Bangladesh: II. Economic viability in historical and future environments. Agricultural Systems, 155103–115. 10.1016/j.agsy.2017.05.002
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2017 31
Liu, De Li; O’Leary, Garry J.; Christy, Brendan; Macadam, Ian; Wang, Bin; Anwar, Muhuddin R.; Weeks, Anna; 2017. Effects of different climate downscaling methods on the assessment of climate change impacts on wheat cropping systems. Climatic Change, 144687–701. 10.1007/s10584-017-2054-5
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2017 46
Smethurst, Philip J.; Huth, Neil I.; Masikati, Patricia; Sileshi, Gudeta W.; 2017. Accurate crop yield predictions from modelling tree-crop interactions in gliricidia-maize agroforestry. Agricultural Systems, 15570–77. 10.1016/j.agsy.2017.04.008
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2017 67
Charles, B. Chisanga; Elijah, Phiri; Vernon, R. N. Chinene; 2017. Climate change impact on maize (Zea mays L.) yield using crop simulation and statistical downscaling models: A review. Scientific Research and Essays, 12167–187. 10.5897/SRE2017.6521
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2017 21
Jiang, Rui; Wang, Tong-tong; Shao, Jin; Guo, Sheng; Zhu, Wei; Yu, Ya-jun; Chen, Shao-lin; Hatano, Ryusuke; 2017. Modeling the biomass of energy crops: Descriptions, strengths and prospective. Journal of Integrative Agriculture, 161197–1210. 10.1016/S2095-3119(16)61592-7
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2017 25
Vogeler, I.; Cichota, R.; 2017. Development of an algorithm for relating pasture nitrogen status to yield response curves. Grass and Forage Science, 72734–742. 10.1111/gfs.12284
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2017 4
Msongaleli, Barnabas M.; Tumbo, S. D.; Kihupi, N. I.; Rwehumbiza, Filbert B.; 2017. Performance of Sorghum Varieties under Variable Rainfall in Central Tanzania. International Scholarly Research Notices, 20171–10. 10.1155/2017/2506946
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2017 31
Zull, A. F.; Owens, J.; Bourgault, M.; Johnson, B.; Peck, G.; Christodoulou, N.; 2017. Mixed farming diversification may be costly: southern Queensland case study. Crop and Pasture Science, 68378. 10.1071/CP16193
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2017 3
Zeleke, Ketema Tilahun; 2017. Fallow management increases soil water and nitrogen storage. Agricultural Water Management, 18612–20. 10.1016/j.agwat.2017.02.011
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2017 16
Singh, Vijaya; Nguyen, Chuc T.; McLean, Greg; Chapman, Scott C.; Zheng, Bangyou; van Oosterom, Erik J.; Hammer, Graeme L.; 2017. Quantifying high temperature risks and their potential effects on sorghum production in Australia. Field Crops Research, 21177–88. 10.1016/j.fcr.2017.06.012
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2017 29
Ahmed, Mukhtar; Stockle, Claudio O.; Aslam, Muhammad Umair; Shehzad, Armghan; Iqbal, Muhammad; Asim, Muhammad; Aslam, M.; 2017. QTL Modelling: An Adaptation Option in Spring Wheat for Drought Stress. , 113–136. [18]
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2017 5
Ahmed, Mukhtar; Stockle, Claudio O.; Aslam, Muhammad Aqeel; Hayat, Riffat; 2017. Modeling Nitrogen Use Efficiency Under Changing Climate. , 71–90. [19]
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2017 7
Khaembah, E.N.; Brown, H.E.; Zyskowski, R.; Chakwizira, E.; de Ruiter, J.M.; Teixeira, E.I.; 2017. Development of a fodder beet potential yield model in the next generation APSIM. Agricultural Systems, 15823–38. 10.1016/j.agsy.2017.08.005
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2017 15
Vogeler, Iris; Cichota, Rogerio; Snow, Val; Thomas, Steve; Lloyd-West, Catherine; 2017. Effects of soil heterogeneity on the uncertainty in modelling the fate of urinary nitrogen deposited during winter forage grazing. Soil and Tillage Research, 16981–91. 10.1016/j.still.2017.01.014
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2017 8
Ahmed, Mukhtar; Stockle, Claudio O.; Ijaz, Waqas; Asim, Muhammad; Aslam, M.; 2017. Models to Study Phosphorous Dynamics Under Changing Climate. , 371–386. [20]
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2017 10
Kodur, S.; 2017. Improving the prediction of soil evaporation for different soil types under dryland cropping. Agricultural Water Management, 193131–141. 10.1016/j.agwat.2017.07.016
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2017 12
Araya, A.; Kisekka, I.; Girma, A.; Hadgu, K. M.; Tegebu, F. N.; Kassa, A. H.; Ferreira-Filho, H. R.; Beltrão, N. E.; Afewerk, A.; Abadi, B.; Tsehaye, Y.; Martorano, L. G.; Abraha, A. Z.; 2017. The challenges and opportunities for wheat production under future climate in Northern Ethiopia. The Journal of Agricultural Science, 155379–393. 10.1017/S0021859616000460
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2017 20
Berhe, A.A.; Kisekka, I.; Prasad, P.V.V.; Holman, J.; Foster, A.J.; Lollato, R.; 2017. Assessing Wheat Yield, Biomass, and Water Productivity Responses to Growth Stage Based Irrigation Water Allocation. Transactions of the ASABE, 60107–121. 10.13031/trans.11883
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2017 17
Xiao, Dengpan; Qi, Yongqing; Li, Zhiqiang; Wang, Rende; Moiwo, Juana P.; Liu, Fengshan; 2017. Impact of thermal time shift on wheat phenology and yield under warming climate in the Huang-Huai-Hai Plain, China. Frontiers of Earth Science, 11148–155. 10.1007/s11707-016-0584-1
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2017 12
Zhao, Junfang; Pu, Feiyu; Li, Yunpeng; Xu, Jingwen; Li, Ning; Zhang, Yi; Guo, Jianping; Pan, Zhihua; Ma, Wujun; 2017. Assessing the combined effects of climatic factors on spring wheat phenophase and grain yield in Inner Mongolia, China. PLOS ONE, 12e0185690. 10.1371/journal.pone.0185690
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2017 26
Chauhan, Yashvir; Allard, Samantha; Williams, Rex; Williams, Brett; Mundree, Sagadevan; Chenu, Karine; Rachaputi, N.C.; 2017. Characterisation of chickpea cropping systems in Australia for major abiotic production constraints. Field Crops Research, 204120–134. 10.1016/j.fcr.2017.01.008
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2017 35
Seyoum, Solomon; Chauhan, Yash; Rachaputi, Rao; Fekybelu, Solomon; Prasanna, Boddupalli; 2017. Characterising production environments for maize in eastern and southern Africa using the APSIM Model. Agricultural and Forest Meteorology, 247445–453. 10.1016/j.agrformet.2017.08.023
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2017 25
Okoro, Stanley U.; Schickhoff, U.; Boehner, J.; Schneider, U.A.; Huth, N.I.; 2017. Climate impacts on palm oil yields in the Nigerian Niger Delta. European Journal of Agronomy, 8538–50. 10.1016/j.eja.2017.02.002
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2017 23
Hussein, E.; Thomas, D. T.; Bell, L. W.; Blache, D.; 2017. Grazing winter and spring wheat crops improves the profitability of prime lamb production in mixed farming systems of Western Australia. Animal Production Science, 572082. 10.1071/AN15850
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2017 8
Togliatti, Kaitlin; Archontoulis, Sotirios V.; Dietzel, Ranae; Puntel, Laila; VanLoocke, Andy; 2017. How does inclusion of weather forecasting impact in-season crop model predictions?. Field Crops Research, 214261–272. 10.1016/j.fcr.2017.09.008
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2017 54
Bourguignon, Marie; Archontoulis, Sotirios; Moore, Kenneth; Lenssen, Andrew; 2017. A model for evaluating production and environmental performance of kenaf in rotation with conventional row crops. Industrial Crops and Products, 100218–227. 10.1016/j.indcrop.2017.02.026
closed
2017 5
Hoffmann, M. P.; Llewellyn, R. S.; Davoren, C. W.; Whitbread, A. M.; 2017. Assessing the Potential for Zone-Specific Management of Cereals in Low-Rainfall South-Eastern Australia: Combining On-Farm Results and Simulation Analysis. Journal of Agronomy and Crop Science, 20314–28. 10.1111/jac.12159
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2017 14
Ndoli, Alain; Baudron, Frédéric; Schut, Antonius G.T.; Mukuralinda, Athanase; Giller, Ken E; 2017. Disentangling the positive and negative effects of trees on maize performance in smallholdings of Northern Rwanda. Field Crops Research, 2131–11. 10.1016/j.fcr.2017.07.020
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2017 29
Gaydon, D.S.; Wang, E.; Poulton, P.L.; Ahmad, B.; Ahmed, F.; Akhter, S.; Ali, I.; Amarasingha, R.; Chaki, A.K.; Chen, C.; Choudhury, B.U.; Darai, R.; Das, A.; Hochman, Z.; Horan, H.; Hosang, E.Y.; Kumar, P. Vijaya; Khan, A.S.M.M.R.; Laing, A.M.; Liu, L.; Malaviachichi, M.A.P.W.K.; Mohapatra, K.P.; Muttaleb, M.A.; Power, B.; Radanielson, A.M.; Rai, G.S.; Rashid, M.H.; Rathanayake, W.M.U.K.; Sarker, M.M.R.; Sena, D.R.; Shamim, M.; Subash, N.; Suriadi, A.; Suriyagoda, L.D.B.; Wang, G.; Wang, J.; Yadav, R.K.; Roth, C.H.; 2017. Evaluation of the APSIM model in cropping systems of Asia. Field Crops Research, 20452–75. 10.1016/j.fcr.2016.12.015
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2017 221
Nuttall, J.G.; O'Leary, G.J.; Panozzo, J.F.; Walker, C.K.; Barlow, K.M.; Fitzgerald, G.J.; 2017. Models of grain quality in wheat—A review. Field Crops Research, 202136–145. 10.1016/j.fcr.2015.12.011
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2017 257
Tao, Fulu; Rötter, Reimund P.; Palosuo, Taru; Díaz-Ambrona, C.G.H.; Mínguez, M. Inés; Semenov, Mikhail A.; Kersebaum, Kurt Christian; Nendel, Claas; Cammarano, Davide; Hoffmann, Holger; Ewert, Frank; Dambreville, Anaelle; Martre, Pierre; Rodríguez, Lucía; Ruiz-Ramos, Margarita; Gaiser, Thomas; Höhn, Jukka G.; Salo, Tapio; Ferrise, Roberto; Bindi, Marco; Schulman, Alan H.; 2017. Designing future barley ideotypes using a crop model ensemble. European Journal of Agronomy, 82144–162. 10.1016/j.eja.2016.10.012
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2017 114
Rigolot, C.; de Voil, P.; Douxchamps, S.; Prestwidge, D.; Van Wijk, M.; Thornton, P.K.; Rodriguez, D.; Henderson, B.; Medina, D.; Herrero, M.; 2017. Interactions between intervention packages, climatic risk, climate change and food security in mixed crop–livestock systems in Burkina Faso. Agricultural Systems, 151217–224. 10.1016/j.agsy.2015.12.017
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2017 63
Vanuytrecht, Eline; Thorburn, Peter J.; 2017. Responses to atmospheric CO 2 concentrations in crop simulation models: a review of current simple and semicomplex representations and options for model development. Global Change Biology, 231806–1820. 10.1111/gcb.13600
other-oa · acceptedVersion
2017 49
O'Grady, Michael J.; O'Hare, Gregory M.P.; 2017. Modelling the smart farm. Information Processing in Agriculture, 4179–187. 10.1016/j.inpa.2017.05.001
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2017 174
Ojeda, Jonathan J.; Volenec, Jeffrey J.; Brouder, Sylvie M.; Caviglia, Octavio P.; Agnusdei, Mónica G.; 2017. Evaluation of Agricultural Production Systems Simulator as yield predictor of Panicum virgatum and Miscanthus x giganteus in several US environments. GCB Bioenergy, 9796–816. 10.1111/gcbb.12384
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2017 57
Brilli, Lorenzo; Bechini, Luca; Bindi, Marco; Carozzi, Marco; Cavalli, Daniele; Conant, Richard; Dorich, Cristopher D.; Doro, Luca; Ehrhardt, Fiona; Farina, Roberta; Ferrise, Roberto; Fitton, Nuala; Francaviglia, Rosa; Grace, Peter; Iocola, Ileana; Klumpp, Katja; Léonard, Joël; Martin, Raphaël; Massad, Raia Silvia; Recous, Sylvie; Seddaiu, Giovanna; Sharp, Joanna; Smith, Pete; Smith, Ward N.; Soussana, Jean-Francois; Bellocchi, Gianni; 2017. Review and analysis of strengths and weaknesses of agro-ecosystem models for simulating C and N fluxes. Science of The Total Environment, 598445–470. 10.1016/j.scitotenv.2017.03.208
cc-by-sa · submittedVersion
2017 197
Flohr, B.M.; Hunt, J.R.; Kirkegaard, J.A.; Evans, J.R.; 2017. Water and temperature stress define the optimal flowering period for wheat in south-eastern Australia. Field Crops Research, 209108–119. 10.1016/j.fcr.2017.04.012
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2017 161
Hochman, Zvi; Horan, Heidi; Reddy, D. Raji; Sreenivas, G.; Tallapragada, Chiranjeevi; Adusumilli, Ravindra; Gaydon, Donald S.; Laing, Alison; Kokic, Philip; Singh, Kamalesh K.; Roth, Christian H.; 2017. Smallholder farmers managing climate risk in India: 2. Is it climate-smart?. Agricultural Systems, 15161–72. 10.1016/j.agsy.2016.11.007
closed
2017 35
Jin, Zhenong; Prasad, Rishi; Shriver, John; Zhuang, Qianlai; 2017. Crop model- and satellite imagery-based recommendation tool for variable rate N fertilizer application for the US Corn system. Precision Agriculture, 18779–800. 10.1007/s11119-016-9488-z
closed
2017 62
Bai, Huizi; Tao, Fulu; 2017. Sustainable intensification options to improve yield potential and eco-efficiency for rice-wheat rotation system in China. Field Crops Research, 21189–105. 10.1016/j.fcr.2017.06.010
closed
2017 56
Teixeira, Edmar I.; Zhao, Gang; Ruiter, John de; Brown, Hamish; Ausseil, Anne-Gaelle; Meenken, Esther; Ewert, Frank; 2017. The interactions between genotype, management and environment in regional crop modelling. European Journal of Agronomy, 88106–115. 10.1016/j.eja.2016.05.005
closed
2017 51
Akinseye, F.M; Adam, M.; Agele, S.O; Hoffmann, M.P.; Traore, P.C.S; Whitbread, A.M.; 2017. Assessing crop model improvements through comparison of sorghum ( sorghum bicolor L. moench) simulation models: A case study of West African varieties. Field Crops Research, 20119–31. 10.1016/j.fcr.2016.10.015
cc-by · submittedVersion
2017 49
Guan, Kaiyu; Sultan, Benjamin; Biasutti, Michela; Baron, Christian; Lobell, David B.; 2017. Assessing climate adaptation options and uncertainties for cereal systems in West Africa. Agricultural and Forest Meteorology, 232291–305. 10.1016/j.agrformet.2016.07.021
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2017 83
Liu, De Li; Zeleke, Ketema Tilahun; Wang, Bin; Macadam, Ian; Scott, Fiona; Martin, Robert John; 2017. Crop residue incorporation can mitigate negative climate change impacts on crop yield and improve water use efficiency in a semiarid environment. European Journal of Agronomy, 8551–68. 10.1016/j.eja.2017.02.004
closed
2017 78
Gobbett, D. L.; Hochman, Z.; Horan, H.; Navarro Garcia, J.; Grassini, P.; Cassman, K. G.; 2017. Yield gap analysis of rainfed wheat demonstrates local to global relevance. The Journal of Agricultural Science, 155282–299. 10.1017/S0021859616000381
closed
2017 54
Jin, Zhenong; Azzari, George; Lobell, David B.; 2017. Improving the accuracy of satellite-based high-resolution yield estimation: A test of multiple scalable approaches. Agricultural and Forest Meteorology, 247207–220. 10.1016/j.agrformet.2017.08.001
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2017 124
Battisti, Rafael; Sentelhas, Paulo C.; Boote, Kenneth J.; 2017. Inter-comparison of performance of soybean crop simulation models and their ensemble in southern Brazil. Field Crops Research, 20028–37. 10.1016/j.fcr.2016.10.004
closed
2017 84
Ahmed, Mukhtar; Stöckle, Claudio O.; Nelson, Roger; Higgins, Stewart; 2017. Assessment of Climate Change and Atmospheric CO2 Impact on Winter Wheat in the Pacific Northwest Using a Multimodel Ensemble. Frontiers in Ecology and Evolution, 551. 10.3389/fevo.2017.00051
cc-by · publishedVersion
2017 28
Sennhenn, Anne; Njarui, Donald M. G.; Maass, Brigitte L.; Whitbread, Anthony M.; 2017. Exploring Niches for Short-Season Grain Legumes in Semi-Arid Eastern Kenya — Coping with the Impacts of Climate Variability. Frontiers in Plant Science, 8699. 10.3389/fpls.2017.00699
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2017 23
He, Di; Wang, Enli; Wang, Jing; Robertson, Michael J.; 2017. Data requirement for effective calibration of process-based crop models. Agricultural and Forest Meteorology, 234136–148. 10.1016/j.agrformet.2016.12.015
closed
2017 70
Dias, Henrique Boriolo; Sentelhas, Paulo Cesar; 2017. Evaluation of three sugarcane simulation models and their ensemble for yield estimation in commercially managed fields. Field Crops Research, 213174–185. 10.1016/j.fcr.2017.07.022
cc-by-nc-nd · publishedVersion
2017 70
Truong, Sandra K.; McCormick, Ryan F.; Mullet, John E.; 2017. Bioenergy Sorghum Crop Model Predicts VPD-Limited Transpiration Traits Enhance Biomass Yield in Water-Limited Environments. Frontiers in Plant Science, 8. 10.3389/fpls.2017.00335
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2017 28
Iocola, Ileana; Bassu, Simona; Farina, Roberta; Antichi, Daniele; Basso, Bruno; Bindi, Marco; Dalla Marta, Anna; Danuso, Francesco; Doro, Luca; Ferrise, Roberto; Giglio, Luisa; Ginaldi, Fabrizio; Mazzoncini, Marco; Mula, Laura; Orsini, Roberto; Corti, Giuseppe; Pasqui, Massimiliano; Seddaiu, Giovanna; Tomozeiu, Rodica; Ventrella, Domenico; Villani, Giulia; Roggero, Pier Paolo; 2017. Can conservation tillage mitigate climate change impacts in Mediterranean cereal systems? A soil organic carbon assessment using long term experiments. European Journal of Agronomy, 9096–107. 10.1016/j.eja.2017.07.011
cc-by-nc-nd · submittedVersion
2017 39
Jin, Zhenong; Zhuang, Qianlai; Wang, Jiali; Archontoulis, Sotirios V.; Zobel, Zachary; Kotamarthi, Veerabhadra R.; 2017. The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO 2. Global Change Biology, 232687–2704. 10.1111/gcb.13617
closed
2017 156
Mielenz, Henrike; Thorburn, Peter J.; Harris, Robert H.; Grace, Peter R.; Officer, Sally J.; 2017. Mitigating N2O emissions from cropping systems after conversion from pasture − a modelling approach. European Journal of Agronomy, 82254–267. 10.1016/j.eja.2016.06.007
closed
2017 18
Xiao, Dengpan; Shen, Yanjun; Qi, Yongqing; Moiwo, Juana P.; Min, Leilei; Zhang, Yucui; Guo, Ying; Pei, Hongwei; 2017. Impact of alternative cropping systems on groundwater use and grain yields in the North China Plain Region. Agricultural Systems, 153109–117. 10.1016/j.agsy.2017.01.018
closed
2017 97
Palmer, Jeda; Thorburn, Peter J.; Biggs, Jody S.; Dominati, Estelle J.; Probert, Merv E.; Meier, Elizabeth A.; Huth, Neil I.; Dodd, Mike; Snow, Val; Larsen, Joshua R.; Parton, William J.; 2017. Nitrogen Cycling from Increased Soil Organic Carbon Contributes Both Positively and Negatively to Ecosystem Services in Wheat Agro-Ecosystems. Frontiers in Plant Science, 8731. 10.3389/fpls.2017.00731
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2017 65
Traore, Bouba; Descheemaeker, Katrien; van Wijk, Mark T.; Corbeels, Marc; Supit, Iwan; Giller, Ken E.; 2017. Modelling cereal crops to assess future climate risk for family food self-sufficiency in southern Mali. Field Crops Research, 201133–145. 10.1016/j.fcr.2016.11.002
· publishedVersion
2017 69
Xing, Hongtao; Liu, De Li; Li, Guangdi; Wang, Bin; Anwar, Muhuddin Rajin; Crean, Jason; Lines-Kelly, Rebecca; Yu, Qiang; 2017. Incorporating grain legumes in cereal-based cropping systems to improve profitability in southern New South Wales, Australia. Agricultural Systems, 154112–123. 10.1016/j.agsy.2017.03.010
closed
2017 26
Montgomery, Stephanie C.; Martin, Robert J.; Guppy, Chris; Wright, Graeme C.; Flavel, Richard J.; Phan, Sophanara; Im, Sophoeun; Touch, Van; Andersson, Karl; Tighe, Matthew K.; 2016. Crop choice and planting time for upland crops in Northwest Cambodia. Field Crops Research, 198290–302. 10.1016/j.fcr.2016.07.002
