ApsimX-Publications

From CSDMS
References ApsimX

Total peer and non-peer reviewed publications

1284

Journal Articles

1115

Books

8

Book sections

32

Reports

17

Thesis

30

Abstracts

72

Code

0

Blogs

2

Miscellaneous

0

Web

1

Preprints

3

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Peer reviewed reference(s) Year type Cited
Peer reviewed reference(s) Year type Cited
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 2
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
Saikai, Yuji; 2024. Generative weather for improved crop model simulations. , . 10.48550/ARXIV.2404.00528 2024 Model application 0
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 2024 Model application 3
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 1
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 1
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 3
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Other
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2024 Model application 0
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 2023 Model application 2
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 2023 Model application 2
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 2023 Model application 4
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 2023 Model application 5
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 2023 Model application 5
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 2023 Model application 3
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 2023 Model application 0
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 2023 Model application 5
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 2023 Model application 1
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 2023 Model application 2
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 2023 Model application 3
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 2023 Model application 0
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 2023 Model application 2
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 2023 Model application 0
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 2023 Model application 1
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 2023 Model application 0
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 2023 Model application 1
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 2023 Model application 2
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 2023 Model application 2
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 2023 Model application 2
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 2023 Model application 2
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 2023 Model application 1
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 2023 Model application 7
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 2023 Model application 2
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 2023 Model application 5
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 2023 Model application 4
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 2023 Model application 3
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 2023 Model application 1
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 2023 Model application 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 2023 Model application 1
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 2023 Model application 4
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 2023 Model application 4
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 2023 Model application 4
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 2023 Model application 1
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 2023 Model application 2
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 2023 Model application 6
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 2023 Model application 2
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 2023 Model application 1
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 2023 Model application 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 2023 Model application 5
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 2023 Model application 2
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 2023 Model application 0
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 2023 Model application 2
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 2023 Model application 2
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 2023 Model application 6
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 2023 Model application 0
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 2023 Model application 0
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 2023 Model application 1
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 2023 Model application 2
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 2023 Model application 0
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 2023 Model application 0
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] 2023 Model application 0
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 2023 Model application 2
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 2023 Model application 0
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 2023 Model application 0
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 2023 Model application 0
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 2023 Model application 0
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 2023 Model application 1
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 2023 Model application 0
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 2022 Model application 4
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 2022 Model application 8
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 2022 Model application 0
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 2022 Model application 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 2022 Model application 20
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 2022 Model application 8
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 2022 Model application 4
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 2022 Model application 0
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 2022 Model application 0
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 2022 Model application 4
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 2022 Model application 5
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 2022 Model application 4
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 2022 Model application 5
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 2022 Model application 8
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 2022 Model application 0
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 2022 Model application 2
Langer, Stephanie; 2022. Improving irrigation management on hillslope pastures. Journal of New Zealand Grasslands, 135–144. 10.33584/jnzg.2021.83.3495 2022 Model application 0
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 2022 Model application 3
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 2022 Model application 0
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 2022 Model application 3
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 2022 Model application 20
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 2022 Model application 11
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 2022 Model application 5
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 2022 Model application 2
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 2022 Model application 3
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 2022 Model application 0
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 2022 Model application 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 2022 Model application 3
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 2022 Model application 0
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 2022 Model application 9
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 2022 Model application 3
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 2022 Model application 2
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 2022 Model application 1
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 2022 Model application 8
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 2022 Model application 10
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 2022 Model application 7
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 2022 Model application 7
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 2022 Model application 2
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 2022 Model application 3
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 2022 Model application 3
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 2022 Model application 7
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 2022 Model application 20
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 2022 Model application 4
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 2022 Model application 7
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 2022 Model application 1
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 2022 Model application 1
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 2022 Model application 5
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 2022 Model application 1
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 2022 Model application 13
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 2022 Model application 8
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 2022 Model application 15
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 2022 Model application 1
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 2022 Model application 5
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 2022 Model application 0
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 2022 Model application 2
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 2022 Model application 0
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 2022 Model application 5
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 2022 Model application 1
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 2022 Model application 10
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 2022 Model application 4