closed
2016 13
Liu, Xiuwei; Sun, Hongyong; Feike, Til; Zhang, Xiying; Shao, Liwei; Chen, Suying; Hui, Dafeng; 2016. Assessing the Impact of Air Pollution on Grain Yield of Winter Wheat - A Case Study in the North China Plain. PLOS ONE, 11e0162655. 10.1371/journal.pone.0162655
cc-by · publishedVersion
2016 19
Dietzel, Ranae; Liebman, Matt; Ewing, Robert; Helmers, Matt; Horton, Robert; Jarchow, Meghann; Archontoulis, Sotirios; 2016. How efficiently do corn- and soybean-based cropping systems use water? A systems modeling analysis. Global Change Biology, 22666–681. 10.1111/gcb.13101
closed
2016 96
Casadebaig, Pierre; Zheng, Bangyou; Chapman, Scott; Huth, Neil; Faivre, Robert; Chenu, Karine; Wu, Rongling; 2016. Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis. PLOS ONE, 11e0146385. 10.1371/journal.pone.0146385
cc-by · publishedVersion
2016 96
Puntel, Laila A.; Sawyer, John E.; Barker, Daniel W.; Dietzel, Ranae; Poffenbarger, Hanna; Castellano, Michael J.; Moore, Kenneth J.; Thorburn, Peter; Archontoulis, Sotirios V.; 2016. Modeling Long-Term Corn Yield Response to Nitrogen Rate and Crop Rotation. Frontiers in Plant Science, 7. 10.3389/fpls.2016.01630
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2016 141
van Oort, P.A.J.; Wang, G.; Vos, J.; Meinke, H.; Li, B.G.; Huang, J.K.; van der Werf, W.; 2016. Towards groundwater neutral cropping systems in the Alluvial Fans of the North China Plain. Agricultural Water Management, 165131–140. 10.1016/j.agwat.2015.11.005
· acceptedVersion
2016 71
Humphreys, E.; Gaydon, D.S.; Eberbach, P.L.; 2016. Evaluation of the effects of mulch on optimum sowing date and irrigation management of zero till wheat in central Punjab, India using APSIM. Field Crops Research, 19783–96. 10.1016/j.fcr.2016.08.016
cc-by · publishedVersion
2016 78
Jin, Zhenong; Zhuang, Qianlai; Tan, Zeli; Dukes, Jeffrey S.; Zheng, Bangyou; Melillo, Jerry M.; 2016. Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches. Global Change Biology, 223112–3126. 10.1111/gcb.13376
closed
2016 80
Ahuja, Lajpat R.; Ma, Liwang; Howell, Terry A; 2016. Agricultural System Models in Field Research and Technology Transfer. , . [21]
unknown
2016 99
Everingham, Yvette; Sexton, Justin; Skocaj, Danielle; Inman-Bamber, Geoff; 2016. Accurate prediction of sugarcane yield using a random forest algorithm. Agronomy for Sustainable Development, 3627. 10.1007/s13593-016-0364-z
· publishedVersion
2016 17
Xiao, Dengpan; Qi, Yongqing; Shen, Yanjun; Tao, Fulu; Moiwo, Juana P.; Liu, Jianfeng; Wang, Rede; Zhang, He; Liu, Fengshan; 2016. Impact of warming climate and cultivar change on maize phenology in the last three decades in North China Plain. Theoretical and Applied Climatology, 124653–661. 10.1007/s00704-015-1450-x
closed
2016 74
Meier, Elizabeth A.; Thorburn, Peter J.; 2016. Long Term Sugarcane Crop Residue Retention Offers Limited Potential to Reduce Nitrogen Fertilizer Rates in Australian Wet Tropical Environments. Frontiers in Plant Science, 7. 10.3389/fpls.2016.01017
cc-by · publishedVersion
2016 50
Godde, Cécile M.; Thorburn, Peter J.; Biggs, Jody S.; Meier, Elizabeth A.; 2016. Understanding the Impacts of Soil, Climate, and Farming Practices on Soil Organic Carbon Sequestration: A Simulation Study in Australia. Frontiers in Plant Science, 7. 10.3389/fpls.2016.00661
cc-by · publishedVersion
2016 46
Ahmed, Mukhtar; Akram, Mustazhar Nasib; Asim, Muhammad; Aslam, Muhammad; Hassan, Fayyaz-ul; Higgins, Stewart; Stöckle, Claudio O.; Hoogenboom, Gerrit; 2016. Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application. Computers and Electronics in Agriculture, 123384–401. 10.1016/j.compag.2016.03.015
closed
2016 129
Smith, Alex; Snapp, Sieglinde; Dimes, John; Gwenambira, Chiwimbo; Chikowo, Regis; 2016. Doubled-up legume rotations improve soil fertility and maintain productivity under variable conditions in maize-based cropping systems in Malawi. Agricultural Systems, 145139–149. 10.1016/j.agsy.2016.03.008
cc-by-nc-nd · publishedVersion
2016 110
Sun, Hongyong; Zhang, Xiying; Wang, Enli; Chen, Suying; Shao, Liwei; Qin, Wenli; 2016. Assessing the contribution of weather and management to the annual yield variation of summer maize using APSIM in the North China Plain. Field Crops Research, 19494–102. 10.1016/j.fcr.2016.05.007
closed
2016 67
Vogeler, Iris; Cichota, Rogerio; Beautrais, Josef; 2016. Linking Land Use Capability classes and APSIM to estimate pasture growth for regional land use planning. Soil Research, 5494. 10.1071/SR15018
cc-by · submittedVersion
2016 10
Liu, Bing; Asseng, Senthold; Liu, Leilei; Tang, Liang; Cao, Weixing; Zhu, Yan; 2016. Testing the responses of four wheat crop models to heat stress at anthesis and grain filling. Global Change Biology, 221890–1903. 10.1111/gcb.13212
closed
2016 140
Martinez-Feria, Rafael A.; Dietzel, Ranae; Liebman, Matt; Helmers, Matthew J.; Archontoulis, Sotirios V.; 2016. Rye cover crop effects on maize: A system-level analysis. Field Crops Research, 196145–159. 10.1016/j.fcr.2016.06.016
closed
2016 127
Bai, Huizi; Tao, Fulu; Xiao, Dengpan; Liu, Fengshan; Zhang, He; 2016. Attribution of yield change for rice-wheat rotation system in China to climate change, cultivars and agronomic management in the past three decades. Climatic Change, 135539–553. 10.1007/s10584-015-1579-8
cc-by-nc-sa · submittedVersion
2016 76
Vogeler, Iris; Mackay, Alec; Vibart, Ronaldo; Rendel, John; Beautrais, Josef; Dennis, Samuel; 2016. Effect of inter-annual variability in pasture growth and irrigation response on farm productivity and profitability based on biophysical and farm systems modelling. Science of The Total Environment, 565564–575. 10.1016/j.scitotenv.2016.05.006
cc-by · submittedVersion
2016 14
Kassie, Belay T.; Asseng, Senthold; Porter, Cheryl H.; Royce, Frederick S.; 2016. Performance of DSSAT-Nwheat across a wide range of current and future growing conditions. European Journal of Agronomy, 8127–36. 10.1016/j.eja.2016.08.012
· publishedVersion
2016 90
Xiao, Dengpan; Tao, Fulu; Shen, Yanjun; Qi, Yongqing; 2016. Combined impact of climate change, cultivar shift, and sowing date on spring wheat phenology in Northern China. Journal of Meteorological Research, 30820–831. 10.1007/s13351-016-5108-0
cc-by-nc-sa · submittedVersion
2016 26
Li, Ting-Ting; Zhang, Wei; Wang, Jun; Zhang, Wen; Wang, Guo-Cheng; Xu, Jing-Jing; Zhang, Qing; 2016. Parameterizing an agricultural production model for simulating nitrous oxide emissions in a wheat–maize system in the North China Plain. Atmospheric and Oceanic Science Letters, 9403–410. 10.1080/16742834.2016.1230002
cc-by · publishedVersion
2016 6
Yang, Yanmin; Liu, De Li; Anwar, Muhuddin Rajin; O’Leary, Garry; Macadam, Ian; Yang, Yonghui; 2016. Water use efficiency and crop water balance of rainfed wheat in a semi-arid environment: sensitivity of future changes to projected climate changes and soil type. Theoretical and Applied Climatology, 123565–579. 10.1007/s00704-015-1376-3
closed
2016 54
Kirkegaard, J. A.; Lilley, J. M.; Brill, R. D.; Sprague, S. J.; Fettell, N. A.; Pengilley, G. C.; 2016. Re-evaluating sowing time of spring canola (Brassica napus L.) in south-eastern Australia—how early is too early?. Crop and Pasture Science, 67381. 10.1071/CP15282
closed
2016 50
Araujo, Julio A.; Abiodun, Babatunde J.; Crespo, Olivier; 2016. Impacts of drought on grape yields in Western Cape, South Africa. Theoretical and Applied Climatology, 123117–130. 10.1007/s00704-014-1336-3
other-oa · submittedVersion
2016 71
Robertson, M. J.; Lilley, J. M.; 2016. Simulation of growth, development and yield of canola (Brassica napus) in APSIM. Crop and Pasture Science, 67332. 10.1071/CP15267
closed
2016 64
Akkermans, R. A. D.; Stuermer, A.; Delfs, J. W.; 2016. Active Flow Control for Interaction Noise Reduction of Contra-Rotating Open Rotors. AIAA Journal, 541413–1423. 10.2514/1.J053756
closed
2016 35
Salo, T. J.; Palosuo, T.; Kersebaum, K. C.; Nendel, C.; Angulo, C.; Ewert, F.; Bindi, M.; Calanca, P.; Klein, T.; Moriondo, M.; Ferrise, R.; Olesen, J. E.; Patil, R. H.; Ruget, F.; Takáč, J.; Hlavinka, P.; Trnka, M.; Rötter, R. P.; 2016. Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization. The Journal of Agricultural Science, 1541218–1240. 10.1017/S0021859615001124
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2016 77
Basche, Andrea D.; Archontoulis, Sotirios V.; Kaspar, Thomas C.; Jaynes, Dan B.; Parkin, Timothy B.; Miguez, Fernando E.; 2016. Simulating long-term impacts of cover crops and climate change on crop production and environmental outcomes in the Midwestern United States. Agriculture, Ecosystems & Environment, 21895–106. 10.1016/j.agee.2015.11.011
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2016 210
, ; 2016. Sensitivity of Maize Yield Potential to Regional Climate in the Southwestern U.S.. Transactions of the ASABE, 591745–1757. 10.13031/trans.59.11584
· submittedVersion
2016 1
Casadebaig, Pierre; Zheng, Bangyou; Chapman, Scott; Huth, Neil; Faivre, Robert; Chenu, Karine; Wu, Rongling; 2016. Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis. PLOS ONE, 11e0146385. 10.1371/journal.pone.0146385
cc-by · publishedVersion
2016 96
Luedeling, Eike; Smethurst, Philip J.; Baudron, Frédéric; Bayala, Jules; Huth, Neil I.; van Noordwijk, Meine; Ong, Chin K.; Mulia, Rachmat; Lusiana, Betha; Muthuri, Catherine; Sinclair, Fergus L.; 2016. Field-scale modeling of tree–crop interactions: Challenges and development needs. Agricultural Systems, 14251–69. 10.1016/j.agsy.2015.11.005
cc-by · publishedVersion
2016 157
Mohanty, M.; Sammi Reddy, K.; Probert, M. E.; Dalal, R. C.; Sinha, Nishant K.; Subba Rao, A.; Menzies, N. W.; 2016. Efficient Nitrogen and Water Management for the Soybean–Wheat System of Madhya Pradesh, Central India, Assessed Using APSIM Model. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 86217–228. 10.1007/s40011-014-0443-3
other-oa · submittedVersion
2016 8
Peake, A.S.; Carberry, P.S.; Raine, S.R.; Gett, V.; Smith, R.J.; 2016. An alternative approach to whole-farm deficit irrigation analysis: Evaluating the risk-efficiency of wheat irrigation strategies in sub-tropical Australia. Agricultural Water Management, 16961–76. 10.1016/j.agwat.2016.02.013
closed
2016 18
Xuan, Yang; Zikui, Wang; Quan, Cao; Xiaoming, Zhang; Yuying, Shen; 2016. 陇东地区几种旱作作物产量对降水与气温变化的响应. 农业工程学报, 32106–114. [22]
unknown
2016 2
McCown, R. L., Keating, B. A., Carberry, P. S., Hochman, Z., & Hargreaves, D. 2016. The co-evolution of the Agricultural Production Systems Simulator (APSIM) and its use in Australian dryland cropping research and farm management intervention.. Agricultural system models in field research and technology transfer, 149-175. 10.1201/9781420032413-8
unknown
2016 2
McCown, R. L., Keating, B. A., Carberry, P. S., Hochman, Z., & Hargreaves, D. 2016. The co-evolution of the Agricultural Production Systems Simulator (APSIM) and its use in Australian dryland cropping research and farm management intervention.. Agricultural system models in field research and technology transfer, 149-175. 10.1201/9781420032413-8
unknown
2016 2
Masere, Tirivashe; Worth, Steven; 2016. Applicability of APSIM in Decision-Making by Small-Scale Resource-Constrained Farmers: a Case of Lower Gweru Communal Area, Zimbabwe. Journal of International Agricultural and Extension Education, . 10.5191/jiaee.2015.22302
cc-by-nc · publishedVersion
2016 17
Archontoulis, Sotirios V.; Huber, Isaiah; Miguez, Fernando E.; Thorburn, Peter J.; Rogovska, Natalia; Laird, David A.; 2016. A model for mechanistic and system assessments of biochar effects on soils and crops and trade‐offs. GCB Bioenergy, 81028–1045. 10.1111/gcbb.12314
cc-by · publishedVersion
2016 67
Everingham, Yvette; Sexton, Justin; Skocaj, Danielle; Inman-Bamber, Geoff; 2016. Accurate prediction of sugarcane yield using a random forest algorithm. Agronomy for Sustainable Development, 36. 10.1007/s13593-016-0364-z
· publishedVersion
2016 307
Myoung, B.; Kim, S.H.; Kim, J.; Kafatos, M.; 2016. Regional Variations of Optimal Sowing Dates of Maize for the Southwestern U.S.. Transactions of the ASABE, 591759–1769. 10.13031/trans.59.11583
closed
2016 3
Lee, Seul-Bi; Lim, Jung-Eun; Lee, Ye-Jin; Sung, Jwa-Kyung; Lee, Deog-Bae; Hong, Suk-Young; 2016. Analysis of components and applications of major crop models for nutrient management in agricultural land. 농업과학연구, 43537–546. 10.7744/KJOAS.20160055
closed
2016 3
Dietzel, Ranae; Liebman, Matt; Ewing, Robert; Helmers, Matt; Horton, Robert; Jarchow, Meghann; Archontoulis, Sotirios; 2016. How efficiently do corn‐ and soybean‐based cropping systems use water? A systems modeling analysis. Global Change Biology, 22666–681. 10.1111/gcb.13101
closed
2016 96
Pembleton, K. G.; Cullen, B. R.; Rawnsley, R. P.; Harrison, M. T.; Ramilan, T.; 2016. Modelling the resilience of forage crop production to future climate change in the dairy regions of Southeastern Australia using APSIM. The Journal of Agricultural Science, 1541131–1152. 10.1017/S0021859615001185
· publishedVersion
2016 41
Tong, Dai; 2016. Modelling the impacts of climate change on spring maize yield in Southwest China using the APSIM model. 资源科学, 38113–119. 10.18402/resci.2016.01.17
closed
2016 10
Vogeler, I.; Lucci, G.; Shepherd, M.; 2016. An assessment of the effects of fertilizer nitrogen management on nitrate leaching risk from grazed dairy pasture. The Journal of Agricultural Science, 154407–424. 10.1017/S0021859615000295
cc-by · submittedVersion
2016 29
Zeng, Wenzhi; Wu, Jingwei; Hoffmann, Munir P.; Xu, Chi; Ma, Tao; Huang, Jiesheng; 2016. Testing the APSIM sunflower model on saline soils of Inner Mongolia, China. Field Crops Research, 19242–54. 10.1016/j.fcr.2016.04.013
cc-by · submittedVersion
2016 32
Macadam, Ian; Argüeso, Daniel; Evans, Jason P.; Liu, De Li; Pitman, Andy J.; 2016. The effect of bias correction and climate model resolution on wheat simulations forced with a regional climate model ensemble: FORCING WHEAT SIMULATIONS WITH REGIONAL CLIMATE MODEL DATA. International Journal of Climatology, 364577–4591. 10.1002/joc.4653
· publishedVersion
2016 29
Vogeler, I.; Cichota, R.; 2016. Deriving seasonally optimal nitrogen fertilization rates for a ryegrass pasture based on agricultural production systems simulator modelling with a refined AgPasture model. Grass and Forage Science, 71353–365. 10.1111/gfs.12181
closed
2016 22
Kisaka, M. Oscar; Mucheru-Muna, M.; Ngetich, F. K.; Mugwe, J. N.; Mugendi, D. N.; Mairura, F.; Muriuki, J.; 2016. USING APSIM-MODEL AS A DECISION-SUPPORT-TOOL FOR LONG-TERM INTEGRATED-NITROGEN-MANAGEMENT AND MAIZE PRODUCTIVITY UNDER SEMI-ARID CONDITIONS IN KENYA. Experimental Agriculture, 52279–299. 10.1017/S0014479715000095
closed
2016 21
Zeleke, K.T.; Nendel, C.; 2016. Analysis of options for increasing wheat (Triticum aestivum L.) yield in south-eastern Australia: The role of irrigation, cultivar choice and time of sowing. Agricultural Water Management, 166139–148. 10.1016/j.agwat.2015.12.016
closed
2016 38
Chimonyo, Vgp; Modi, At; Mabhaudhi, T; 2016. Assessment of sorghum–cowpea intercrop system under waterlimited conditions using a decision support tool. Water SA, 42316. 10.4314/wsa.v42i2.15
cc-by · publishedVersion
2016 17
Chen, Chao; Berger, Jens; Fletcher, Andrew; Lawes, Roger; Robertson, Michael; 2016. Genotype × environment interactions for phenological adaptation in narrow-leafed lupin: A simulation study with a parameter optimized model. Field Crops Research, 19728–38. 10.1016/j.fcr.2016.08.002
closed
2016 9
Frija, Aymen; Telleria, Roberto; 2016. Country-Level Bio-Economic Modeling of Agricultural Technologies to Enhance Wheat-Based Systems Productivity in the Dry Areas. Sustainable Agriculture Research, 5113. 10.5539/sar.v5n3p113
cc-by · publishedVersion
2016 3
Fillery, Ian R. P.; Khimashia, Nirav; 2016. Procedure to estimate ammonia loss after N fertiliser application to moist soil. Soil Research, 541. 10.1071/SR14073
closed
2016 15
Camargo, G.G.T.; Kemanian, A.R.; 2016. Six crop models differ in their simulation of water uptake. Agricultural and Forest Meteorology, 220116–129. 10.1016/j.agrformet.2016.01.013
closed
2016 52
Luo, Zhongkui; Wang, Enli; Viscarra Rossel, Raphael A.; 2016. Can the sequestered carbon in agricultural soil be maintained with changes in management, temperature and rainfall? A sensitivity assessment. Geoderma, 26822–28. 10.1016/j.geoderma.2016.01.015
closed
2016 10
De Oliveira, Ana Paula Pessim; Thorburn, Peter J.; Biggs, Jody S.; Lima, Eduardo; Dos Anjos, Lúcia Helena Cunha; Pereira, Marcos Gervasio; Zanotti, Nelson Élio; 2016. THE RESPONSE OF SUGARCANE TO TRASH RETENTION AND NITROGEN IN THE BRAZILIAN COASTAL TABLELANDS: A SIMULATION STUDY. Experimental Agriculture, 5269–86. 10.1017/S0014479714000568
· publishedVersion
2016 20
Antille, D.L.; Huth, N.I.; Eberhard, J.; Marinoni, O.; Cocks, B.; Poulton, P.L.; Macdonald, B.C.T.; Schmidt, E.J.; 2016. The Effects of Coal Seam Gas Infrastructure Development on Arable Land in Southern Queensland, Australia: Field Investigations and Modeling. Transactions of the ASABE, 59879–901. 10.13031/trans.59.11547
closed
2016 14
Andrade, A. S.; Santos, P. M.; Pezzopane, J. R. M.; de Araujo, L. C.; Pedreira, B. C.; Pedreira, C. G. S.; Marin, F. R.; Lara, M. A. S.; 2016. Simulating tropical forage growth and biomass accumulation: an overview of model development and application. Grass and Forage Science, 7154–65. 10.1111/gfs.12177
· publishedVersion
2016 50
Ojeda, J.J.; Pembleton, K.G.; Islam, M.R.; Agnusdei, M.G.; Garcia, S.C.; 2016. Evaluation of the agricultural production systems simulator simulating Lucerne and annual ryegrass dry matter yield in the Argentine Pampas and south-eastern Australia. Agricultural Systems, 14361–75. 10.1016/j.agsy.2015.12.005
cc-by · submittedVersion
2016 26
Mielenz, Henrike; Thorburn, Peter J.; Scheer, Clemens; De Antoni Migliorati, Massimiliano; Grace, Peter R.; Bell, Mike J.; 2016. Opportunities for mitigating nitrous oxide emissions in subtropical cereal and fiber cropping systems: A simulation study. Agriculture, Ecosystems & Environment, 21811–27. 10.1016/j.agee.2015.11.008
· submittedVersion
2016 21
Borus, D.J.; Mohammed, C.; Parsons, D.; Boersma, M.; Schulte-Geldermann, E.; 2016. Modelling future potato ( Solanum tuberosum L.) production in Tasmania and Kenya. Acta Horticulturae, 217–224. 10.17660/ActaHortic.2016.1118.32
closed
2016 5
Rigobelo, Everlon Cid; Ibrahim, Ahmed; Harrison, Matthew; Meinke, Holger; Zhou, Meixue; 2016. Barley Phenology: Physiological and Molecular Mechanisms for Heading Date and Modelling of Genotype‐Environment‐ Management Interactions. , . [23]
unknown
2016 6
Luo, Q; Bange, M; Devoil, P; 2016. Effects of a wheat rotation on cotton production in a changing climate: a simulation study. Climate Research, 7029–38. 10.3354/cr01413
closed
2016 1
Chen, Chao; Lawes, Roger; Fletcher, Andrew; Oliver, Yvette; Robertson, Michael; Bell, Mike; Wang, Enli; 2016. How well can APSIM simulate nitrogen uptake and nitrogen fixation of legume crops?. Field Crops Research, 18735–48. 10.1016/j.fcr.2015.12.007
closed
2016 37
Roxburgh, Caspar W.; Rodriguez, Daniel; 2016. Ex-ante analysis of opportunities for the sustainable intensification of maize production in Mozambique. Agricultural Systems, 1429–22. 10.1016/j.agsy.2015.10.010
closed
2016 30
Ghahramani, Afshin; Moore, Andrew D.; 2016. Impact of climate changes on existing crop-livestock farming systems. Agricultural Systems, 146142–155. 10.1016/j.agsy.2016.05.011
closed
2016 42
Zheng, Bangyou; Holland, Edward; Chapman, Scott C.; 2016. A standardized workflow to utilise a grid-computing system through advanced message queuing protocols. Environmental Modelling & Software, 84304–310. 10.1016/j.envsoft.2016.07.012
closed
2016 4
Li, Jianzheng; Wang, Enli; Wang, Yingchun; Xing, Hongtao; Wang, Daolong; Wang, Ligang; Gao, Chunyu; 2016. Reducing greenhouse gas emissions from a wheat–maize rotation system while still maintaining productivity. Agricultural Systems, 14590–98. 10.1016/j.agsy.2016.03.007
closed
2016 44
Zhao, Jin; Yang, Xiaoguang; Liu, Zhijuan; Lv, Shuo; Wang, Jing; Dai, Shuwei; 2016. Variations in the potential climatic suitability distribution patterns and grain yields for spring maize in Northeast China under climate change. Climatic Change, 13729–42. 10.1007/s10584-016-1652-y
closed
2016 39
Chimonyo, V.G.P.; Modi, A.T.; Mabhaudhi, T.; 2016. Simulating yield and water use of a sorghum–cowpea intercrop using APSIM. Agricultural Water Management, 177317–328. 10.1016/j.agwat.2016.08.021
closed
2016 68
Lorençoni, Rogério; Dourado Neto, Durval; Heinemann, Alexandre Bryan; Soares, Leonardo Cirilo da Silva; Silva, Adilson Nunes da; 2016. CALIBRAÇÃO DO MODELO ORYZA-APSIM PARA O ARROZ DE TERRAS ALTAS NO BRASIL. BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura, 85237. 10.37856/bja.v85i3.2855
· publishedVersion
2016 0
Xiao, Dengpan; Shen, Yanjun; Zhang, He; Moiwo, Juana P.; Qi, Yongqing; Wang, Rende; Pei, Hongwei; Zhang, Yucui; Shen, Huitao; 2016. Comparison of winter wheat yield sensitivity to climate variables under irrigated and rain-fed conditions. Frontiers of Earth Science, 10444–454. 10.1007/s11707-015-0534-3
closed
2016 8
Poulton, P.L.; Dalgliesh, N.P.; Vang, S.; Roth, C.H.; 2016. Resilience of Cambodian lowland rice farming systems to future climate uncertainty. Field Crops Research, 198160–170. 10.1016/j.fcr.2016.09.008
closed
2016 25
Liu, Zhijuan; Yang, Xiaoguang; Lin, Xiaomao; Hubbard, Kenneth G.; Lv, Shuo; Wang, Jing; 2016. Narrowing the Agronomic Yield Gaps of Maize by Improved Soil, Cultivar, and Agricultural Management Practices in Different Climate Zones of Northeast China. Earth Interactions, 201–18. 10.1175/EI-D-15-0032.1
· publishedVersion
2016 22
Mohanty, M.; Sammi Reddy, K.; Probert, M. E.; Dalal, R. C.; Sinha, Nishant K.; Subba Rao, A.; Menzies, N. W.; 2016. Efficient Nitrogen and Water Management for the Soybean–Wheat System of Madhya Pradesh, Central India, Assessed Using APSIM Model. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 86217–228. 10.1007/s40011-014-0443-3
other-oa · submittedVersion
2016 1
Hammer, Graeme; McLean, Greg; Doherty, Al; van Oosterom, Erik; Chapman, Scott; Ciampitti, Ignacio; Prasad, Vara; 2016. Sorghum Crop Modeling and Its Utility in Agronomy and Breeding. , . [24]
unknown
2016 23
Bacon, Samuel A.; Mau, Raimundo; Neto, Florindo M.; Williams, Robert L.; Turner, Neil C.; 2016. Effect of climate warming on maize production in Timor-Leste: interaction with nitrogen supply. Crop and Pasture Science, 67156. 10.1071/CP15078
closed
2016 5
Mielenz, Henrike; Thorburn, Peter J.; Harris, Robert H.; Officer, Sally J.; Li, Guangdi; Schwenke, Graeme D.; Grace, Peter R.; 2016. Nitrous oxide emissions from grain production systems across a wide range of environmental conditions in eastern Australia. Soil Research, 54659. 10.1071/SR15376
cc-by-nc-nd · publishedVersion
2016 21
O'Leary, Garry J.; Liu, De Li; Ma, Yuchun; Li, Frank Yonghong; McCaskill, Malcolm; Conyers, Mark; Dalal, Ram; Reeves, Steven; Page, Kathryn; Dang, Yash P.; Robertson, Fiona; 2016. Modelling soil organic carbon 1. Performance of APSIM crop and pasture modules against long-term experimental data. Geoderma, 264227–237. 10.1016/j.geoderma.2015.11.004
closed
2016 54
Liu, De Li; O'Leary, Garry J.; Ma, Yuchun; Cowie, Annette; Li, Frank Yonghong; McCaskill, Malcolm; Conyers, Mark; Dalal, Ram; Robertson, Fiona; Dougherty, Warwick; 2016. Modelling soil organic carbon 2. Changes under a range of cropping and grazing farming systems in eastern Australia. Geoderma, 265164–175. 10.1016/j.geoderma.2015.11.005
closed
2016 28
Ren, Xinmao; Sun, Dongbao; Wang, Qingsuo; 2016. Modeling the effects of plant density on maize productivity and water balance in the Loess Plateau of China. Agricultural Water Management, 17140–48. 10.1016/j.agwat.2016.03.014
closed
2016 58
Inman-Bamber, N.G.; 2016. Sugarcane for water-limited environments: Enhanced capability of the APSIM sugarcane model for assessing traits for transpiration efficiency and root water supply. Field Crops Research, 196112–123. 10.1016/j.fcr.2016.06.013
closed
2016 39
Sexton, J.; Everingham, Y.; Inman-Bamber, G.; 2016. A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model. Environmental Modelling & Software, 83126–142. 10.1016/j.envsoft.2016.05.014
· submittedVersion
2016 40
Waha, Katharina; Huth, Neil; Carberry, Peter; Wang, Enli; 2015. How model and input uncertainty impact maize yield simulations in West Africa. Environmental Research Letters, 10024017. 10.1088/1748-9326/10/2/024017
cc-by · publishedVersion
2015 46
Feldman, David; Thomas, Quenten; Farre Codina, Imma; Plunkett, Brad; Kingwell, Ross; 2015. Is a low-input strategy a sound business defence in a drying climate?. , . [25]
unknown
2015 1
Watson, James; Zheng, Bangyou; Chapman, Scott C.; Chenu, Karine; 2015. Projected Impact of Future Climate on Drought Patterns in Complex Rainfed Environments. Procedia Environmental Sciences, 29190–191. 10.1016/j.proenv.2015.07.255
cc-by-nc-nd · publishedVersion
2015 2
Chauhan, Yashvir; Tatnell, Jeff; Krosch, Stephen; Karanja, James; Gnonlonfin, Benoit; Wanjuki, Immaculate; Wainaina, James; Harvey, Jagger; 2015. An improved simulation model to predict pre-harvest aflatoxin risk in maize. Field Crops Research, 17891–99. 10.1016/j.fcr.2015.03.024
cc-by-nc-nd · publishedVersion
2015 41
Myoung, Boksoon; Kim, Seung Hee; Stack, David H.; Kim, Jinwon; Kafatos, Menas C.; 2015. Temperature, Sowing and Harvest Dates, and Yield Potential of Maize in the Southwestern US. Procedia Environmental Sciences, 29276. 10.1016/j.proenv.2015.07.207
cc-by-nc-nd · publishedVersion
2015 6
Wang, Na; Wang, Jing; Wang, Enli; Yu, Qiang; Shi, Ying; He, Di; 2015. Increased uncertainty in simulated maize phenology with more frequent supra-optimal temperature under climate warming. European Journal of Agronomy, 7119–33. 10.1016/j.eja.2015.08.005
closed
2015 43
Al-Azri, M.; Leibovici, D.; Karunaratne, A.; Ray, R.V.; 2015. Simulating Eyespot Disease Development and Yield Loss Using APSIM for UK Wheat. Procedia Environmental Sciences, 29256–257. 10.1016/j.proenv.2015.07.192
cc-by-nc-nd · publishedVersion
2015 5
G, Gebrekiros; A, Araya; 2015. Modeling Impact of Climate Change and Variability on Sorghum Production in Southern Zone of Tigray, Ethiopia. Journal of Earth Science & Climatic Change, 7. 10.4172/2157-7617.1000322
cc-by · publishedVersion
2015 19
Williams, Allyson; White, Neil; Mushtaq, Shahbaz; Cockfield, Geoff; Power, Brendan; Kouadio, Louis; 2015. Quantifying the response of cotton production in eastern Australia to climate change. Climatic Change, 129183–196. 10.1007/s10584-014-1305-y
closed
2015 43
Lal, Rattan; Singh, Bal Ram; Mwaseba, Dismas L.; Kraybill, David; Hansen, David O.; Eik, Lars Olav; Mbungu, Winfred B.; Mahoo, Henry F.; Tumbo, Siza D.; Kahimba, Frederick C.; Rwehumbiza, Filbert B.; Mbilinyi, Boniface P.; 2015. Using Climate and Crop Simulation Models for Assessing Climate Change Impacts on Agronomic Practices and Productivity. , 201–219. [26]
unknown
2015 5
Scanlan, C.A.; Huth, N.I.; Bell, R.W.; 2015. Simulating wheat growth response to potassium availability under field conditions with sandy soils. I. Model development. Field Crops Research, 178109–124. 10.1016/j.fcr.2015.03.022
closed
2015 15
Amarasingha, R.P.R.K.; Galagedara, L.W.; Marambe, B.; Silva, G.L.L.P.; Punyawardena, R.; Nidumolu, U.; Howden, M.; Suriyagoda, L.D.B.; 2015. Aligning Sowing Dates with the Onset of Rains to Improve Rice Yields and Water Productivity: Modelling Rice (Oryza sativa L.) Yield of the Maha Season in the Dry Zone of Sri Lanka. Tropical Agricultural Research, 25277. 10.4038/tar.v25i3.8038
cc-by · publishedVersion
2015 13
Kim, Seung Hee; Kim, Jinwon; Walko, Rovert; Myoung, Boksoon; Stack, David; Kafatos, Menas; 2015. Climate Change Impacts on Maize-yield Potential in the Southwestern United States. Procedia Environmental Sciences, 29279–280. 10.1016/j.proenv.2015.07.210
cc-by-nc-nd · publishedVersion
2015 5
Amarasingha, R.P.R.K.; Suriyagoda, L.D.B.; Marambe, B.; Galagedara, L.W.; Silva, G.L.L.P; Punyawardena, R.; Wijekoon, R.; Nidumolu, U.; Howden, M.; 2015. Modelling the impact of changes in rainfall distribution on the irrigation water requirement and yield of short and medium duration rice varieties using APSIM during Maha season in the dry zone of Sri Lanka. Tropical Agricultural Research, 26274. 10.4038/tar.v26i2.8091
cc-by · publishedVersion
2015 7
Giltrap, Dl; Vogeler, I; Cichota, R; Luo, J; van der Weerden, Tj; de Klein, Cam; 2015. Comparison between APSIM and NZ-DNDC models when describing N-dynamics under urine patches. New Zealand Journal of Agricultural Research, 58131–155. 10.1080/00288233.2014.987876
· publishedVersion
2015 24
Dumbrell, Nikki P.; Kragt, Marit E.; Biggs, Jody; Meier, Elizabeth; Thorburn, Peter; 2015. Climate change abatement and farm profitability analyses across agricultural environments. , . [27]
unknown
2015 0
Kouadio, Louis; Newlands, Nathaniel; Potgieter, Andries; McLean, Greg; Hill, Harvey; 2015. Exploring the Potential Impacts of Climate Variability on Spring Wheat Yield with the APSIM Decision Support Tool. Agricultural Sciences, 6686–698. 10.4236/as.2015.67066
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2015 12
Lawes, Roger; Renton, Michael; 2015. Gaining insight into the risks, returns and value of perfect knowledge for crop sequences by comparing optimal sequences with those proposed by agronomists. Crop and Pasture Science, 66622. 10.1071/CP14185
closed
2015 16
Ahuja, Lajpat R.; Ma, Liwang; Lascano, Robert J.; Ahuja, L.R.; Saseendran, S.A.; Fang, Q.X.; Nielsen, David C.; Wang, Enli; Colaizzi, Paul D.; 2015. Syntheses of the Current Model Applications for Managing Water and Needs for Experimental Data and Model Improvements to Enhance these Applications. , 399–437. [28]
unknown
2015 14
MacCarthy, D. S.; Akponikpe, P. B. I.; Narh, S.; Tegbe, R.; 2015. Modeling the effect of seasonal climate variability on the efficiency of mineral fertilization on maize in the coastal savannah of Ghana. Nutrient Cycling in Agroecosystems, 10245–64. 10.1007/s10705-015-9701-x
closed
2015 0
Singh, Anil Kumar; Dagar, Jagdish Chander; Arunachalam, Ayyanadar; R, Gopichandran; Shelat, Kirit Nanubhai; Mohanty, M.; Sinha, Nishant K.; Lenka, Sangeeta; Hati, K. M.; Somasundaram, J.; Saha, R.; Singh, R. K.; Chaudhary, R. S.; Subba Rao, A.; 2015. Climate Change Impacts on Rainfed Soybean Yield of Central India: Management Strategies Through Simulation Modelling. , 39–44. [29]
unknown
2015 6
Wang, Jing; Wang, Enli; Yin, Hong; Feng, Liping; Zhao, Yanxia; 2015. Differences between observed and calculated solar radiations and their impact on simulated crop yields. Field Crops Research, 1761–10. 10.1016/j.fcr.2015.02.014
closed
2015 64
Chauhan, Yashvir S.; Thorburn, Peter; Biggs, Jody S.; Wright, Graeme C.; 2015. Agronomic benefits and risks associated with the irrigated peanut–maize production system under a changing climate in northern Australia. Crop and Pasture Science, 661167. 10.1071/CP15068
· submittedVersion
2015 6
Acuña, Tina Botwright; Lisson, Shaun; Johnson, Peter; Dean, Geoff; 2015. Yield and water-use efficiency of wheat in a high-rainfall environment. Crop and Pasture Science, 66419. 10.1071/CP14308
closed
2015 11
Humphreys, E.; Gaydon, D.S.; 2015. Options for increasing the productivity of the rice–wheat system of north west India while reducing groundwater depletion. Part 2. Is conservation agriculture the answer?. Field Crops Research, 17381–94. 10.1016/j.fcr.2014.11.019
closed
2015 52
Hoffmann, M.P.; Jacobs, A.; Whitbread, A.M.; 2015. Crop modelling based analysis of site-specific production limitations of winter oilseed rape in northern Germany. Field Crops Research, 17849–62. 10.1016/j.fcr.2015.03.018
cc-by · submittedVersion
2015 23
Shaw, Ruth E.; Meyer, Wayne S.; 2015. Improved Empirical Representation of Plant Responses to Waterlogging for Simulating Crop Yield. Agronomy Journal, 1071711–1723. 10.2134/agronj14.0625
closed
2015 50
McCormick, Jeffrey I.; Virgona, Jim M.; Lilley, Julianne M.; Kirkegaard, John A.; 2015. Evaluating the feasibility of dual-purpose canola in a medium-rainfall zone of south-eastern Australia: a simulation approach. Crop and Pasture Science, 66318. 10.1071/CP13421
closed
2015 22
Stanfill, Bryan; Mielenz, Henrike; Clifford, David; Thorburn, Peter; 2015. Simple approach to emulating complex computer models for global sensitivity analysis. Environmental Modelling & Software, 74140–155. 10.1016/j.envsoft.2015.09.011
closed
2015 26
Moot, Dj; Hargreaves, J; Brown, He; Teixeira, Ei; 2015. Calibration of the APSIM-Lucerne model for ‘Grasslands Kaituna’ lucerne crops grown in New Zealand. New Zealand Journal of Agricultural Research, 58190–202. 10.1080/00288233.2015.1018392
· publishedVersion
2015 26
Whish, Jeremy P.M.; Herrmann, Neville I.; White, Neil A.; Moore, Andrew D.; Kriticos, Darren J.; 2015. Integrating pest population models with biophysical crop models to better represent the farming system. Environmental Modelling & Software, 72418–425. 10.1016/j.envsoft.2014.10.010
· submittedVersion
2015 50
Zhao, Gang; Bryan, Brett A.; King, Darran; Luo, Zhongkui; Wang, Enli; Yu, Qiang; 2015. Sustainable limits to crop residue harvest for bioenergy: maintaining soil carbon in Australia's agricultural lands. GCB Bioenergy, 7479–487. 10.1111/gcbb.12145
· publishedVersion
2015 42
Sennhenn, A.; Njarui, D.M.G.; Maass, B.L.; Whitbread, A.M.; 2015. Can Short-season Grain Legumes Contribute to More Resilient and Productive Farming Systems in Semi-arid Eastern Kenya?. Procedia Environmental Sciences, 2981–82. 10.1016/j.proenv.2015.07.169
cc-by-nc-nd · publishedVersion
2015 1
Poulton, P. L.; Vesna, T.; Dalgliesh, N. P.; Seng, V.; 2015. APPLYING SIMULATION TO IMPROVE RICE VARIETIES IN REDUCING THE ON-FARM YIELD GAP IN CAMBODIAN LOWLAND RICE ECOSYSTEMS. Experimental Agriculture, 51264–284. 10.1017/S0014479714000271
closed
2015 14
Robertson, M. J.; Rebetzke, G. J.; Norton, R. M.; 2015. Assessing the place and role of crop simulation modelling in Australia. Crop and Pasture Science, 66877. 10.1071/CP14361
cc-by · submittedVersion
2015 25
Amarasingha, R.P.R.K.; Suriyagoda, L.D.B.; Marambe, B.; Gaydon, D.S.; Galagedara, L.W.; Punyawardena, R.; Silva, G.L.L.P.; Nidumolu, U.; Howden, M.; 2015. Simulation of crop and water productivity for rice (Oryza sativa L.) using APSIM under diverse agro-climatic conditions and water management techniques in Sri Lanka. Agricultural Water Management, 160132–143. 10.1016/j.agwat.2015.07.001
closed
2015 62
Leal Filho, Walter; Esilaba, Anthony O.; Rao, Karuturi P.C.; Sridhar, Gummadi; Ngugi, L. W.; Rao, K. P. C.; Oyoo, A.; Kwena, K.; 2015. Opportunities for Coping with Climate Change and Variability Through Adoption of Soil and Water Conservation Technologies in Semi-arid Eastern Kenya. , 149–157. [30]
unknown
2015 10
Scanlan, Craig A.; Bell, Richard W.; Brennan, Ross F.; 2015. Simulating wheat growth response to potassium availability under field conditions in sandy soils. II. Effect of subsurface potassium on grain yield response to potassium fertiliser. Field Crops Research, 178125–134. 10.1016/j.fcr.2015.03.019
closed
2015 17
Nissanka, Sarath P.; Karunaratne, Asha S.; Perera, Ruchika; Weerakoon, W.M.W.; Thorburn, Peter J.; Wallach, Daniel; 2015. Calibration of the phenology sub-model of APSIM-Oryza: Going beyond goodness of fit. Environmental Modelling & Software, 70128–137. 10.1016/j.envsoft.2015.04.007
closed
2015 31
MacCarthy, D. S.; Akponikpe, P. B. I.; Narh, S.; Tegbe, R.; 2015. Modeling the effect of seasonal climate variability on the efficiency of mineral fertilization on maize in the coastal savannah of Ghana. Nutrient Cycling in Agroecosystems, 10245–64. 10.1007/s10705-015-9701-x
closed
2015 17
Ahuja, L.R.; Reddy, V.R.; Saseendran, S.A.; Yu, Qiang; Saseendran, S. A.; Ahuja, L. R.; Ma, L.; Timlin, D.; Stöckle, C. O.; Boote, K. J.; Hoogenboom, G.; 2015. Current Water Deficit Stress Simulations in Selected Agricultural System Models. , 1–38. [31]
unknown
2015 32
Mohanty, M.; Sinha, N.K.; Hati, K.M.; Reddy, K.S.; Chaudhary, R.S.; 2015. Elevated temperature and carbon dioxide concentration effects on wheat productivity in Madhya Pradesh: a simulation study. Journal of Agrometeorology, 17185–189. 10.54386/jam.v17i2.1001
cc-by · publishedVersion
2015 13
Subash, N.; Shamim, M.; Singh, V. K.; Gangwar, B.; Singh, B.; Gaydon, D. S.; Roth, C. H.; Poulton, P. L.; Sikka, A. K.; 2015. Applicability of APSIM to capture the effectiveness of irrigation management decisions in rice-based cropping sequence in the Upper-Gangetic Plains of India. Paddy and Water Environment, 13325–335. 10.1007/s10333-014-0443-1
closed
2015 0
Lilley, Julianne M.; Bell, Lindsay W.; Kirkegaard, John A.; 2015. Optimising grain yield and grazing potential of crops across Australia’s high-rainfall zone: a simulation analysis. 2. Canola. Crop and Pasture Science, 66349. 10.1071/CP14240
closed
2015 39
Nissanka, Sarath P.; Karunaratne, Asha S.; Perera, Ruchika; Weerakoon, W.M.W.; Thorburn, Peter J.; Wallach, Daniel; 2015. Calibration of the phenology sub-model of APSIM-Oryza: Going beyond goodness of fit. Environmental Modelling & Software, 70128–137. 10.1016/j.envsoft.2015.04.007
closed
2015 31
Lv, Shuo; Yang, Xiaoguang; Lin, Xiaomao; Liu, Zhijuan; Zhao, Jin; Li, Kenan; Mu, Chenying; Chen, Xiaochao; Chen, Fanjun; Mi, Guohua; 2015. Yield gap simulations using ten maize cultivars commonly planted in Northeast China during the past five decades. Agricultural and Forest Meteorology, 2051–10. 10.1016/j.agrformet.2015.02.008
closed
2015 59
O'Leary, Garry J.; Christy, Brendan; Nuttall, James; Huth, Neil; Cammarano, Davide; Stöckle, Claudio; Basso, Bruno; Shcherbak, Iurii; Fitzgerald, Glenn; Luo, Qunying; Farre-Codina, Immaculada; Palta, Jairo; Asseng, Senthold; 2015. Response of wheat growth, grain yield and water use to elevated CO 2 under a Free-Air CO 2 Enrichment (FACE) experiment and modelling in a semi-arid environment. Global Change Biology, 212670–2686. 10.1111/gcb.12830
cc-by-nc · publishedVersion
2015 190
Araya, A.; Hoogenboom, G.; Luedeling, E.; Hadgu, Kiros M.; Kisekka, Isaya; Martorano, Lucieta G.; 2015. Assessment of maize growth and yield using crop models under present and future climate in southwestern Ethiopia. Agricultural and Forest Meteorology, 214252–265. 10.1016/j.agrformet.2015.08.259
closed
2015 166
Rurinda, Jairos; van Wijk, Mark T.; Mapfumo, Paul; Descheemaeker, Katrien; Supit, Iwan; Giller, Ken E.; 2015. Climate change and maize yield in southern Africa: what can farm management do?. Global Change Biology, 214588–4601. 10.1111/gcb.13061
· acceptedVersion
2015 108
Teixeira, Edmar I.; Brown, Hamish E.; Sharp, Joanna; Meenken, Esther D.; Ewert, Frank; 2015. Evaluating methods to simulate crop rotations for climate impact assessments – A case study on the Canterbury plains of New Zealand. Environmental Modelling & Software, 72304–313. 10.1016/j.envsoft.2015.05.012
closed
2015 41
Lobell, David B.; Hammer, Graeme L.; Chenu, Karine; Zheng, Bangyou; McLean, Greg; Chapman, Scott C.; 2015. The shifting influence of drought and heat stress for crops in northeast Australia. Global Change Biology, 214115–4127. 10.1111/gcb.13022
closed
2015 300
Soltani, Afshin; Sinclair, Thomas R.; 2015. A comparison of four wheat models with respect to robustness and transparency: Simulation in a temperate, sub-humid environment. Field Crops Research, 17537–46. 10.1016/j.fcr.2014.10.019
closed
2015 46
Guan, Kaiyu; Sultan, Benjamin; Biasutti, Michela; Baron, Christian; Lobell, David B.; 2015. What aspects of future rainfall changes matter for crop yields in West Africa?. Geophysical Research Letters, 428001–8010. 10.1002/2015GL063877
cc-by-nc-nd · publishedVersion
2015 83
Barlow, K.M.; Christy, B.P.; O’Leary, G.J.; Riffkin, P.A.; Nuttall, J.G.; 2015. Simulating the impact of extreme heat and frost events on wheat crop production: A review. Field Crops Research, 171109–119. 10.1016/j.fcr.2014.11.010
cc-by-nc-sa · publishedVersion
2015 476
Marin, Fábio R.; Thorburn, Peter J.; Nassif, Daniel S.P.; Costa, Leandro G.; 2015. Sugarcane model intercomparison: Structural differences and uncertainties under current and potential future climates. Environmental Modelling & Software, 72372–386. 10.1016/j.envsoft.2015.02.019
closed
2015 70
Zheng, Bangyou; Chapman, Scott; Christopher, Jack; Frederiks, Troy; Chenu, Karine; 2015. Frost Trends and their Estimated Impact on Yield in the Australian Wheatbelt. Procedia Environmental Sciences, 29171–172. 10.1016/j.proenv.2015.07.244
cc-by-nc-nd · publishedVersion
2015 185
Subash, N.; Shamim, M.; Singh, V. K.; Gangwar, B.; Singh, B.; Gaydon, D. S.; Roth, C. H.; Poulton, P. L.; Sikka, A. K.; 2015. Applicability of APSIM to capture the effectiveness of irrigation management decisions in rice-based cropping sequence in the Upper-Gangetic Plains of India. Paddy and Water Environment, 13325–335. 10.1007/s10333-014-0443-1
closed
2015 14
Sun, Hongyong; Zhang, Xiying; Wang, Enli; Chen, Suying; Shao, Liwei; 2015. Quantifying the impact of irrigation on groundwater reserve and crop production – A case study in the North China Plain. European Journal of Agronomy, 7048–56. 10.1016/j.eja.2015.07.001
closed
2015 105
Humphreys, E.; Gaydon, D.S.; 2015. Options for increasing the productivity of the rice–wheat system of north-west India while reducing groundwater depletion. Part 1. Rice variety duration, sowing date and inclusion of mungbean. Field Crops Research, 17368–80. 10.1016/j.fcr.2014.11.018
closed
2015 57
Yang, Xiaoguang; Chen, Fu; Lin, Xiaomao; Liu, Zhijuan; Zhang, Hailin; Zhao, Jin; Li, Kenan; Ye, Qing; Li, Yong; Lv, Shuo; Yang, Peng; Wu, Wenbin; Li, Zhengguo; Lal, Rattan; Tang, Huajun; 2015. Potential benefits of climate change for crop productivity in China. Agricultural and Forest Meteorology, 20876–84. 10.1016/j.agrformet.2015.04.024
closed
2015 216
Innes, P.J.; Tan, D.K.Y.; Van Ogtrop, F.; Amthor, J.S.; 2015. Effects of high-temperature episodes on wheat yields in New South Wales, Australia. Agricultural and Forest Meteorology, 20895–107. 10.1016/j.agrformet.2015.03.018
closed
2015 62
Anwar, Muhuddin Rajin; Liu, De Li; Farquharson, Robert; Macadam, Ian; Abadi, Amir; Finlayson, John; Wang, Bin; Ramilan, Thiagarajah; 2015. Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia. Agricultural Systems, 132133–144. 10.1016/j.agsy.2014.09.010
· publishedVersion
2015 200
Islam, M. R.; Garcia, S. C.; Clark, C. E. F.; Kerrisk, K. L.; 2015. Modelling Pasture-based Automatic Milking System Herds: Grazeable Forage Options. Asian-Australasian Journal of Animal Sciences, 28703–715. 10.5713/ajas.14.0384
cc-by · publishedVersion
2015 3
Kamanga, B. C. G.; Waddington, S. R.; Whitbread, A. M.; Almekinders, C. J. M.; Giller, K. E.; 2014. IMPROVING THE EFFICIENCY OF USE OF SMALL AMOUNTS OF NITROGEN AND PHOSPHORUS FERTILISER ON SMALLHOLDER MAIZE IN CENTRAL MALAWI. Experimental Agriculture, 50229–249. 10.1017/S0014479713000513
· acceptedVersion
2014 53
Zeleke, K.T.; Luckett, D.J.; Cowley, R.B.; 2014. The influence of soil water conditions on canola yields and production in Southern Australia. Agricultural Water Management, 14420–32. 10.1016/j.agwat.2014.05.016
closed
2014 24
Zhao, Zhigan; Wang, Enli; Wang, Zhimin; Zang, Hecang; Liu, Yunpeng; Angus, John F.; 2014. A reappraisal of the critical nitrogen concentration of wheat and its implications on crop modeling. Field Crops Research, 16465–73. 10.1016/j.fcr.2014.05.004
closed
2014 56
Yu, Qiang; Li, Longhui; Luo, Qunying; Eamus, Derek; Xu, Shouhua; Chen, Chao; Wang, Enli; Liu, Jiandong; Nielsen, David C.; 2014. Year patterns of climate impact on wheat yields: YEAR PATTERNS OF CLIMATE IMPACT ON WHEAT YIELDS. International Journal of Climatology, 34518–528. 10.1002/joc.3704
closed
2014 128
Masikati, P.; Manschadi, A.; van Rooyen, A.; Hargreaves, J.; 2014. Maize–mucuna rotation: An alternative technology to improve water productivity in smallholder farming systems. Agricultural Systems, 12362–70. 10.1016/j.agsy.2013.09.003
· publishedVersion
2014 44
Peake, A.S.; Huth, N.I.; Carberry, P.S.; Raine, S.R.; Smith, R.J.; 2014. Quantifying potential yield and lodging-related yield gaps for irrigated spring wheat in sub-tropical Australia. Field Crops Research, 1581–14. 10.1016/j.fcr.2013.12.001
closed
2014 39
Bryan, B A; King, D; Zhao, G; 2014. Influence of management and environment on Australian wheat: information for sustainable intensification and closing yield gaps. Environmental Research Letters, 9044005. 10.1088/1748-9326/9/4/044005
cc-by · publishedVersion
2014 47
Archontoulis, Sotirios V.; Miguez, Fernando E.; Moore, Kenneth J.; 2014. Evaluating APSIM Maize, Soil Water, Soil Nitrogen, Manure, and Soil Temperature Modules in the Midwestern United States. Agronomy Journal, 1061025. 10.2134/agronj2013.0421
closed
2014 164
Moeller, Carina; Sauerborn, Joachim; de Voil, Peter; Manschadi, Ahmad M.; Pala, Mustafa; Meinke, Holger; 2014. Assessing the sustainability of wheat-based cropping systems using simulation modelling: sustainability = 42?. Sustainability Science, 91–16. 10.1007/s11625-013-0228-2
cc-by · publishedVersion
2014 45
Zhao, Gang; Bryan, Brett A.; Song, Xiaodong; 2014. Sensitivity and uncertainty analysis of the APSIM-wheat model: Interactions between cultivar, environmental, and management parameters. Ecological Modelling, 2791–11. 10.1016/j.ecolmodel.2014.02.003
closed
2014 144
Moore, Andrew D.; Eckard, Richard J.; Thorburn, Peter J.; Grace, Peter R.; Wang, Enli; Chen, Deli; 2014. Mathematical modeling for improved greenhouse gas balances, agro-ecosystems, and policy development: lessons from the Australian experience: Mathematical modeling for improved GHG balances, agro-ecosystems, and policy development. Wiley Interdisciplinary Reviews: Climate Change, 5735–752. 10.1002/wcc.304
closed
2014 22
Holzworth, Dean P.; Huth, Neil I.; deVoil, Peter G.; Zurcher, Eric J.; Herrmann, Neville I.; McLean, Greg; Chenu, Karine; van Oosterom, Erik J.; Snow, Val; Murphy, Chris; Moore, Andrew D.; Brown, Hamish; Whish, Jeremy P.M.; Verrall, Shaun; Fainges, Justin; Bell, Lindsay W.; Peake, Allan S.; Poulton, Perry L.; Hochman, Zvi; Thorburn, Peter J.; Gaydon, Donald S.; Dalgliesh, Neal P.; Rodriguez, Daniel; Cox, Howard; Chapman, Scott; Doherty, Alastair; Teixeira, Edmar; Sharp, Joanna; Cichota, Rogerio; Vogeler, Iris; Li, Frank Y.; Wang, Enli; Hammer, Graeme L.; Robertson, Michael J.; Dimes, John P.; Whitbread, Anthony M.; Hunt, James; van Rees, Harm; McClelland, Tim; Carberry, Peter S.; Hargreaves, John N.G.; MacLeod, Neil; McDonald, Cam; Harsdorf, Justin; Wedgwood, Sara; Keating, Brian A.; 2014. APSIM – Evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software, 62327–350. 10.1016/j.envsoft.2014.07.009
closed
2014 1540
van Rees, Harm; McClelland, Tim; Hochman, Zvi; Carberry, Peter; Hunt, James; Huth, Neil; Holzworth, Dean; 2014. Leading farmers in South East Australia have closed the exploitable wheat yield gap: Prospects for further improvement. Field Crops Research, 1641–11. 10.1016/j.fcr.2014.04.018
closed
2014 74
Yang, Yanmin; Liu, De Li; Anwar, Muhuddin Rajin; Zuo, Heping; Yang, Yonghui; 2014. Impact of future climate change on wheat production in relation to plant-available water capacity in a semiaridenvironment. Theoretical and Applied Climatology, 115391–410. 10.1007/s00704-013-0895-z
closed
2014 77
He, Liang; Cleverly, James; Chen, Chao; Yang, Xiaoya; Li, Jun; Liu, Wenzhao; Yu, Qiang; 2014. Diverse Responses of Winter Wheat Yield and Water Use to Climate Change and Variability on the Semiarid Loess Plateau in China. Agronomy Journal, 1061169–1178. 10.2134/agronj13.0321
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2014 38
Huth, Neil I.; Banabas, Murom; Nelson, Paul N.; Webb, Michael; 2014. Development of an oil palm cropping systems model: Lessons learned and future directions. Environmental Modelling & Software, 62411–419. 10.1016/j.envsoft.2014.06.021
closed
2014 61
Marin, Fábio R.; Thorburn, Peter J.; da Costa, Leandro G.; Otto, Rafael; 2014. Simulating Long-Term Effects of Trash Management on Sugarcane Yield for Brazilian Cropping Systems. Sugar Tech, 16164–173. 10.1007/s12355-013-0265-2
closed
2014 0
Sultan, B; Guan, K; Kouressy, M; Biasutti, M; Piani, C; Hammer, G L; McLean, G; Lobell, D B; 2014. Robust features of future climate change impacts on sorghum yields in West Africa. Environmental Research Letters, 9104006. 10.1088/1748-9326/9/10/104006
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2014 125
Li, Kenan; Yang, Xiaoguang; Liu, Zhijuan; Zhang, Tianyi; Lu, Shuo; Liu, Yuan; 2014. Low yield gap of winter wheat in the North China Plain. European Journal of Agronomy, 591–12. 10.1016/j.eja.2014.04.007
closed
2014 89
Brown, Hamish E.; Huth, Neil I.; Holzworth, Dean P.; Teixeira, Edmar I.; Zyskowski, Rob F.; Hargreaves, John N.G.; Moot, Derrick J.; 2014. Plant Modelling Framework: Software for building and running crop models on the APSIM platform. Environmental Modelling & Software, 62385–398. 10.1016/j.envsoft.2014.09.005
cc-by-nc-nd · publishedVersion
2014 140
Archontoulis, Sotirios V.; Miguez, Fernando E.; Moore, Kenneth J.; 2014. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean. Environmental Modelling & Software, 62465–477. 10.1016/j.envsoft.2014.04.009
closed
2014 125
Wang, Jing; Wang, Enli; Yin, Hong; Feng, Liping; Zhang, Jianping; 2014. Declining yield potential and shrinking yield gaps of maize in the North China Plain. Agricultural and Forest Meteorology, 19589–101. 10.1016/j.agrformet.2014.05.004
closed
2014 72
Hammer, Graeme L.; McLean, Greg; Chapman, Scott; Zheng, Bangyou; Doherty, Al; Harrison, Matthew T.; van Oosterom, Erik; Jordan, David; 2014. Crop design for specific adaptation in variable dryland production environments. Crop and Pasture Science, 65614. 10.1071/CP14088
cc-by · submittedVersion
2014 153
Elliott, Joshua; Kelly, David; Chryssanthacopoulos, James; Glotter, Michael; Jhunjhnuwala, Kanika; Best, Neil; Wilde, Michael; Foster, Ian; 2014. The parallel system for integrating impact models and sectors (pSIMS). Environmental Modelling & Software, 62509–516. 10.1016/j.envsoft.2014.04.008
· submittedVersion
2014 154
Brown, Hamish E.; Huth, Neil I.; Holzworth, Dean P.; Teixeira, Edmar I.; Zyskowski, Rob F.; Hargreaves, John N.G.; Moot, Derrick J.; 2014. Plant Modelling Framework: Software for building and running crop models on the APSIM platform. Environmental Modelling & Software, 62385–398. 10.1016/j.envsoft.2014.09.005
cc-by-nc-nd · publishedVersion
2014 140
Dillmann, Andreas; Heller, Gerd; Krämer, Ewald; Kreplin, Hans-Peter; Nitsche, Wolfgang; Rist, Ulrich; Stuermer, A.; Akkermans, R. A. D.; Delfs, J. W.; 2014. Assessment of Front Rotor Trailing Edge Blowing for the Reduction of Open Rotor Interaction Noise. , 124609–618. [32]
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2014 3
Kragt, Marit E.; Robertson, Michael J.; 2014. Quantifying ecosystem services trade-offs from agricultural practices. Ecological Economics, 102147–157. 10.1016/j.ecolecon.2014.04.001
closed
2014 135
Poole, N. F.; Arnaudin, M. E.; 2014. The role of fungicides for effective disease management in cereal crops. Canadian Journal of Plant Pathology, 361–11. 10.1080/07060661.2013.870230
closed
2014 75
Schröder, Winfried; Müller, Felix; Fränzle, Otto; 2014. Handbuch der Umweltwissenschaften: Grundlagen und Anwendungen der Ökosystemforschung. , . [33]
unknown
2014 0
Young, Rick; Huth, Neil; Harden, Steven; McLeod, Ross; 2014. Impact of rain-fed cropping on the hydrology and fertility of alluvial clays in the more arid areas of the upper Darling Basin, eastern Australia. Soil Research, 52388. 10.1071/SR13194
closed
2014 5
Luo, Zhongkui; Wang, Enli; Fillery, Ian R.P.; Macdonald, Lynne M.; Huth, Neil; Baldock, Jeff; 2014. Modelling soil carbon and nitrogen dynamics using measurable and conceptual soil organic matter pools in APSIM. Agriculture, Ecosystems & Environment, 18694–104. 10.1016/j.agee.2014.01.019
closed
2014 56
Wang, Enli; Bell, Mike; Luo, Zhongkui; Moody, Phil; Probert, Merv E.; 2014. Modelling crop response to phosphorus inputs and phosphorus use efficiency in a crop rotation. Field Crops Research, 155120–132. 10.1016/j.fcr.2013.09.015
closed
2014 37
Wang, Guo-Cheng; Wang, En-Li; Huang, Yao; Xu, Jing-Jing; 2014. Soil Carbon Sequestration Potential as Affected by Management Practices in Northern China: A Simulation Study. Pedosphere, 24529–543. 10.1016/S1002-0160(14)60039-4
closed
2014 17
Moore, Andrew D.; 2014. The case for and against perennial forages in the Australian sheep–wheat zone: modelling livestock production, business risk and environmental interactions. Animal Production Science, 542029. 10.1071/AN14613
closed
2014 13
Msongaleli, Barnabas; Rwehumbiza, Filbert; Tumbo, Siza D.; Kihupi, Nganga; 2014. Sorghum Yield Response to Changing Climatic Conditions in Semi-Arid Central Tanzania: Evaluating Crop Simulation Model Applicability. Agricultural Sciences, 5822–833. 10.4236/as.2014.510087
cc-by · publishedVersion
2014 24
Descheemaeker, k.; Smith, A.P.; Robertson, M.J.; Whitbread, A.M.; Huth, N.I.; Davoren, W.; Emms, J.; Llewellyn, R.; 2014. Simulation of water-limited growth of the forage shrub saltbush (Atriplex nummularia Lindl.) in a low-rainfall environment of southern Australia. Crop and Pasture Science, 651068. 10.1071/CP13452
· acceptedVersion
2014 11
Liu, De Li; Anwar, Muhuddin R.; O'Leary, Garry; Conyers, Mark K.; 2014. Managing wheat stubble as an effective approach to sequester soil carbon in a semi-arid environment: Spatial modelling. Geoderma, 21450–61. 10.1016/j.geoderma.2013.10.003
closed
2014 53
Li, Frank Yonghong; Newton, Paul C. D.; Lieffering, Mark; 2014. Testing simulations of intra- and inter-annual variation in the plant production response to elevated CO 2 against measurements from an 11-year FACE experiment on grazed pasture. Global Change Biology, 20228–239. 10.1111/gcb.12358
closed
2014 38
Costa, Leandro G.; Marin, Fabio R.; Nassif, Daniel S. P.; Pinto, Helena M. S.; Lopes-Assad, Maria L. R. C.; 2014. Simulação do efeito do manejo da palha e do nitrogênio na produtividade da cana-de-açúcar. Revista Brasileira de Engenharia Agrícola e Ambiental, 18469–474. 10.1590/S1415-43662014000500001
cc-by · publishedVersion
2014 24
Yang, Yanmin; Yang, Yonghui; Han, Shumin; Macadam, Ian; Liu, De Li; 2014. Prediction of cotton yield and water demand under climate change and future adaptation measures. Agricultural Water Management, 14442–53. 10.1016/j.agwat.2014.06.001
closed
2014 76
Mthandi, John; 2014. Modification, Calibration and Validation of APSIM to Suit Maize (Zeamays L.) Production System: A Case of Nkango Irrigation Scheme in Malawi. American Journal of Agriculture and Forestry, 21. 10.11648/j.ajaf.s.2014020601.11
· publishedVersion
2014 4
Hochman, Zvi; Prestwidge, Di; Carberry, Peter S.; 2014. Crop sequences in Australia’s northern grain zone are less agronomically efficient than implied by the sum of their parts. Agricultural Systems, 129124–132. 10.1016/j.agsy.2014.06.001
closed
2014 39
Macadam, I; Pitman, Aj; Whetton, Ph; Liu, Dl; Evans, Jp; 2014. The use of uncorrected regional climate model output to force impact models: a case study for wheat simulations. Climate Research, 61215–229. 10.3354/cr01258
· publishedVersion
2014 5
Sprigg, Hayden; Belford, Robert; Milroy, Steve; Bennett, Sarita Jane; Bowran, David; 2014. Adaptations for growing wheat in the drying climate of Western Australia. Crop and Pasture Science, 65627. 10.1071/CP13352
closed
2014 18
Zeleke, Ketema Tilahun; Anwar, Muhuddin; Liu, De Li; 2014. Managing crop stubble during fallow period for soil water conservation: field experiment and modelling. Environmental Earth Sciences, 723317–3327. 10.1007/s12665-014-3235-4
closed
2014 14
Power, Brendan; Cacho, Oscar J; 2014. Identifying risk-efficient strategies using stochastic frontier analysis and simulation: An application to irrigated cropping in Australia. Agricultural Systems, 12523–32. 10.1016/j.agsy.2013.11.002
· publishedVersion
2014 16
Ahmed, Mukhtar; Van Ogtrop, F.F.; 2014. Can models help to forecast rainwater dynamics for rainfed ecosystem?. Weather and Climate Extremes, 548–55. 10.1016/j.wace.2014.07.001
cc-by-nc-nd · publishedVersion
2014 9
Zhao, Zhigan; Wang, Enli; Xue, Lihua; Wu, Yongcheng; Zang, Hecang; Qin, Xin; Zhang, Jingting; Wang, Zhimin; 2014. Accuracy of root modelling and its impact on simulated wheat yield and carbon cycling in soil. Field Crops Research, 16599–110. 10.1016/j.fcr.2014.03.018
closed
2014 25
Chauhan, Y.S.; Rachaputi, Rao C.N.; 2014. Defining agro-ecological regions for field crops in variable target production environments: A case study on mungbean in the northern grains region of Australia. Agricultural and Forest Meteorology, 194207–217. 10.1016/j.agrformet.2014.04.007
closed
2014 38
Marin, Fábio R.; Thorburn, Peter J.; da Costa, Leandro G.; Otto, Rafael; 2014. Simulating Long-Term Effects of Trash Management on Sugarcane Yield for Brazilian Cropping Systems. Sugar Tech, 16164–173. 10.1007/s12355-013-0265-2
closed
2014 30
Cichota, Rogerio; Vogeler, Iris; Snow, Val O.; Webb, Trevor H.; 2013. Ensemble pedotransfer functions to derive hydraulic properties for New Zealand soils. Soil Research, 5194. 10.1071/SR12338
closed
2013 57
Luo, Zhongkui; Wang, Enli; Bryan, Brett A.; King, Darran; Zhao, Gang; Pan, Xubin; Bende-Michl, Ulrike; 2013. Meta-modeling soil organic carbon sequestration potential and its application at regional scale. Ecological Applications, 23408–420. 10.1890/12-0672.1
· publishedVersion
2013 46
Biggs, J.S.; Thorburn, P.J.; Crimp, S.; Masters, B.; Attard, S.J.; 2013. Interactions between climate change and sugarcane management systems for improving water quality leaving farms in the Mackay Whitsunday region, Australia. Agriculture, Ecosystems & Environment, 18079–89. 10.1016/j.agee.2011.11.005
closed
2013 86
Liu, Leilei; Zhu, Yan; Tang, Liang; Cao, Weixing; Wang, Enli; 2013. Impacts of climate changes, soil nutrients, variety types and management practices on rice yield in East China: A case study in the Taihu region. Field Crops Research, 14940–48. 10.1016/j.fcr.2013.04.022
cc-by-nc-nd · publishedVersion
2013 62
Dillmann, Andreas; Heller, Gerd; Kreplin, Hans-Peter; Nitsche, Wolfgang; Peltzer, Inken; Stuermer, Arne; Yin, Jianping; 2013. Pylon Trailing Edge Blowing for the Control of CROR Unsteady Blade Loads. , 121715–722. [34]
unknown
2013 12
Chauhan, Yashvir S.; Wright, Graeme C.; Holzworth, Dean; Rachaputi, Rao C. N.; Payero, José O.; 2013. AQUAMAN: a web-based decision support system for irrigation scheduling in peanuts. Irrigation Science, 31271–283. 10.1007/s00271-011-0296-y
closed
2013 0
Kholová, Jana; McLean, Greg; Vadez, Vincent; Craufurd, Peter; Hammer, Graeme L.; 2013. Drought stress characterization of post-rainy season (rabi) sorghum in India. Field Crops Research, 14138–46. 10.1016/j.fcr.2012.10.020
cc-by-nc-nd · publishedVersion
2013 83
Chauhan, Y.S.; Solomon, K.F.; Rodriguez, D.; 2013. Characterization of north-eastern Australian environments using APSIM for increasing rainfed maize production. Field Crops Research, 144245–255. 10.1016/j.fcr.2013.01.018
closed
2013 61
Liu, Zhijuan; Hubbard, Kenneth G.; Lin, Xiaomao; Yang, Xiaoguang; 2013. Negative effects of climate warming on maize yield are reversed by the changing of sowing date and cultivar selection in Northeast China. Global Change Biology, n/a–n/a. 10.1111/gcb.12324
closed
2013 212
Zheng, Bangyou; Biddulph, Ben; Li, Dora; Kuchel, Haydn; Chapman, Scott; 2013. Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments. Journal of Experimental Botany, 643747–3761. 10.1093/jxb/ert209
cc-by-nc · publishedVersion
2013 129
Zhao, Gang; Bryan, Brett A.; King, Darran; Luo, Zhongkui; Wang, Enli; Bende-Michl, Ulrike; Song, Xiaodong; Yu, Qiang; 2013. Large-scale, high-resolution agricultural systems modeling using a hybrid approach combining grid computing and parallel processing. Environmental Modelling & Software, 41231–238. 10.1016/j.envsoft.2012.08.007
closed
2013 76
Chen, Chao; Baethgen, Walter E.; Robertson, Andrew; 2013. Contributions of individual variation in temperature, solar radiation and precipitation to crop yield in the North China Plain, 1961–2003. Climatic Change, 116767–788. 10.1007/s10584-012-0509-2
2013 103
Wang, Jing; Wang, Enli; Feng, Liping; Yin, Hong; Yu, Weidong; 2013. Phenological trends of winter wheat in response to varietal and temperature changes in the North China Plain. Field Crops Research, 144135–144. 10.1016/j.fcr.2012.12.020
closed
2013 110
Vogeler, I.; Beukes, P.; Burggraaf, V.; 2013. Evaluation of mitigation strategies for nitrate leaching on pasture-based dairy systems. Agricultural Systems, 11521–28. 10.1016/j.agsy.2012.09.012
closed
2013 54
Lobell, David B.; Hammer, Graeme L.; McLean, Greg; Messina, Carlos; Roberts, Michael J.; Schlenker, Wolfram; 2013. The critical role of extreme heat for maize production in the United States. Nature Climate Change, 3497–501. 10.1038/nclimate1832
closed
2013 953
Cichota, R.; Snow, V.O.; Vogeler, I.; 2013. Modelling nitrogen leaching from overlapping urine patches. Environmental Modelling & Software, 4115–26. 10.1016/j.envsoft.2012.10.011
closed
2013 43
Chauhan, Yashvir S.; Wright, Graeme C.; Holzworth, Dean; Rachaputi, Rao C. N.; Payero, José O.; 2013. AQUAMAN: a web-based decision support system for irrigation scheduling in peanuts. Irrigation Science, 31271–283. 10.1007/s00271-011-0296-y
closed
2013 38
Huda, A. 2013. Integrated crop and environmental management for improved productivity and food security.. Qatar Foundation Annual Research Forum, 1. 10.5339/qfarf.2013.EEP-017
closed
2013 0
Liu, Zhijuan; Hubbard, Kenneth G.; Lin, Xiaomao; Yang, Xiaoguang; 2013. Negative effects of climate warming on maize yield are reversed by the changing of sowing date and cultivar selection in N ortheast C hina. Global Change Biology, 193481–3492. 10.1111/gcb.12324
closed
2013 212
Lucci, G.M.; Shepherd, M.; Vogeler, I.; 2013. An assessment of the implications of timing and soil nitrogen dynamics during and after summer drought on Waikato Allophanic soils. Proceedings of the New Zealand Grassland Association, 191–196. 10.33584/jnzg.2013.75.2901
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2013 2
董莉霞; 李广; 刘强; 燕振刚; 罗珠珠; 2013. 旱地春小麦产量对逐日最低温度和最高温度变化响应的模拟与分析. 中国生态农业学报(中英文), 211016–1022. 10.3724/SP.J.1011.2013.01016
cc-by · publishedVersion
2013 1
Hunt, J. R.; Browne, C.; McBeath, T. M.; Verburg, K.; Craig, S.; Whitbread, A. M.; 2013. Summer fallow weed control and residue management impacts on winter crop yield though soil water and N accumulation in a winter-dominant, low rainfall region of southern Australia. Crop and Pasture Science, 64922. 10.1071/CP13237
closed
2013 77
Luo, Z.; Wang, E.; Shao, Q.; Baldock, J.A.; 2013. Uncertainty in modelled soil organic carbon changes under various cropping systems in Australian cropland. 20th International Congress on Modelling and Simulation, 1673-1679. 10.36334/modsim.2013.H4.luo
closed
2013 0
Turner, Neil C.; Rao, K.P.C.; 2013. Simulation analysis of factors affecting sorghum yield at selected sites in eastern and southern Africa, with emphasis on increasing temperatures. Agricultural Systems, 12153–62. 10.1016/j.agsy.2013.06.002
· publishedVersion
2013 38
Ahmed, Mukhtar; H. Hirani, Arvind; Asif, Muhammad; Sajad, Muhammad; 2013. Modelling Soil Water Dynamics under Rainfed Agriculture to Mitigate Climate Change. Journal of Agricultural Science, 5p90. 10.5539/jas.v5n3p90
cc-by · publishedVersion
2013 1
Ridoutt, Bradley G.; Wang, Enli; Sanguansri, Peerasak; Luo, Zhongkui; 2013. Life cycle assessment of phosphorus use efficient wheat grown in Australia. Agricultural Systems, 1202–9. 10.1016/j.agsy.2013.04.007
closed
2013 27
Vogeler, I.; Giltrap, D.; Cichota, R.; 2013. Comparison of APSIM and DNDC simulations of nitrogen transformations and N2O emissions. Science of The Total Environment, 465147–155. 10.1016/j.scitotenv.2012.09.021
closed
2013 49
Liu, Leilei; Wang, Enli; Zhu, Yan; Tang, Liang; Cao, Weixing; 2013. Quantifying three-decade changes of single rice cultivars in China using crop modeling. Field Crops Research, 14984–94. 10.1016/j.fcr.2013.04.025
closed
2013 23
Nash, David; Riffkin, Penny; Harris, Robert; Blackburn, Alan; Nicholson, Cam; McDonald, Mark; 2013. Modelling gross margins and potential N exports from cropland in south-eastern Australia. European Journal of Agronomy, 4723–32. 10.1016/j.eja.2013.01.001
cc-by-nc-nd · publishedVersion
2013 14
LIU, Zhi-Juan; YANG, Xiao-Guang; WANG, Jing; LÜ, Shuo; LI, Ke-Nan; XUN, Xin; WANG, En-Li; 2013. Adaptability of APSIM Maize Model in Northeast China. ACTA AGRONOMICA SINICA, 38740-746. 10.3724/sp.j.1006.2012.00740
closed
2013 9
Shaw, Ruth E.; Meyer, Wayne S.; McNeill, Ann; Tyerman, Stephen D.; 2013. Waterlogging in Australian agricultural landscapes: a review of plant responses and crop models. Crop and Pasture Science, 64549. 10.1071/CP13080
closed
2013 62
Vogeler, Iris; Cichota, Rogerio; Snow, Val; 2013. Identification and testing of early indicators for N leaching from urine patches. Journal of Environmental Management, 13055–63. 10.1016/j.jenvman.2013.08.047
closed
2013 12
Ramankutty, P; Ryan, M; Lawes, R; Speijers, J; Renton, M; 2013. Statistical emulators of a plant growth simulation model. Climate Research, 55253–265. 10.3354/cr01138
· publishedVersion
2013 12
Peake, Allan S.; Huth, Neil I.; Kelly, Alison M.; Bell, Kerry L.; 2013. Variation in water extraction with maize plant density and its impact on model application. Field Crops Research, 14631–37. 10.1016/j.fcr.2013.02.012
closed
2013 17
Pembleton, K. G.; Rawnsley, R. P.; Jacobs, J. L.; Mickan, F. J.; O'Brien, G. N.; Cullen, B. R.; Ramilan, T.; 2013. Evaluating the accuracy of the Agricultural Production Systems Simulator (APSIM) simulating growth, development, and herbage nutritive characteristics of forage crops grown in the south-eastern dairy regions of Australia. Crop and Pasture Science, 64147. 10.1071/CP12372
cc-by · submittedVersion
2013 36
Snow, V. O.; White, T. A.; 2013. Process-based modelling to understand which ryegrass characteristics can increase production and decrease leaching in grazed grass–legume pastures. Crop and Pasture Science, 64265. 10.1071/CP13074
closed
2013 23
Araujo, Leandro C.; Santos, Patricia M.; Rodriguez, Daniel; Pezzopane, José Ricardo M.; Oliveira, Patricia P.A.; Cruz, Pedro G.; 2013. Simulating Guinea Grass Production: Empirical and Mechanistic Approaches. Agronomy Journal, 10561–69. 10.2134/agronj2012.0245
closed
2013 37
Asseng, Senthold; Travasso, Maria I.; Ludwig, Fulco; Magrin, Graciela O.; 2013. Has climate change opened new opportunities for wheat cropping in Argentina?. Climatic Change, 117181–196. 10.1007/s10584-012-0553-y
· acceptedVersion
2013 22
Yunusa, Isa A M; Manoharan, Veeragathipillai; Harris, Rob; Lawrie, Roy; Pal, Yash; Quiton, Jonathan T; Bell, Richard; Eamus, Derek; 2013. Differential growth and yield by canola ( Brassica napus L.) and wheat ( Triticum aestivum L.) arising from alterations in chemical properties of sandy soils due to additions of fly ash: Differential responses by canola and wheat to coal fly ash addition. Journal of the Science of Food and Agriculture, 93995–1002. 10.1002/jsfa.5889
closed
2013 4
Zhang, Y.; Feng, L. P.; Wang, J.; Wang, E. L.; Xu, Y. L.; 2013. Using APSIM to explore wheat yield response to climate change in the North China Plain: the predicted adaptation of wheat cultivar types to vernalization. The Journal of Agricultural Science, 151836–848. 10.1017/S0021859612000883
closed
2013 29
Wang, Enli; Ridoutt, Brad G.; Luo, Zhongkui; Probert, Mervyn E.; 2013. Using systems modelling to explore the potential for root exudates to increase phosphorus use efficiency in cereal crops. Environmental Modelling & Software, 4650–60. 10.1016/j.envsoft.2013.02.009
closed
2013 19
My Phung, Nguyen Thi; Brown, Peter R.; Leung, Luke K.P.; 2013. Use of computer simulation models to encourage farmers to adopt best rodent management practices in lowland irrigated rice systems in An Giang Province, the Mekong Delta, Vietnam. Agricultural Systems, 11669–76. 10.1016/j.agsy.2012.11.003
closed
2013 13
Bassu, Simona; Asseng, Senthold; Giunta, Francesco; Motzo, Rosella; 2013. Optimizing triticale sowing densities across the Mediterranean Basin. Field Crops Research, 144167–178. 10.1016/j.fcr.2013.01.014
closed
2013 13
Snapp, Sieglinde; Kerr, Rachel Bezner; Smith, Alex; Ollenburger, Mary; Mhango, Wezi; Shumba, Lizzie; Gondwe, Tinkani; Kanyama-Phiri, George; 2013. Modeling and participatory farmer-led approaches to food security in a changing world: A case study from Malawi. Sécheresse, 24350–358. 10.1684/sec.2014.0409
· acceptedVersion
2013 20
Bationo, Andre; Waswa, Boaz; Kihara, Job; Adolwa, Ivan; Vanlauwe, Bernard; Saidou, Koala; Kihanda, F. M.; Warren, G. P.; 2012. Management of Soil Fertility in a Long-Term Field Trial of Semi-arid Kenya. , 85–103. [35]
unknown
2012 4
Nascimento, Alexandre Ferreira do; Mendonça, Eduardo de Sá; Leite, Luiz Fernando Carvalho; Scholberg, Johannes; Neves, Julio Cesar Lima; 2012. Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics. Scientia Agricola, 69393–401. 10.1590/S0103-90162012000600008
cc-by · publishedVersion
2012 10
Cichota, R.; Snow, V. O.; Vogeler, I.; Wheeler, D. M.; Shepherd, M. A.; 2012. Describing N leaching from urine patches deposited at different times of the year with a transfer function. Soil Research, 50694. 10.1071/SR12208
closed
2012 45
Tidjani, M. A.; Akponikpe, P. B. I.; 2012. Evaluation des stratégies paysannes d’adaptation aux changements Climatiques : Cas de la production du maïs au Nord-Bénin. African Crop Science Journal, 20425–441. 10.4314/ACSJ.V20I2
unknown
2012 55
Heinemann, Alexandre Bryan; van Oort, Pepijn A.J.; Fernandes, Diogo Simões; Maia, Aline de Holanda Nunes; 2012. Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation. Bragantia, 71572–582. 10.1590/S0006-87052012000400016
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2012 86
Lawes, R. A.; Robertson, M. J.; 2012. Effect of subtropical perennial grass pastures on nutrients and carbon in coarse-textured soils in a Mediterranean climate. Soil Research, 50551. 10.1071/SR11320
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2012 15
Stone, Luís F.; Heinemann, Alexandre B.; 2012. Simulação do manejo do nitrogênio em arroz de terras altas com o modelo ORYZA/APSIM 2000. Revista Brasileira de Engenharia Agrícola e Ambiental, 16611–617. 10.1590/S1415-43662012000600004
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2012 3
Adam, M.; Corbeels, M.; Leffelaar, P.A.; Van Keulen, H.; Wery, J.; Ewert, F.; 2012. Building crop models within different crop modelling frameworks. Agricultural Systems, 11357–63. 10.1016/j.agsy.2012.07.010
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2012 35
Timms, W. A.; Young, R. R.; Huth, N.; 2012. Implications of deep drainage through saline clay for groundwater recharge and sustainable cropping in a semi-arid catchment, Australia. Hydrology and Earth System Sciences, 161203–1219. 10.5194/hess-16-1203-2012
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Yin, Jianping; Stuermer, Arne; Aversano, Marco; 2012. Aerodynamic and Aeroacoustic Analysis of Installed Pusher-Propeller Aircraft Configurations. Journal of Aircraft, 491423–1433. 10.2514/1.C031704
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2012 12
Chapman, D.F.; Dassanayake, K.; Hill, J.O.; Cullen, B.R.; Lane, N.; 2012. Forage-based dairying in a water-limited future: Use of models to investigate farming system adaptation in southern Australia. Journal of Dairy Science, 954153–4175. 10.3168/jds.2011-5110
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2012 13
Tumbo, S. D.; Kahimba, F. C.; Mbilinyi, B. P.; Rwehumbiza, F. B.; Mahoo, H. F.; Mbungu, W. B.; Enfors, E.; 2012. Impact of projected climate change on agricultural production in semi-arid areas of Tanzania: A case of same district. African Crop Science Journal, 20453–463. [36]
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Zhang, Yi; Feng, Liping; Wang, Enli; Wang, Jing; Li, Baoguo; 2012. Evaluation of the APSIM-Wheat model in terms of different cultivars, management regimes and environmental conditions. Canadian Journal of Plant Science, 92937–949. 10.4141/cjps2011-266
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2012 59
Perry, Eileen M.; Fitzgerald, Glenn J.; Nuttall, James G.; O’Leary, Garry J.; Schulthess, Urs; Whitlock, Andrew; 2012. Rapid estimation of canopy nitrogen of cereal crops at paddock scale using a Canopy Chlorophyll Content Index. Field Crops Research, 134158–164. 10.1016/j.fcr.2012.06.003
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2012 35
Nuttall, J. G.; O'Leary, G. J.; Khimashia, N.; Asseng, S.; Fitzgerald, G.; Norton, R.; 2012. ‘Haying-off' in wheat is predicted to increase under a future climate in south-eastern Australia. Crop and Pasture Science, 63593. 10.1071/CP12062
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2012 26
Huth, N.I.; Bristow, K.L.; Verburg, K.; 2012. SWIM3: Model Use, Calibration, and Validation. Transactions of the ASABE, 551303–1313. 10.13031/2013.42243
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2012 103
Kandulu, John M.; Bryan, Brett A.; King, Darran; Connor, Jeffery D.; 2012. Mitigating economic risk from climate variability in rain-fed agriculture through enterprise mix diversification. Ecological Economics, 79105–112. 10.1016/j.ecolecon.2012.04.025
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Inman-Bamber, N.G.; Lakshmanan, P.; Park, S.; 2012. Sugarcane for water-limited environments: Theoretical assessment of suitable traits. Field Crops Research, 13495–104. 10.1016/j.fcr.2012.05.004
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2012 106
Stuermer, A.; Yin, Jianping; 2012. Installation impact on pusher CROR engine low speed performance and noise emission characteristics. International Journal of Engineering Systems Modelling and Simulation, 459. 10.1504/IJESMS.2012.044844
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2012 23
Kloss, Sebastian; Pushpalatha, Raji; Kamoyo, Kefasi J.; Schütze, Niels; 2012. Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability. Water Resources Management, 26997–1014. 10.1007/s11269-011-9906-y
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2012 74
Kim, Soo-Hyung; Yang, Yang; Timlin, Dennis J.; Fleisher, David H.; Dathe, Annette; Reddy, Vangimalla R.; Staver, Kenneth; 2012. Modeling Temperature Responses of Leaf Growth, Development, and Biomass in Maize with MAIZSIM. Agronomy Journal, 1041523–1537. 10.2134/agronj2011.0321
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2012 68
Mohanty, M.; Probert, M.E.; Reddy, K. Sammi; Dalal, R.C.; Mishra, A.K.; Subba Rao, A.; Singh, M.; Menzies, N.W.; 2012. Simulating soybean–wheat cropping system: APSIM model parameterization and validation. Agriculture, Ecosystems & Environment, 15268–78. 10.1016/j.agee.2012.02.013
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2012 72
Wang, Sha; Wang, Enli; Wang, Fei; Tang, Liang; 2012. Phenological development and grain yield of canola as affected by sowing date and climate variation in the Yangtze River Basin of China. Crop and Pasture Science, 63478. 10.1071/CP11332
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2012 42
Liu, Zhijuan; Yang, Xiaoguang; Hubbard, Kenneth G.; Lin, Xiaomao; 2012. Maize potential yields and yield gaps in the changing climate of northeast China. Global Change Biology, 183441–3454. 10.1111/j.1365-2486.2012.02774.x
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2012 245
Gaydon, D.S.; Probert, M.E.; Buresh, R.J.; Meinke, H.; Timsina, J.; 2012. Modelling the role of algae in rice crop nutrition and soil organic carbon maintenance. European Journal of Agronomy, 3935–43. 10.1016/j.eja.2012.01.004
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2012 69
Gaydon, D.S.; Probert, M.E.; Buresh, R.J.; Meinke, H.; Suriadi, A.; Dobermann, A.; 2012. Rice in cropping systems—Modelling transitions between flooded and non-flooded soil environments. European Journal of Agronomy, 399–24. 10.1016/j.eja.2012.01.003
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2012 105
Fosu-Mensah, B. Y.; MacCarthy, D. S.; Vlek, P. L. G.; Safo, E. Y.; 2012. Simulating impact of seasonal climatic variation on the response of maize (Zea mays L.) to inorganic fertilizer in sub-humid Ghana. Nutrient Cycling in Agroecosystems, 94255–271. 10.1007/s10705-012-9539-4
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2012 44
Surendran Nair, Sujithkumar; Kang, Shujiang; Zhang, Xuesong; Miguez, Fernando E.; Izaurralde, R. Cesar; Post, Wilfred M.; Dietze, Michael C.; Lynd, Lee R.; Wullschleger, Stan D.; 2012. Bioenergy crop models: descriptions, data requirements, and future challenges. GCB Bioenergy, 4620–633. 10.1111/j.1757-1707.2012.01166.x
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2012 96
McCarthy, D. S.; Vlek, P. L. G.; 2012. Impact of climate change on sorghum production under different nutrient and crop residue management in semi-arid region of Ghana: A modeling perspective. African Crop Science Journal, 20243–259. 10.4314/acsj.v20i2.
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2012 30
Li, F.Y.; Vibart, R.; Dynes, R.A.; Vogeler, I.; Brown, M.; 2012. Effects of weather variability on sheep and beef farming in northern Southland, New Zealand: A modelling analysis. Proceedings of the New Zealand Grassland Association, 77–83. 10.33584/jnzg.2012.74.2887
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2012 11
Zhang, Y., Feng, L., Wang, E., Wang, J., & Li, B. 2012. Evaluation of the APSIM-Wheat model in terms of different cultivars, management regimes and environmental conditions. Canadian Journal of Plant Science, 92937-949. 10.4141/cjps2011-266
· publishedVersion
2012 24
Tidjani, M. A., & Akponikpe, P. B. I. 2012. Évaluation des stratégies paysannes d’adaptation aux changements climatiques: cas de la production du maïs au Nord-Bénin. African crop science journal, 20425-441. 10.4314/ACSJ.V20I2
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2012 25
李广; 李玥; 高宝; 罗珠珠; 王琦; 刘强; 燕振刚; 赵有益; 2012. 基于APSIM模型旱地春小麦产量对温度和CO2浓度升高的响应. 中国生态农业学报(中英文), 201088–1095. 10.3724/SP.J.1011.2012.01088
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2012 2
Fosu-Mensah, B. Y.; MacCarthy, D. S.; Vlek, P. L. G.; Safo, E. Y.; 2012. Simulating impact of seasonal climatic variation on the response of maize (Zea mays L.) to inorganic fertilizer in sub-humid Ghana. Nutrient Cycling in Agroecosystems, 94255–271. 10.1007/s10705-012-9539-4
closed
2012 0
李广; 李玥; 高宝; 罗珠珠; 王琦; 刘强; 燕振刚; 赵有益; 2012. 基于APSIM模型旱地春小麦产量对温度和CO2浓度升高的响应. 中国生态农业学报(中英文), 201088–1095. 10.3724/SP.J.1011.2012.01088
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2012 3
Mohanty, M.; Reddy, K. Sammi; Probert, M.E.; Dalal, R.C.; Rao, A. Subba; Menzies, N.W.; 2011. Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study. Ecological Modelling, 222719–726. 10.1016/j.ecolmodel.2010.10.027
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2011 118
Kandulu, John; Kandulu, John; 2011. Assessing the potential for beneficial diversification in rain-fed agricultural enterprises. , . 10.22004/AG.ECON.100568
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2011 3
Ramilan, T.; Farquharson, R.; George, B.; Sammonds, d.M.; Vietz, G.; Yen, J.; Shenton, W.; Dassanyake, K.; Cullen, B.; Stewardson, M.; Western, A.; 2011. An environmental economic assessment of water sharing alternatives for the Broken catchment in Northern Victoria. 19th International Congress on Modelling and Simulation, 1386-1392. 10.36334/modsim.2011.D3.ramilan
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2011 0
Mupangwa, Walter; Dimes, John; Walker, Sue; Twomlow, Stephen; 2011. Measuring and simulating maize (Zea mays L.) yield responses to reduced tillage and mulching under semi-arid conditions. Agricultural Sciences, 2167–174. 10.4236/as.2011.23023
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2011 24
Nascimento, Alexandre Ferreira do; Mendonça, Eduardo de Sá; Leite, Luiz Fernando Carvalho; Neves, Júlio Cesar Lima; 2011. Calibration of the century, apsim and ndicea models of decomposition and n mineralization of plant residues in the humid tropics. Revista Brasileira de Ciência do Solo, 35917–928. 10.1590/S0100-06832011000300026
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2011 8
Xing, Hongtao; Wang, Enli; Smith, Chris J.; Rolston, Denis; Yu, Qiang; 2011. Modelling nitrous oxide and carbon dioxide emission from soil in an incubation experiment. Geoderma, 167328–339. 10.1016/j.geoderma.2011.07.003
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2011 39
Jaradat, Abdullah A.; Boody, George; 2011. Modeling Agroecosystem Services under Simulated Climate and Land-Use Changes. ISRN Ecology, 20111–17. 10.5402/2011/568723
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2011 11
Brown, Peter R.; My Phung, Nguyen Thi; Gaydon, Donald S.; 2011. Rats in rice: linking crop and pest models to explore management strategies. Wildlife Research, 38560. 10.1071/WR10194
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2011 9
Lisson, S.N.; Cotching, W.E.; 2011. Modelling the fate of water and nitrogen in the mixed vegetable farming systems of northern Tasmania, Australia. Agricultural Systems, 104600–608. 10.1016/j.agsy.2011.06.002
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2011 38
Holzworth, Dean P.; Huth, Neil I.; deVoil, Peter G.; 2011. Simple software processes and tests improve the reliability and usefulness of a model. Environmental Modelling & Software, 26510–516. 10.1016/j.envsoft.2010.10.014
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2011 45
Florin, M. J.; McBratney, A. B.; Whelan, B. M.; Minasny, B.; 2011. Inverse meta-modelling to estimate soil available water capacity at high spatial resolution across a farm. Precision Agriculture, 12421–438. 10.1007/s11119-010-9184-3
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2011 18
Mupangwa, W.; Jewitt, G.P.W.; 2011. Simulating the impact of no-till systems on field water fluxes and maize productivity under semi-arid conditions. Physics and Chemistry of the Earth, Parts A/B/C, 361004–1011. 10.1016/j.pce.2011.07.069
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2011 20
Hunt, J. R.; Kirkegaard, J. A.; 2011. Re-evaluating the contribution of summer fallow rain to wheat yield in southern Australia. Crop and Pasture Science, 62915. 10.1071/CP11268
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2011 104
Luo, Zhongkui; Wang, Enli; Sun, Osbert J.; Smith, Chris J.; Probert, Mervyn E.; 2011. Modeling long-term soil carbon dynamics and sequestration potential in semi-arid agro-ecosystems. Agricultural and Forest Meteorology, 1511529–1544. 10.1016/j.agrformet.2011.06.011
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2011 104
Bassu, Simona; Asseng, Senthold; Richards, Richard; 2011. Yield benefits of triticale traits for wheat under current and future climates. Field Crops Research, 12414–24. 10.1016/j.fcr.2011.05.020
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2011 44
Zhu, XinGuang; Zhang, GuiLian; Tholen, Danny; Wang, Yu; Xin, ChangPeng; Song, QingFeng; 2011. The next generation models for crops and agro-ecosystems. Science China Information Sciences, 54589–597. 10.1007/s11432-011-4197-8
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2011 28
Thorburn, P.J.; Biggs, J.S.; Attard, S.J.; Kemei, J.; 2011. Environmental impacts of irrigated sugarcane production: Nitrogen lost through runoff and leaching. Agriculture, Ecosystems & Environment, 1441–12. 10.1016/j.agee.2011.08.003
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2011 128
Bell, Lindsay W.; Kirkegaard, John A.; Swan, Antony; Hunt, James R.; Huth, Neil I.; Fettell, Neil A.; 2011. Impacts of soil damage by grazing livestock on crop productivity. Soil and Tillage Research, 11319–29. 10.1016/j.still.2011.02.003
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2011 144
Li, Fy; Snow, Vo; Holzworth, Dp; 2011. Modelling the seasonal and geographical pattern of pasture production in New Zealand. New Zealand Journal of Agricultural Research, 54331–352. 10.1080/00288233.2011.613403
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Yang, X.; Chen, Ch.; Luo, Q.; Li, L.; Yu, Q.; 2011. Climate change effects on wheat yield and water use in oasis cropland. International Journal of Plant Production, 5. 10.22069/ijpp.2012.722
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2011 25
Gaydon, D.S.; Humphreys, E.; Eberbach, P.L.; 2011. The effects of mulch and irrigation management on wheat in Punjab, India—Evaluation of the APSIM model. Field Crops Research, 1241–13. 10.1016/j.fcr.2011.04.016
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2011 73
Parsons, David; Nicholson, Charles F.; Blake, Robert W.; Ketterings, Quirine M.; Ramírez-Aviles, Luis; Fox, Danny G.; Tedeschi, Luis O.; Cherney, Jerome H.; 2011. Development and evaluation of an integrated simulation model for assessing smallholder crop–livestock production in Yucatán, Mexico. Agricultural Systems, 1041–12. 10.1016/j.agsy.2010.07.006
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2011 53
Power, B.; Rodriguez, D.; deVoil, P.; Harris, G.; Payero, J.; 2011. A multi-field bio-economic model of irrigated grain–cotton farming systems. Field Crops Research, 124171–179. 10.1016/j.fcr.2011.03.018
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2011 50
Dixit, P. N.; Cooper, P. J. M.; Dimes, J.; Rao, K. P.; 2011. ADDING VALUE TO FIELD-BASED AGRONOMIC RESEARCH THROUGH CLIMATE RISK ASSESSMENT: A CASE STUDY OF MAIZE PRODUCTION IN KITALE, KENYA. Experimental Agriculture, 47317–338. 10.1017/S0014479710000773
other-oa · submittedVersion
2011 42
Chenu, K.; Cooper, M.; Hammer, G. L.; Mathews, K. L.; Dreccer, M. F.; Chapman, S. C.; 2011. Environment characterization as an aid to wheat improvement: interpreting genotype–environment interactions by modelling water-deficit patterns in North-Eastern Australia. Journal of Experimental Botany, 621743–1755. 10.1093/jxb/erq459
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Moore, A.D.; Robertson, M.J.; Routley, R.; 2011. Evaluation of the water use efficiency of alternative farm practices at a range of spatial and temporal scales: A conceptual framework and a modelling approach. Agricultural Systems, 104162–174. 10.1016/j.agsy.2010.05.007
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2011 50
Akponikpè, P.B.I.; Minet, J.; Gérard, B.; Defourny, P.; Bielders, C.L.; 2011. Spatial fields’ dispersion as a farmer strategy to reduce agro-climatic risk at the household level in pearl millet-based systems in the Sahel: A modeling perspective. Agricultural and Forest Meteorology, 151215–227. 10.1016/j.agrformet.2010.10.007
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2011 35
Huth, N.I.; Thorburn, P.J.; Radford, B.J.; Thornton, C.M.; 2010. Impacts of fertilisers and legumes on N2O and CO2 emissions from soils in subtropical agricultural systems: A simulation study. Agriculture, Ecosystems & Environment, 136351–357. 10.1016/j.agee.2009.12.016
closed
2010 101
Chauhan, Y. S.; Wright, G. C.; Rachaputi, R. C. N.; Holzworth, D.; Broome, A.; Krosch, S.; Robertson, M. J.; 2010. Application of a model to assess aflatoxin risk in peanuts. The Journal of Agricultural Science, 148341–351. 10.1017/S002185961000002X
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2010 42
Thorburn, P.J.; Biggs, J.S.; Collins, K.; Probert, M.E.; 2010. Using the APSIM model to estimate nitrous oxide emissions from diverse Australian sugarcane production systems. Agriculture, Ecosystems & Environment, 136343–350. 10.1016/j.agee.2009.12.014
closed
2010 167
Luo, Q; Bellotti, W; Hayman, P; Williams, M; Devoil, P; 2010. Effects of changes in climatic variability on agricultural production. Climate Research, 42111–117. 10.3354/cr00868
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Chen, Chao; Wang, Enli; Yu, Qiang; 2010. Modelling the effects of climate variability and water management on crop water productivity and water balance in the North China Plain. Agricultural Water Management, 971175–1184. 10.1016/j.agwat.2008.11.012
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2010 210
Manschadi, A. M.; Christopher, J. T.; Hammer, G. L.; Devoil, P.; 2010. Experimental and modelling studies of drought‐adaptive root architectural traits in wheat ( Triticum aestivum L.). Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, 144458–462. 10.1080/11263501003731805
closed
2010 86
Hammer, Graeme L.; van Oosterom, Erik; McLean, Greg; Chapman, Scott C.; Broad, Ian; Harland, Peter; Muchow, Russell C.; 2010. Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. Journal of Experimental Botany, 612185–2202. 10.1093/jxb/erq095
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Akponikpè, P.B. Irénikatché; Gérard, Bruno; Michels, Karlheinz; Bielders, Charles; 2010. Use of the APSIM model in long term simulation to support decision making regarding nitrogen management for pearl millet in the Sahel. European Journal of Agronomy, 32144–154. 10.1016/j.eja.2009.09.005
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2010 83
Holzworth, Dean P.; Huth, Neil I.; de Voil, Peter G.; 2010. Simplifying environmental model reuse. Environmental Modelling & Software, 25269–275. 10.1016/j.envsoft.2008.10.018
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Chen, Chao; Wang, Enli; Yu, Qiang; 2010. Modeling Wheat and Maize Productivity as Affected by Climate Variation and Irrigation Supply in North China Plain. Agronomy Journal, 1021037–1049. 10.2134/agronj2009.0505
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2010 95
Brown, Peter D.; Cochrane, Thomas A.; Krom, Thomas D.; 2010. Optimal on-farm irrigation scheduling with a seasonal water limit using simulated annealing. Agricultural Water Management, 97892–900. 10.1016/j.agwat.2010.01.020
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2010 69
Whitbread, A.M.; Robertson, M.J.; Carberry, P.S.; Dimes, J.P.; 2010. How farming systems simulation can aid the development of more sustainable smallholder farming systems in southern Africa. European Journal of Agronomy, 3251–58. 10.1016/j.eja.2009.05.004
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Sadras, V.O.; Rodriguez, D.; 2010. Modelling the nitrogen-driven trade-off between nitrogen utilisation efficiency and water use efficiency of wheat in eastern Australia. Field Crops Research, 118297–305. 10.1016/j.fcr.2010.06.010
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2010 83
Ludwig, Fulco; Asseng, Senthold; 2010. Potential benefits of early vigor and changes in phenology in wheat to adapt to warmer and drier climates. Agricultural Systems, 103127–136. 10.1016/j.agsy.2009.11.001
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Cichota, R.; Vogeler, I.; Snow, V.O.; Shepperd, M.; 2010. Modelling the effect of a nitrification inhibiter on N leaching from grazed pastures. Proceedings of the New Zealand Grassland Association, 43–47. 10.33584/jnzg.2010.72.2815
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Reynolds, M. P.; Hodson, D.; White, J.; 2010. GIS and crop simulation modelling applications in climate change research.. , 245–262. [37]
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2010 27
Hammer, Graeme L.; van Oosterom, Erik; McLean, Greg; Chapman, Scott C.; Broad, Ian; Harland, Peter; Muchow, Russell C.; 2010. Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. Journal of Experimental Botany, 612185–2202. 10.1093/jxb/erq095
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Casalino, Damiano; 2010. Aeroacoustics research in Europe: The CEAS-ASC report on 2009 highlights. Journal of Sound and Vibration, 3294810–4828. 10.1016/j.jsv.2010.06.001
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2010 25
Li, G.; Huang, G.-B.; 2010. China Science Journal. Chinese Journal of Eco-Agriculture, 342-347. 10.3724/SP.J.1011.2010.00342
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2010 1
Hayman, P. T.; Whitbread, A. M.; Gobbett, D. L.; 2010. Erratum to: The impact of El Niño Southern Oscillation on seasonal drought in the southern Australian grainbelt. Crop and Pasture Science, 61677. 10.1071/CP09221_ER
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2010 25
Lorençoni, Rogério; Dourado Neto, Durval; Heinemann, Alexandre Bryan; 2010. Calibração e avaliação do modelo ORYZA-APSIM para o arroz de terras altas no Brasil. Revista Ciência Agronômica, 41605–613. 10.1590/S1806-66902010000400013
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2010 16
Hirschel, Ernst Heinrich; Schröder, Wolfgang; Fujii, Kozo; Haase, Werner; Leer, Bram; Leschziner, Michael A.; Pandolfi, Maurizio; Periaux, Jacques; Rizzi, Arthur; Roux, Bernard; Shokin, Yurii I.; Dillmann, Andreas; Heller, Gerd; Klaas, Michael; Kreplin, Hans-Peter; Nitsche, Wolfgang; Stuermer, Arne; Yin, Jianping; 2010. Aerodynamic and Aeroacoustic Analysis of Contra-Rotating Open Rotor Propulsion Systems at Low-Speed Flight Conditions. , 112481–488. [38]
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2010 11
Viscarra Rossel, Raphael A.; McBratney, Alex B.; Minasny, Budiman; Florin, M.J.; McBratney, A.B.; Whelan, B.M.; 2010. Inverse Meta-modelling of Yield-Monitor Data for Estimating Soil-Available Water-Holding Capacities at a Farm Resolution of 10 m. , 413–421. [39]
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2010 0
Chauhan, Yashvir S.; 2010. Potential productivity and water requirements of maize–peanut rotations in Australian semi-arid tropical environments—A crop simulation study. Agricultural Water Management, 97457–464. 10.1016/j.agwat.2009.11.005
closed
2010 9
Mkoga, Z.J.; Tumbo, S.D.; Kihupi, N.; Semoka, J.; 2010. Extrapolating effects of conservation tillage on yield, soil moisture and dry spell mitigation using simulation modelling. Physics and Chemistry of the Earth, Parts A/B/C, 35686–698. 10.1016/j.pce.2010.07.036
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2010 44
Oliver, Yvette M.; Robertson, Michael J.; Weeks, Cameron; 2010. A new look at an old practice: Benefits from soil water accumulation in long fallows under Mediterranean conditions. Agricultural Water Management, 98291–300. 10.1016/j.agwat.2010.08.024
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2010 50
Song, Youhong; Birch, Colin; Qu, Shanshan; Dohert, Al; Hanan, Jim; 2010. Analysis and Modelling of the Effects of Water Stress on Maize Growth and Yield in Dryland Conditions. Plant Production Science, 13199–208. 10.1626/pps.13.199
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2010 47
Florin, M.J.; McBratney, A.B.; Whelan, B.M.; 2009. Quantification and comparison of wheat yield variation across space and time. European Journal of Agronomy, 30212–219. 10.1016/j.eja.2008.10.003
closed
2009 31
Singh, D. K.; Strahan, R.; Christodoulou, N.; Cawley, S.; 2009. Validating economic and environmental sustainability of a short-term summer forage legume in dryland wheat cropping systems in south-west Queensland. Animal Production Science, 49816. 10.1071/AN09016
closed
2009 9
McMaster, G.S.; Hargreaves, J.N.G.; 2009. CANON in D(esign): Composing scales of plant canopies from phytomers to whole-plants using the composite design pattern. NJAS - Wageningen Journal of Life Sciences, 5739–51. 10.1016/j.njas.2009.07.008
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2009 10
Oliver, Y. M.; Robertson, M. J.; Stone, P. J.; Whitbread, A.; 2009. Improving estimates of water-limited yield of wheat by accounting for soil type and within-season rainfall. Crop and Pasture Science, 601137. 10.1071/CP09122
closed
2009 60
Cao, Weixing; White, Jeffrey W.; Wang, Enli; Monks, D. P.; Moot, D. J.; Brown, H. E.; Teixeira, E. I.; 2009. APSIM-Lucerne Validation in the Temperate Climate of New Zealand. , 265–270. [40]
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2009 2
Whish, J. P. M.; Price, L.; Castor, P. A.; 2009. Do spring cover crops rob water and so reduce wheat yields in the northern grain zone of eastern Australia?. Crop and Pasture Science, 60517. 10.1071/CP08397
closed
2009 25
Anwar, M. R.; O'Leary, G. J.; Rab, M. A.; Fisher, P. D.; Armstrong, R. D.; 2009. Advances in precision agriculture in south-eastern Australia. V. Effect of seasonal conditions on wheat and barley yield response to applied nitrogen across management zones. Crop and Pasture Science, 60901. 10.1071/CP08351
closed
2009 27
Hammer, Graeme L.; Van Oosterom, Erik; McLean, Greg; Chapman, Scott; 2009. Designing the sorghum crop model in APSIM to simulate the physiology and genetics of complex adaptive traits. Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, 153S222. 10.1016/j.cbpa.2009.04.550
closed
2009 2
Wang, Enli; Xu, J.; Jiang, Q.; Austin, J.; 2009. Assessing the spatial impact of climate on wheat productivity and the potential value of climate forecasts at a regional level. Theoretical and Applied Climatology, 95311–330. 10.1007/s00704-008-0009-5
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2009 23
Paydar, Zahra; Gaydon, Donald; Chen, Yun; 2009. A methodology for up-scaling irrigation losses. Irrigation Science, 27347–356. 10.1007/s00271-009-0151-6
closed
2009 14
Zingore, S.; González-Estrada, E.; Delve, R.J.; Herrero, M.; Dimes, J.P.; Giller, K.E.; 2009. An integrated evaluation of strategies for enhancing productivity and profitability of resource-constrained smallholder farms in Zimbabwe. Agricultural Systems, 10157–68. 10.1016/j.agsy.2009.03.003
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2009 49
Robertson, Michael; Bathgate, Andrew; Moore, Andrew; Lawes, Roger; Lilley, Julianne; 2009. Seeking simultaneous improvements in farm profit and natural resource indicators: a modelling analysis. Animal Production Science, 49826. 10.1071/AN09008
closed
2009 45
Ncube, Bongani; Dimes, John P.; van Wijk, Mark T.; Twomlow, Steve J.; Giller, Ken E.; 2009. Productivity and residual benefits of grain legumes to sorghum under semi-arid conditions in south-western Zimbabwe: Unravelling the effects of water and nitrogen using a simulation model. Field Crops Research, 110173–184. 10.1016/j.fcr.2008.08.001
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2009 63
Lawes, R.A.; Oliver, Y.M.; Robertson, M.J.; 2009. Integrating the effects of climate and plant available soil water holding capacity on wheat yield. Field Crops Research, 113297–305. 10.1016/j.fcr.2009.06.008
closed
2009 69
MacCarthy, Dilys S.; Sommer, Rolf; Vlek, Paul L.G.; 2009. Modeling the impacts of contrasting nutrient and residue management practices on grain yield of sorghum (Sorghum bicolor (L.) Moench) in a semi-arid region of Ghana using APSIM. Field Crops Research, 113105–115. 10.1016/j.fcr.2009.04.006
closed
2009 65
Wang, Jing; Wang, Enli; Luo, Qunying; Kirby, Mac; 2009. Modelling the sensitivity of wheat growth and water balance to climate change in Southeast Australia. Climatic Change, 9679–96. 10.1007/s10584-009-9599-x
closed
2009 74
Bell, Lindsay W.; Hargreaves, John N. G.; Lawes, Roger A.; Robertson, Michael J.; 2009. Sacrificial grazing of wheat crops: identifying tactics and opportunities in Western Australia's grainbelt using simulation approaches. Animal Production Science, 49797. 10.1071/AN09014
closed
2009 27
Bassu, Simona; Asseng, Senthold; Motzo, Rosella; Giunta, Francesco; 2009. Optimising sowing date of durum wheat in a variable Mediterranean environment. Field Crops Research, 111109–118. 10.1016/j.fcr.2008.11.002
closed
2009 145
Carberry, P. S.; Hochman, Z.; Hunt, J. R.; Dalgliesh, N. P.; McCown, R. L.; Whish, J. P. M.; Robertson, M. J.; Foale, M. A.; Poulton, P. L.; van Rees, H.; 2009. Re-inventing model-based decision support with Australian dryland farmers. 3. Relevance of APSIM to commercial crops. Crop and Pasture Science, 601044. 10.1071/CP09052
closed
2009 105
Dalgliesh, N. P.; Foale, M. A.; McCown, R. L.; 2009. Re-inventing model-based decision support with Australian dryland farmers. 2. Pragmatic provision of soil information for paddock-specific simulation and farmer decision making. Crop and Pasture Science, 601031. 10.1071/CP08459
closed
2009 51
Everingham, Y.L.; Smyth, C.W.; Inman-Bamber, N.G.; 2009. Ensemble data mining approaches to forecast regional sugarcane crop production. Agricultural and Forest Meteorology, 149689–696. 10.1016/j.agrformet.2008.10.018
closed
2009 57
Hochman, Z.; Holzworth, D.; Hunt, J. R.; 2009. Potential to improve on-farm wheat yield and WUE in Australia. Crop and Pasture Science, 60708. 10.1071/CP09064
closed
2009 142
Delve, R. J.; Probert, M. E.; Cobo, J. G.; Ricaurte, J.; Rivera, M.; Barrios, E.; Rao, I. M.; 2009. Simulating phosphorus responses in annual crops using APSIM: model evaluation on contrasting soil types. Nutrient Cycling in Agroecosystems, 84293–306. 10.1007/s10705-008-9243-6
closed
2009 50
Luo, Qunying; Bellotti, William; Williams, Martin; Wang, Enli; 2009. Adaptation to climate change of wheat growing in South Australia: Analysis of management and breeding strategies. Agriculture, Ecosystems & Environment, 129261–267. 10.1016/j.agee.2008.09.010
closed
2009 112
Moore, Andrew D.; 2009. Opportunities and trade-offs in dual-purpose cereals across the southern Australian mixed-farming zone: a modelling study. Animal Production Science, 49759. 10.1071/AN09006
closed
2009 59
Birch, C. J.; Stephen, K.; McLean, G.; Doherty, A.; Hammer, G. L.; Robertson, M. J.; 2008. Reliability of production of quick to medium maturity maize in areas of variable rainfall in north-east Australia. Australian Journal of Experimental Agriculture, 48326. 10.1071/EA06104
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2008 25
Moeller, Carina; Smith, Ian; Asseng, Senthold; Ludwig, Fulco; Telcik, Nicola; 2008. The potential value of seasonal forecasts of rainfall categories—Case studies from the wheatbelt in Western Australia's Mediterranean region. Agricultural and Forest Meteorology, 148606–618. 10.1016/j.agrformet.2007.11.004
· acceptedVersion
2008 53
Chenu, Karine; Chapman, Scott C.; Hammer, Graeme L.; Mclean, Greg; Salah, Halim Ben Haj; Tardieu, François; 2008. Short-term responses of leaf growth rate to water deficit scale up to whole-plant and crop levels: an integrated modelling approach in maize. Plant, Cell & Environment, 31378–391. 10.1111/j.1365-3040.2007.01772.x
· publishedVersion
2008 144
Peake, A. S.; Robertson, M. J.; Bidstrup, R. J.; 2008. Optimising maize plant population and irrigation strategies on the Darling Downs using the APSIM crop simulation model. Australian Journal of Experimental Agriculture, 48313. 10.1071/EA06108
closed
2008 28
Chikowo, R.; Corbeels, M.; Tittonell, P.; Vanlauwe, B.; Whitbread, A.; Giller, K.E.; 2008. Aggregating field-scale knowledge into farm-scale models of African smallholder systems: Summary functions to simulate crop production using APSIM. Agricultural Systems, 97151–166. 10.1016/j.agsy.2008.02.008
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2008 42
Anwar, M. R.; Rodriguez, D.; Liu, D. L.; Power, S.; O'Leary, G. J.; 2008. Quality and potential utility of ENSO-based forecasts of spring rainfall and wheat yield in south-eastern Australia. Australian Journal of Agricultural Research, 59112. 10.1071/AR07061
closed
2008 30
Wang, Enli; Xu, Johnny H.; Smith, Chris J.; 2008. Value of historical climate knowledge, SOI-based seasonal climate forecasting and stored soil moisture at sowing in crop nitrogen management in south eastern Australia. Agricultural and Forest Meteorology, 1481743–1753. 10.1016/j.agrformet.2008.06.004
closed
2008 33
Birch, C. J.; McLean, G.; Sawers, A.; 2008. Analysis of high yielding maize production - a study based on a commercial crop. Australian Journal of Experimental Agriculture, 48296. 10.1071/EA06103
closed
2008 11
Chauhan, Y. S.; Wright, G. C.; Rachaputi, N. C.; 2008. Modelling climatic risks of aflatoxin contamination in maize. Australian Journal of Experimental Agriculture, 48358. 10.1071/EA06101
closed
2008 69
Chauhan, Yash; Wright, Graeme; Rachaputi, Nageswararao; McCosker, Kevin; 2008. Identifying chickpea homoclimes using the APSIM chickpea model. Australian Journal of Agricultural Research, 59260. 10.1071/AR07380
closed
2008 25
Asseng, S.; Milroy, S.P.; Poole, M.L.; 2008. Systems analysis of wheat production on low water-holding soils in a Mediterranean-type environment. Field Crops Research, 10597–106. 10.1016/j.fcr.2007.08.003
closed
2008 47
Bryant, J. R.; Snow, V. O.; 2008. Modelling pastoral farm agro‐ecosystems: A review. New Zealand Journal of Agricultural Research, 51349–363. 10.1080/00288230809510466
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2008 67
Milroy, S.P.; Asseng, S.; Poole, M.L.; 2008. Systems analysis of wheat production on low water-holding soils in a Mediterranean-type environment. Field Crops Research, 107211–220. 10.1016/j.fcr.2008.02.008
closed
2008 31
Huth, N.I.; Carberry, P.S.; Cocks, B.; Graham, S.; McGinness, H.M.; O’Connell, D.A.; 2008. Managing drought risk in eucalypt seedling establishment: An analysis using experiment and model. Forest Ecology and Management, 2553307–3317. 10.1016/j.foreco.2008.02.024
closed
2008 11
Chen, W.; Shen, Y.Y.; Robertson, M.J.; Probert, M.E.; Bellotti, W.D.; 2008. Simulation analysis of lucerne–wheat crop rotation on the Loess Plateau of Northern China. Field Crops Research, 108179–187. 10.1016/j.fcr.2008.04.010
cc-by-nc · submittedVersion
2008 36
Bell, Lindsay W.; Robertson, Michael J.; Revell, Dean K.; Lilley, Julianne M.; Moore, Andrew D.; 2008. Approaches for assessing some attributes of feed-base systems in mixed farming enterprises. Australian Journal of Experimental Agriculture, 48789. 10.1071/EA07421
closed
2008 36
Muermann, Alex; 2008. Investors and Markets: Portfolio Choices, Asset Prices, and Investment Advice. William F. Sharpe. Princeton University Press, 2006, ISBN 0-691-12842-1, 240 pages.. Journal of Pension Economics and Finance, 7255–255. 10.1017/S1474747208003600
closed
2008 2
Heng, L.K.; Asseng, S.; Mejahed, K.; Rusan, M.; 2007. Optimizing wheat productivity in two rain-fed environments of the West Asia–North Africa region using a simulation model. European Journal of Agronomy, 26121–129. 10.1016/j.eja.2006.09.001
closed
2007 95
Malone, R.W.; Huth, N.; Carberry, P.S.; Ma, L.; Kaspar, T.C.; Karlen, D.L.; Meade, T.; Kanwar, R.S.; Heilman, P.; 2007. Evaluating and predicting agricultural management effects under tile drainage using modified APSIM. Geoderma, 140310–322. 10.1016/j.geoderma.2007.04.014
· submittedVersion
2007 84
Zhang, Xike; Lee, Jae-Hong; Abawi, Yahya; Kim, Young-ho; McClymont, David; Kim, Hee-Dong; 2007. Testing the simulation capability of APSIM-ORYZA under different levels of nitrogen fertiliser and transplanting time regimes in Korea. Australian Journal of Experimental Agriculture, 471446. 10.1071/EA05363
closed
2007 24
Wong, M. T. F.; Asseng, S.; 2007. Yield and environmental benefits of ameliorating subsoil constraints under variable rainfall in a Mediterranean environment. Plant and Soil, 29729–42. 10.1007/s11104-007-9316-3
closed
2007 47
Brown, Peter R.; Huth, Neil I.; Banks, Peter B.; Singleton, Grant R.; 2007. Relationship between abundance of rodents and damage to agricultural crops. Agriculture, Ecosystems & Environment, 120405–415. 10.1016/j.agee.2006.10.016
closed
2007 108
Kahinda, Jean-marc Mwenge; Rockström, Johan; Taigbenu, Akpofure E.; Dimes, John; 2007. Rainwater harvesting to enhance water productivity of rainfed agriculture in the semi-arid Zimbabwe. Physics and Chemistry of the Earth, Parts A/B/C, 321068–1073. 10.1016/j.pce.2007.07.011
closed
2007 115
Lilley, J. M.; Kirkegaard, J. A.; 2007. Seasonal variation in the value of subsoil water to wheat: simulation studies in southern New South Wales. Australian Journal of Agricultural Research, 581115. 10.1071/AR07046
closed
2007 76
Brennan, L. E.; Robertson, M. J.; Dalgliesh, N. P.; Brown, S.; 2007. Pay-offs to zone management in a variable climate: an example of nitrogen fertiliser on wheat. Australian Journal of Agricultural Research, 581046. 10.1071/AR06257
closed
2007 11
Farré, Imma; Robertson, Michael; Asseng, Senthold; 2007. Reliability of canola production in different rainfall zones of Western Australia. Australian Journal of Agricultural Research, 58326. 10.1071/AR06176
closed
2007 17
Whish, J. P. M.; Castor, P.; Carberry, P. S.; 2007. Managing production constraints to the reliability of chickpea (Cicer arietinum L.) within marginal areas of the northern grains region of Australia. Australian Journal of Agricultural Research, 58396. 10.1071/AR06179
closed
2007 31
Chauhan, Yash; Wright, Graeme; Rachaputi, Nageswara Rao; Krosch, Stephen; Robertson, Michael; Hargreaves, John; Broome, Alan; 2007. Using APSIM-soiltemp to simulate soil temperature in the podding zone of peanut. Australian Journal of Experimental Agriculture, 47992. 10.1071/EA06137
· submittedVersion
2007 10
Snow, V. O.; Houlbrooke, D. J.; Huth, N. I.; 2007. Predicting soil water, tile drainage, and runoff in a mole‐tile drained soil. New Zealand Journal of Agricultural Research, 5013–24. 10.1080/00288230709510278
· publishedVersion
2007 21
Moeller, Carina; Pala, Mustafa; Manschadi, Ahmad M.; Meinke, Holger; Sauerborn, Joachim; 2007. Assessing the sustainability of wheat-based cropping systems using APSIM: model parameterisation and evaluation. Australian Journal of Agricultural Research, 5875. 10.1071/AR06186
· acceptedVersion
2007 25
Whitbread, A. M.; Clem, R. L.; 2006. Graze to grain—measuring and modelling the effects of grazed pasture leys on soil nitrogen and sorghum yield on a Vertosol soil in the Australian subtropics. Australian Journal of Agricultural Research, 57489. 10.1071/AR05189
· submittedVersion
2006 16
Zingore, Shamie; Gonzalez-Estrada, E.; Delve, Robert J.; Dimes, J. P.; Herrero, Mario; Murwira, H. K.; Giller, Ken E.; 2006. Evaluation of Resource Management Options for Smallholder Farms Using an Integrated Modelling Approach. , . [41]
unknown
2006 5
Dolling, P. J.; Fillery, I. R. P.; Ward, P. R.; Asseng, S.; Robertson, M. J.; 2006. Consequences of rainfall during summer - autumn fallow on available soil water and subsequent drainage in annual-based cropping systems. Australian Journal of Agricultural Research, 57281. 10.1071/AR04103
closed
2006 36
Wessolek, Gerd; Asseng, Senthold; 2006. Trade-off between wheat yield and drainage under current and climate change conditions in northeast Germany. European Journal of Agronomy, 24333–342. 10.1016/j.eja.2005.11.001
closed
2006 57
Meier, E. A.; Thorburn, P. J.; Probert, M. E.; 2006. Occurrence and simulation of nitrification in two contrasting sugarcane soils from the Australian wet tropics. Soil Research, 441. 10.1071/SR05004
closed
2006 36
Hill, J. O.; Robertson, M. J.; Pengelly, B. C.; Whitbread, A. M.; Hall, C. A.; 2006. Simulation modelling of lablab (Lablab purpureus) pastures in northern Australia. Australian Journal of Agricultural Research, 57389. 10.1071/AR05263
closed
2006 16
Sadras, Víctor O.; Monzon, Juan P.; 2006. Modelled wheat phenology captures rising temperature trends: Shortened time to flowering and maturity in Australia and Argentina. Field Crops Research, 99136–146. 10.1016/j.fcr.2006.04.003
closed
2006 175
Rodriguez, D.; Nuttall, J.; Sadras, V. O.; van Rees, H.; Armstrong, R.; 2006. Impact of subsoil constraints on wheat yield and gross margin on fine-textured soils of the southern Victorian Mallee. Australian Journal of Agricultural Research, 57355. 10.1071/AR04133
· submittedVersion
2006 42
Ludwig, Fulco; Asseng, Senthold; 2006. Climate change impacts on wheat production in a Mediterranean environment in Western Australia. Agricultural Systems, 90159–179. 10.1016/j.agsy.2005.12.002
· acceptedVersion
2006 224
Wong, M. T. F.; Asseng, S.; 2006. Determining the Causes of Spatial and Temporal Variability of Wheat Yields at Sub-field Scale Using a New Method of Upscaling a Crop Model. Plant and Soil, 283203–215. 10.1007/s11104-006-0012-5
closed
2006 129
Wong, M. T. F.; Asseng, S.; Zhang, H.; 2006. A flexible approach to managing variability in grain yield and nitrate leaching at within-field to farm scales. Precision Agriculture, 7405–417. 10.1007/s11119-006-9023-8
closed
2006 33
Asseng, Senthold; Milroy, Stephen P.; 2006. Simulation of environmental and genetic effects on grain protein concentration in wheat. European Journal of Agronomy, 25119–128. 10.1016/j.eja.2006.04.005
closed
2006 70
Grenz, J.H.; Manschadi, A.M.; deVoil, P.; Meinke, H.; Sauerborn, J.; 2006. Simulating crop–parasitic weed interactions using APSIM: Model evaluation and application. European Journal of Agronomy, 24257–267. 10.1016/j.eja.2005.10.002
cc-by · submittedVersion
2006 20
deVoil, P.; 2006. Exploring profit – Sustainability trade-offs in cropping systems using evolutionary algorithms. Environmental Modelling & Software, 211368–1374. 10.1016/j.envsoft.2005.04.016
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2006 52
Manschadi, Ahmad M.; Christopher, John; deVoil, Peter; Hammer, Graeme L.; 2006. The role of root architectural traits in adaptation of wheat to water-limited environments. Functional Plant Biology, 33823. 10.1071/FP06055
· submittedVersion
2006 640
Stewart, L.K.; Charlesworth, P.B.; Bristow, K.L.; Thorburn, P.J.; 2006. Estimating deep drainage and nitrate leaching from the root zone under sugarcane using APSIM-SWIM. Agricultural Water Management, 81315–334. 10.1016/j.agwat.2005.05.002
closed
2006 86
Robertson, Michael J.; Kirkegaard, John A.; 2005. Water-use efficiency of dryland canola in an equi-seasonal rainfall environment. Australian Journal of Agricultural Research, 561373. 10.1071/AR05030
closed
2005 77
Robertson, M.J.; Sakala, W.; Benson, T.; Shamudzarira, Z.; 2005. Simulating response of maize to previous velvet bean (Mucuna pruriens) crop and nitrogen fertiliser in Malawi. Field Crops Research, 9191–105. 10.1016/j.fcr.2004.06.009
closed
2005 61
Luo, Q; Jones, Rn; Williams, M; Bryan, B; Bellotti, W; 2005. Probabilistic distributions of regional climate change and their application in risk analysis of wheat production. Climate Research, 2941–52. 10.3354/cr029041
· publishedVersion
2005 52
Luo, Qunying; Bellotti, William; Williams, Martin; Bryan, Brett; 2005. Potential impact of climate change on wheat yield in South Australia. Agricultural and Forest Meteorology, 132273–285. 10.1016/j.agrformet.2005.08.003
closed
2005 148
Probert, M.E.; Delve, R.J.; Kimani, S.K.; Dimes, J.P.; 2005. Modelling nitrogen mineralization from manures: representing quality aspects by varying C:N ratio of sub-pools. Soil Biology and Biochemistry, 37279–287. 10.1016/j.soilbio.2004.07.040
other-oa · submittedVersion
2005 90
Whish, Jeremy; Butler, Giles; Castor, Michael; Cawthray, Shayne; Broad, Ian; Carberry, Peter; Hammer, Graeme; McLean, Greg; Routley, Richard; Yeates, Steven; 2005. Modelling the effects of row configuration on sorghum yield reliability in north-eastern Australia. Australian Journal of Agricultural Research, 5611. 10.1071/AR04128
closed
2005 82
Dolling, P. J.; Robertson, M. J.; Asseng, S.; Ward, P. R.; Latta, R. A.; 2005. Simulating lucerne growth and water use on diverse soil types in a Mediterranean-type environment. Australian Journal of Agricultural Research, 56503. 10.1071/AR04216
closed
2005 40
Grenz, Jan H.; Manschadi, Ahmad M.; DeVoil, Peter; Meinke, Holger; Sauerborn, Joachim; 2005. Assessing Strategies for Orobanche sp. Control Using a Combined Seedbank and Competition Model. Agronomy Journal, 971551–1559. 10.2134/agronj2005.0061
closed
2005 30
Robertson, M. J.; Gaydon, D.; Hall, D. J. M.; Hills, A.; Penny, S.; 2005. Production risks and water use benefits of summer crop production on the south coast of Western Australia. Australian Journal of Agricultural Research, 56597. 10.1071/AR04249
closed
2005 23
Paydar, Zahra; Huth, Neil; Snow, Val; 2005. Modelling irrigated Eucalyptus for salinity control on shallow watertables. Soil Research, 43587. 10.1071/SR04152
closed
2005 20
Luo, Qunying; Bryan, Brett; Bellotti, William; Williams, Martin; 2005. Spatial Analysis of Environmental Change Impacts on Wheat Production in Mid-Lower North, South Australia. Climatic Change, 72213–228. 10.1007/s10584-005-5361-1
closed
2005 32
Patrick Smith, F.; Holzworth, Dean P.; Robertson, Michael J.; 2005. Linking icon-based models to code-based models: a case study with the agricultural production systems simulator. Agricultural Systems, 83135–151. 10.1016/j.agsy.2004.03.004
closed
2005 30
Paydar, Zahra; Huth, Neil; Ringrose-Voase, Anthony; Young, Rick; Bernardi, Tony; Keating, Brian; Cresswell, Hamish; 2005. Deep drainage and land use systems. Model verification and systems comparison. Australian Journal of Agricultural Research, 56995. 10.1071/AR04303
closed
2005 29
Foale, M. A.; Probert, M. E.; Carberry, P. S.; Lack, D.; Yeates, S.; Brimblecombe, D.; Crocker, M.; 2004. Participatory research in dryland cropping systems — monitoring and simulation of soil water and nitrogen in farmers' paddocks in Central Queensland. Australian Journal of Experimental Agriculture, 44321. 10.1071/EA02205
closed
2004 18
Farré, Imma; Robertson, Michael J.; Asseng, Senthold; French, Robert J.; Dracup, Miles; 2004. Simulating lupin development, growth, and yield in a Mediterranean environment. Australian Journal of Agricultural Research, 55863. 10.1071/AR04027
· publishedVersion
2004 31
Dalal, R. C.; Weston, E. J.; Strong, W. M.; Probert, M. E.; Lehane, K. J.; Cooper, J. E.; King, A. J.; Holmes, C. J.; 2004. Sustaining productivity of a Vertosol at Warra, Queensland, with fertilisers, no-tillage or legumes. 8. Effect of duration of lucerne ley on soil nitrogen and water, wheat yield and protein. Australian Journal of Experimental Agriculture, 441013. 10.1071/EA03166
· submittedVersion
2004 19
Yunusa, I. A. M.; Bellotti, W. D.; Moore, A. D.; Probert, M. E.; Baldock, J. A.; Miyan, S. M.; 2004. An exploratory evaluation of APSIM to simulate growth and yield processes for winter cereals in rotation systems in South Australia. Australian Journal of Experimental Agriculture, 44787. 10.1071/EA03121
closed
2004 42
Asseng, S; Jamieson, P.D; Kimball, B; Pinter, P; Sayre, K; Bowden, J.W; Howden, S.M; 2004. Simulated wheat growth affected by rising temperature, increased water deficit and elevated atmospheric CO2. Field Crops Research, 8585–102. 10.1016/S0378-4290(03)00154-0
closed
2004 325
Wang, Enli; Smith, Chris J.; Bond, Warren J.; Verburg, Kirsten; 2004. Estimations of vapour pressure deficit and crop water demand in APSIM and their implications for prediction of crop yield, water use, and deep drainage. Australian Journal of Agricultural Research, 551227. 10.1071/AR03216
closed
2004 70
Robertson, M. J.; Holland, J. F.; 2004. Production risk of canola in the semi-arid subtropics of Australia. Australian Journal of Agricultural Research, 55525. 10.1071/AR03219
closed
2004 112
Chapman, Scott; Cooper, Mark; Podlich, Dean; Hammer, Graeme; 2003. Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects. Agronomy Journal, 9599–113. 10.2134/agronj2003.9900
· submittedVersion
2003 221
van Ittersum, M.K.; Howden, S.M.; Asseng, S.; 2003. Sensitivity of productivity and deep drainage of wheat cropping systems in a Mediterranean environment to changes in CO2, temperature and precipitation. Agriculture, Ecosystems & Environment, 97255–273. 10.1016/S0167-8809(03)00114-2
· acceptedVersion
2003 182
Lyon, Drew J.; Hammer, Graeme L.; McLean, Greg B.; Blumenthal, Jürg M.; 2003. Simulation Supplements Field Studies to Determine No-Till Dryland Corn Population Recommendations for Semiarid Western Nebraska. Agronomy Journal, 95884–891. 10.2134/agronj2003.8840
closed
2003 54
Sadras, Victor; Baldock, Jeff; Roget, David; Rodriguez, Daniel; 2003. Measuring and modelling yield and water budget components of wheat crops in coarse-textured soils with chemical constraints. Field Crops Research, 84241–260. 10.1016/S0378-4290(03)00093-5
closed
2003 63
Inman-Bamber, N.G.; McGlinchey, M.G.; 2003. Crop coefficients and water-use estimates for sugarcane based on long-term Bowen ratio energy balance measurements. Field Crops Research, 83125–138. 10.1016/S0378-4290(03)00069-8
closed
2003 184
Asseng, S.; van Herwaarden, A. F.; 2003. Analysis of the benefits to wheat yield from assimilates stored prior to grain filling in a range of environments *. Plant and Soil, 256217–229. 10.1023/A:1026231904221
closed
2003 190
Keating, B.A; Carberry, P.S; Hammer, G.L; Probert, M.E; Robertson, M.J; Holzworth, D; Huth, N.I; Hargreaves, J.N.G; Meinke, H; Hochman, Z; McLean, G; Verburg, K; Snow, V; Dimes, J.P; Silburn, M; Wang, E; Brown, S; Bristow, K.L; Asseng, S; Chapman, S; McCown, R.L; Freebairn, D.M; Smith, C.J; 2003. An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy, 18267–288. 10.1016/S1161-0301(02)00108-9
· submittedVersion
2003 2777
Lyon, Drew J.; Hammer, Graeme L.; McLean, Greg B.; Blumenthal, Jürg M.; 2003. Simulation Supplements Field Studies to Determine No‐Till Dryland Corn Population Recommendations for Semiarid Western Nebraska. Agronomy Journal, 95884–891. 10.2134/agronj2003.8840
closed
2003 54
Chapman, Scott; Cooper, Mark; Podlich, Dean; Hammer, Graeme; 2003. Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects. Agronomy Journal, 9599–113. 10.2134/agronj2003.9900
· submittedVersion
2003 221
Deen, W; Cousens, R; Warringa, J; Bastiaans, L; Carberry, P; Rebel, K; Riha, S; Murphy, C; Benjamin, L R; Cloughley, C; Cussans, J; Forcella, F; Hunt, T.; Jamieson, P; Lindquist, J; Wang, E; 2003. An evaluation of four crop : weed competition models using a common data set. Weed Research, 43116–129. 10.1046/j.1365-3180.2003.00323.x
· acceptedVersion
2003 74
Turpin, J. E.; Robertson, M. J.; Haire, C.; Bellotti, W. D.; Moore, A. D.; Rose, I.; 2003. Simulating fababean development, growth, and yield in Australia. Australian Journal of Agricultural Research, 5439. 10.1071/AR02064
closed
2003 42
Farquharson, R. J.; Schwenke, G. D.; Mullen, J. D.; 2003. Should we manage soil organic carbon in Vertosols in the northern grains region of Australia?. Australian Journal of Experimental Agriculture, 43261. 10.1071/EA00163
closed
2003 50
Tang, C.; Asseng, S.; Diatloff, E.; Rengel, Z.; 2003. Modelling yield losses of aluminium-resistant and aluminium-sensitive wheat due to subsurface soil acidity: effects of rainfall, liming and nitrogen application. Plant and Soil, 254349–360. 10.1023/A:1025597905001
closed
2003 40
Asseng, Senthold; Turner, Neil C.; Botwright, Tina; Condon, Anthony G.; 2003. Evaluating the Impact of a Trait for Increased Specific Leaf Area on Wheat Yields Using a Crop Simulation Model. Agronomy Journal, 9510. 10.2134/agronj2003.0010
closed
2003 83
Okwach, G. E.; Siambi, M. M.; Simiyu, C.S.; 2003. Assessing the Interaction in Maize Cropping Density, Nitrogen and Soil Moisture with a Systems Simulator in Semi-Arid Machakos District, Kenya. East African Agricultural and Forestry Journal, 69157–171. 10.4314/eaafj.v69i2.1817
closed
2003 2
Shamudzarira, Z.; Robertson, M. J.; 2002. SIMULATING RESPONSE OF MAIZE TO NITROGEN FERTILIZER IN SEMI-ARID ZIMBABWE. Experimental Agriculture, 3879–96. 10.1017/S0014479702000170
closed
2002 58
Cleugh, H. A.; Prinsley, R.; Bird, P. R.; Brooks, S. J.; Carberry, P. S.; Crawford, M. C.; Jackson, T. T.; Meinke, H.; Mylius, S. J.; Nuberg, I. K.; Sudmeyer, R. A.; Wright, A. J.; 2002. The Australian National Windbreaks Program: overview and summary of results. Australian Journal of Experimental Agriculture, 42649. 10.1071/EA02003
closed
2002 67
Meinke, H.; Carberry, P. S.; Cleugh, H. A.; Poulton, P. L.; Hargreaves, J. N. G.; 2002. Modelling crop growth and yield under the environmental changes induced by windbreaks 1. Model development and validation. Australian Journal of Experimental Agriculture, 42875. 10.1071/EA02019
closed
2002 17
Adu-Gyamfi, J. J.; Carberry, P. S.; Probert, M. E.; Dimes, J. P.; Keating, B. A.; McCown, R. L.; 2002. Role of modelling in improving nutrient efficiency in cropping systems. , 319–329. [42]
unknown
2002 39
Asseng, S; Turner, Neil C; Ray, J.D; Keating, B.A; 2002. A simulation analysis that predicts the influence of physiological traits on the potential yield of wheat. European Journal of Agronomy, 17123–141. 10.1016/S1161-0301(01)00149-6
closed
2002 74
Minshew, Hudson; Selker, John; Hemphill, Delbert; Dick, Richard P.; 2002. NLEAP Computer Model and Multiple Linear Regression Prediction of Nitrate Leaching in Vegetable Systems. HortTechnology, 12250–256. 10.21273/HORTTECH.12.2.250
· publishedVersion
2002 5
Carberry, P. S.; Meinke, H.; Poulton, P. L.; Hargreaves, J. N. G.; Snell, A. J.; Sudmeyer, R. A.; 2002. Modelling crop growth and yield under the environmental changes induced by windbreaks. 2. Simulation of potential benefits at selected sites in Australia. Australian Journal of Experimental Agriculture, 42887. 10.1071/EA02020
closed
2002 18
Cleugh, H. A.; 2002. Parameterising the impact of shelter on crop microclimates and evaporation fluxes. Australian Journal of Experimental Agriculture, 42859. 10.1071/EA02006
closed
2002 14
Inman-Bamber, N.G; Muchow, R.C; Robertson, M.J; 2002. Dry matter partitioning of sugarcane in Australia and South Africa. Field Crops Research, 7671–84. 10.1016/S0378-4290(02)00044-8
closed
2002 88
Connolly, R. D.; Bell, M.; Huth, N.; Freebairn, D. M.; Thomas, G.; 2002. Simulating infiltration and the water balance in cropping systems with APSIM-SWIM. Soil Research, 40221. 10.1071/SR01007
closed
2002 42
Keating, B.A; Gaydon, D; Huth, N.I; Probert, M.E; Verburg, K; Smith, C.J; Bond, W; 2002. Use of modelling to explore the water balance of dryland farming systems in the Murray-Darling Basin, Australia. European Journal of Agronomy, 18159–169. 10.1016/S1161-0301(02)00102-8
closed
2002 82
Asseng, S; Bar-Tal, A; Bowden, J.W; Keating, B.A; Van Herwaarden, A; Palta, J.A; Huth, N.I; Probert, M.E; 2002. Simulation of grain protein content with APSIM-Nwheat. European Journal of Agronomy, 1625–42. 10.1016/S1161-0301(01)00116-2
closed
2002 121
Farré, I.; Robertson, M. J.; Walton, G. H.; Asseng, S.; 2002. Simulating phenology and yield response of canola to sowing date in Western Australia using the APSIM model. Australian Journal of Agricultural Research, 531155. 10.1071/AR02031
closed
2002 91
Robertson, M. J.; Carberry, P. S.; Huth, N. I.; Turpin, J. E.; Probert, M. E.; Poulton, P. L.; Bell, M.; Wright, G. C.; Yeates, S. J.; Brinsmead, R. B.; 2002. Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research, 53429. 10.1071/AR01106
closed
2002 307
Huth, N.I.; Carberry, P.S.; Poulton, P.L.; Brennan, L.E.; Keating, B.A.; 2002. A framework for simulating agroforestry options for the low rainfall areas of Australia using APSIM. European Journal of Agronomy, 18171–185. 10.1016/S1161-0301(02)00103-X
closed
2002 61
Carberry, P.S.; Hochman, Z.; McCown, R.L.; Dalgliesh, N.P.; Foale, M.A.; Poulton, P.L.; Hargreaves, J.N.G.; Hargreaves, D.M.G.; Cawthray, S.; Hillcoat, N.; Robertson, M.J.; 2002. The FARMSCAPE approach to decision support: farmers', advisers', researchers' monitoring, simulation, communication and performance evaluation. Agricultural Systems, 74141–177. 10.1016/S0308-521X(02)00025-2
closed
2002 303
Wang, E.; Robertson, M.J.; Hammer, G.L.; Carberry, P.S.; Holzworth, D.; Meinke, H.; Chapman, S.C.; Hargreaves, J.N.G.; Huth, N.I.; McLean, G.; 2002. Development of a generic crop model template in the cropping system model APSIM. European Journal of Agronomy, 18121–140. 10.1016/S1161-0301(02)00100-4
closed
2002 283
Ahuja, Lajpat; Ma, Liwang; Howell, Terry; McCown, R; Keating, B; Carberry, P; Hochman, Z; Hargreaves, D; 2002. The Co-Evolution of the Agricultural Production Systems Simulator (APSIM) and Its Use in Australian dryland Cropping Research and Farm Management Intervention. , . [43]
unknown
2002 2
Carberry, P. S.; Probert, M.E.; Dimes, J.P.; Keating, B.A.; McCown, R.L.; 2002. Role of modelling in improving nutrient efficiency in cropping systems. Plant and Soil, 245193–203. 10.1023/A:1020612416034
closed
2002 39
Chudleigh, Fred; Cox, Howard W.; Chapman, Veronica J.; Chudleigh, Fred; 2002. Modelling profitable and sustainable farming systems in Central Queensland. , . 10.22004/AG.ECON.125070
unknown
2002 2
Brennan, Lisa E.; Carberry, Peter S.; Hochman, Zvi; Brennan, Lisa E.; 2001. Participative research on use of enhanced climate variability information within agribusiness. , . 10.22004/AG.ECON.125545
unknown
2001 0
Hochman, Z.; Carberry, P.S.; McCown, R.L.; Dalgliesh, N.P.; Foale, M.A.; Brennan, L.E.; 2001. APSIM IN THE MARKETPLACE: A TALE OF KITCHEN TABLES, BOARDROOMS AND COURTROOMS. Acta Horticulturae, 21–33. 10.17660/ActaHortic.2001.566.1
closed
2001 8
Herridge, D. F.; Turpin, J. E.; Robertson, M. J.; 2001. Improving nitrogen fixation of crop legumes through breeding and agronomic management: analysis with simulation modelling. Australian Journal of Experimental Agriculture, 41391. 10.1071/EA00041
closed
2001 44
Connolly, R. D.; Freebairn, D. M.; Bell, M. J.; Thomas, G.; 2001. Effects of rundown in soil hydraulic condition on crop productivity in south-eastern Queensland - a simulation study. Soil Research, 391111. 10.1071/SR00089
closed
2001 18
Reyenga, P.J.; Howden, S.M.; Meinke, H.; Hall, W.B.; 2001. Global change impacts on wheat production along an environmental gradient in south Australia. Environment International, 27195–200. 10.1016/S0160-4120(01)00082-4
closed
2001 58
Asseng, S.; Dunin, F. X.; Fillery, I. R. P.; Tennant, D.; Keating, B. A.; 2001. Potential deep drainage under wheat crops in a Mediterranean climate. II. Management opportunities to control drainage. Australian Journal of Agricultural Research, 5257. 10.1071/AR99187
closed
2001 57
Thorburn, Peter J.; Probert, Mervyn E.; Robertson, Fiona A.; 2001. Modelling decomposition of sugar cane surface residues with APSIM–Residue. Field Crops Research, 70223–232. 10.1016/S0378-4290(01)00141-1
closed
2001 180
Asseng, S.; Turner, N. C.; Keating, B. A.; 2001. Analysis of water- and nitrogen-use efficiency of wheat in a Mediterranean climate. Plant and Soil, 233127–143. 10.1023/A:1010381602223
closed
2001 197
Asseng, S.; Fillery, I. R. P.; Dunin, F. X.; Keating, B. A.; Meinke, H.; 2001. Potential deep drainage under wheat crops in a Mediterranean climate. I. Temporal and spatial variability. Australian Journal of Agricultural Research, 5245. 10.1071/AR99186
closed
2001 118
Keating, B.A; McCown, R.L; 2001. Advances in farming systems analysis and intervention. Agricultural Systems, 70555–579. 10.1016/S0308-521X(01)00059-2
closed
2001 162
Asseng, S; van Keulen, H; Stol, W; 2000. Performance and application of the APSIM Nwheat model in the Netherlands. European Journal of Agronomy, 1237–54. 10.1016/S1161-0301(99)00044-1
· submittedVersion
2000 164
Lisson, S.N; Robertson, M.J; Keating, B.A; Muchow, R.C; 2000. Modelling sugarcane production systems. Field Crops Research, 6831–48. 10.1016/S0378-4290(00)00108-8
closed
2000 67
Cheeroo-Nayamuth, F.C; Robertson, M.J; Wegener, M.K; Nayamuth, A.R.H; 2000. Using a simulation model to assess potential and attainable sugar cane yield in Mauritius. Field Crops Research, 66225–243. 10.1016/S0378-4290(00)00069-1
closed
2000 83
O’Leary, Garry J; 2000. A review of three sugarcane simulation models with respect to their prediction of sucrose yield. Field Crops Research, 6897–111. 10.1016/S0378-4290(00)00112-X
closed
2000 99
Robertson, M. J.; Carberry, P. S.; Lucy, M.; 2000. Evaluation of a new cropping option using a participatory approach with on-farm monitoring and simulation: a case study of spring-sown mungbeans. Australian Journal of Agricultural Research, 511. 10.1071/AR99082
closed
2000 49
Lisson, S. N.; Mendham, N. J.; Carberry, P. S.; 2000. Development of a hemp (Cannabis sativa L.) simulation model 4. Model description and validation. Australian Journal of Experimental Agriculture, 40425. 10.1071/EA99061
closed
2000 21
Probert, M.E; Keating, B.A; 2000. What soil constraints should be included in crop and forest models?. Agriculture, Ecosystems & Environment, 82273–281. 10.1016/S0167-8809(00)00231-0
closed
2000 35
Smith, C. J.; Snow, V. O.; Polglase, P. J.; Probert, M. E.; 1999. Nitrogen dynamics in a eucalypt plantation irrigated with sewage effluent or bore water. Soil Research, 37527. 10.1071/S98093
closed
1999 55
Snow, V.O.; Bond, W.J.; Myers, B.J.; Theiveyanathan, S.; Smith, C.J.; Benyon, R.G.; 1999. Modelling the water balance of effluent-irrigated trees. Agricultural Water Management, 3947–67. 10.1016/S0378-3774(98)00086-9
closed
1999 30
Schuurs, Mark; Wegener, Malcolm K.; Schuurs, Mark; 1999. FARM DAMS - ARE THEY AN OPTION FOR THE QUEENSLAND SUGAR INDUSTRY. , . 10.22004/AG.ECON.124549
unknown
1999 1
Keating, B.A; Robertson, M.J; Muchow, R.C; Huth, N.I; 1999. Modelling sugarcane production systems I. Development and performance of the sugarcane module. Field Crops Research, 61253–271. 10.1016/S0378-4290(98)00167-1
closed
1999 348
Reyenga, P.J.; Howden, S.M.; Meinke, H.; McKeon, G.M.; 1999. Modelling global change impacts on wheat cropping in south-east Queensland, Australia. Environmental Modelling & Software, 14297–306. 10.1016/S1364-8152(98)00081-4
closed
1999 136
Meinke, H.; Hammer, G.L.; van Keulen, H.; Rabbinge, R.; 1998. Improving wheat simulation capabilities in Australia from a cropping systems perspective III. The integrated wheat model (I_WHEAT). European Journal of Agronomy, 8101–116. 10.1016/S1161-0301(97)00015-4
· acceptedVersion
1998 88
Asseng, S.; Anderson, G. C.; Dunin, F. X.; Fillery, I. R. P.; Dolling, P. J.; Keating, B. A.; 1998. Use of the APSIM wheat model to predict yield, drainage, and NO3- leaching for a deep sand. Australian Journal of Agricultural Research, 49363. 10.1071/A97095
closed
1998 146
Probert, M.E.; Dimes, J.P.; Keating, B.A.; Dalal, R.C.; Strong, W.M.; 1998. APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Agricultural Systems, 561–28. 10.1016/S0308-521X(97)00028-0
closed
1998 607
Meinke, Holger; Rabbinge, Rudy; Hammer, Graeme L.; van Keulen, Herman; Jamieson, Peter D.; 1998. Improving wheat simulation capabilities in Australia from a cropping systems perspective II. Testing simulation capabilities of wheat growth. European Journal of Agronomy, 883–99. 10.1016/S1161-0301(97)00016-6
· acceptedVersion
1998 4
Asseng, S; Keating, B.A; Fillery, I.R.P; Gregory, P.J; Bowden, J.W; Turner, N.C; Palta, J.A; Abrecht, D.G; 1998. Performance of the APSIM-wheat model in Western Australia. Field Crops Research, 57163–179. 10.1016/S0378-4290(97)00117-2
closed
1998 310
Probert, M. E.; Carberry, P. S.; McCown, R. L.; Turpin, J. E.; 1998. Simulation of legume-cereal systems using APSIM. Australian Journal of Agricultural Research, 49317. 10.1071/A97070
closed
1998 65
Keating, B.A.; Meinke, H.; 1998. Assessing exceptional drought with a cropping systems simulator: a case study for grain production in northeast Australia. Agricultural Systems, 57315–332. 10.1016/S0308-521X(98)00021-3
closed
1998 47
Nelson, R.A.; Cramb, R.A.; Mamicpic, M.A.; 1998. Erosion/productivity modelling of maize farming in the Philippine uplands. Agricultural Systems, 58165–183. 10.1016/S0308-521X(98)00045-6
closed
1998 24
Nelson, R.A; Cramb, R.A; 1998. Economic incentives for farmers in the Philippine uplands to adopt hedgerow intercropping. Journal of Environmental Management, 5483–100. 10.1006/jema.1998.0220
cc-by · submittedVersion
1998 28
Nelson, R.A.; Dimes, J.P.; Paningbatan, E.P.; Silburn, D.M.; 1998. Erosion/productivity modelling of maize farming in the Philippine uplands. Agricultural Systems, 58129–146. 10.1016/S0308-521X(98)00043-2
closed
1998 37
Meinke, Holger; Rabbinge, Rudy; Hammer, Graeme L.; van Keulen, Herman; Jamieson, Peter D.; 1998. Improving wheat simulation capabilities in Australia from a cropping systems perspective II. Testing simulation capabilities of wheat growth. European Journal of Agronomy, 883–99. 10.1016/S1161-0301(97)00016-6
· acceptedVersion
1998 69
Nelson, R.A; Dimes, J.P; Silburn, D.M; Paningbatan, E.P; Cramb, R.A; 1998. Erosion/productivity modelling of maize farming in the Philippine uplands. Agricultural Systems, 58147–163. 10.1016/S0308-521X(98)00044-4
closed
1998 21
Connolly, R. D.; Freebairn, D. M.; Bell, M. J.; 1998. Change in soil infiltration associated with leys in south-eastern Queensland. Soil Research, 361057. 10.1071/S98028
closed
1998 26
Muchow, R. C.; Keating, B. A.; 1998. Assessing irrigation requirements in the Ord Sugar Industry using a simulation modelling approach. Australian Journal of Experimental Agriculture, 38345. 10.1071/EA98023
closed
1998 20
Jones, Rk; Probert, Me; Dalgliesh, Np; McCown, Rl; 1996. Nitrogen inputs from a pasture legume in rotations with cereals in the semi-arid tropics of northern Australia: experimentation and modelling on a clay loam soil. Australian Journal of Experimental Agriculture, 36985. 10.1071/EA9960985
closed
1996 23
McCown, R.L.; Hammer, G.L.; Hargreaves, J.N.G.; Holzworth, D.P.; Freebairn, D.M.; 1996. APSIM: a novel software system for model development, model testing and simulation in agricultural systems research. Agricultural Systems, 50255–271. 10.1016/0308-521X(94)00055-V
closed
1996 954
McCown, R.L.; Hammer, G.L.; Hargreaves, J.N.G.; Holzworth, D.; Huth, N.I.; 1995. APSIM: an agricultural production system simulation model for operational research. Mathematics and Computers in Simulation, 39225–231. 10.1016/0378-4754(95)00063-2
closed
1995 76
Probert, Me; Keating, Ba; Thompson, Jp; Parton, Wj; 1995. Modelling water, nitrogen, and crop yield for a long-term fallow management experiment. Australian Journal of Experimental Agriculture, 35941. 10.1071/EA9950941
closed
1995 124
Bassand, Jean-Pierre; Machecourt, Jacques; 1989. Limitation of myocardial infarct size and preservation of left ventricular function by early administration of APSAC in myocardial infarction. The American Journal of Cardiology, 64A18–A23. 10.1016/0002-9149(89)90924-7
closed
1989 12
Machecourt, J.; Bassand, J.P.; Cassagnes, J.; Anguenot, T.; Lusson, J.R.; Wolf, J.E.; Ducellier, D.; Borrel, E.; Peycelon, P.; 1988. 27 A multicenter double-blind trial of intravenous APSAC versus heparin in acute myocardial infarction. The APSIM study. Fibrinolysis, 214. 10.1016/0268-9499(88)90052-5
closed
1988 2



Citations

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Nr. of publications: 1439
Total citations: 56856
h-index: 105
m-quotient: 2.69

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