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 2022 Model application 2
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 2022 Model application 7
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 2022 Model application 8
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 2022 Model application 3
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] 2022 Model application 0
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 2022 Model application 6
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 2022 Model application 0
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 2022 Model application 10
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 2022 Model application 4
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 2022 Model application 2
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 2022 Model application 3
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 2022 Model application 0
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 2022 Model application 7
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 2022 Model application 65
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 2022 Model application 3
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 2022 Model application 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 2022 Model application 2
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 2022 Model application 2
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 2021 Model application 2
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 2021 Model application 43
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 2021 Model application 2
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 2021 Model application 5
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 2021 Model application 2
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 2021 Model application 1
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 2021 Model application 18
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 2021 Model application 9
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 2021 Model application 24
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 2021 Model application 19
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 2021 Model application 8
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 2021 Model application 167
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 2021 Model application 22
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 2021 Model application 3
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 2021 Model application 11
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 2021 Model application 1
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 2021 Model application 6
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 2021 Model application 2
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 2021 Model application 24
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 2021 Model application 14
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 2021 Model application 9
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 2021 Model application 7
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 2021 Model application 2
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 2021 Model application 8
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 2021 Model application 7
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 2021 Model application 21
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 2021 Model application 10
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 2021 Model application 15
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 2021 Model application 28
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 2021 Model application 12
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 2021 Model application 11
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 2021 Model application 18
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 2021 Model application 3
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 2021 Model application 12
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 2021 Model application 16
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 2021 Model application 31
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 2021 Model application 0
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 2021 Model application 20
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 2021 Model application 6
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 2021 Model application 43
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 2021 Model application 167
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 2021 Model application 10
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. [3] 2021 Model application 2
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 2021 Model application 27
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 2021 Model application 13
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 2021 Model application 5
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 2021 Model application 10
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 2021 Model application 14
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 2021 Model application 34
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. [4] 2021 Model application 2
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 2021 Model application 23
Collins, Brian; 2021. Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity. in silico Plants, 3diab006. 10.1093/insilicoplants/diab006 2021 Model application 17
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. , . [5] 2021 Model application 2
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 2021 Model application 4
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 2021 Model application 22
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 2021 Model application 5
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 2021 Model application 2
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 2021 Model application 8
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 2021 Model application 20
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 2021 Model application 7
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 2021 Model application 7
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 2021 Model application 45
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 2021 Model application 16
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 2021 Model application 13
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 2021 Model application 14
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 2021 Model application 13
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 2021 Model application 8
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] 2021 Model application 3
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 2021 Model application 6
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 2021 Model application 5
Tomar, Pradeep; Kaur, Gurjit; Wang, Yuchi; 2021. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture:. , . [7] 2021 Model application 22
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 2021 Model application 3
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 2021 Model application 5
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 2021 Model application 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 2021 Model application 34
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 2021 Model application 14
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 2021 Model application 26
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 2021 Model application 8
Tomar, Pradeep; Kaur, Gurjit; 2021. WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time:. , 243–254. [8] 2021 Model application 2
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 2021 Model application 0
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 2021 Model application 3
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 2021 Model application 6
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 2021 Model application 4
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 2021 Model application 5
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 2021 Model application 2
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 2021 Model application 0
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 2021 Model application 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 2021 Model application 9
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 2021 Model application 2
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 2021 Model application 1
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 2021 Model application 3
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 2021 Model application 19
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 2021 Model application 1
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 2021 Model application 20
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 2021 Model application 15
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 2021 Model application 0
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 2021 Model application 12
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 2021 Model application 4
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 2021 Model application 19
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 2021 Model application 3
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 2021 Model application 6
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 2021 Model application 18
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 2021 Model application 4
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 2021 Model application 3
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 2021 Model application 28
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 2021 Model application 18
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 2021 Model application 16
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 2021 Model application 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 2021 Model application 3
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 2021 Model application 29
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 2021 Model application 9
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 2021 Model application 3
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 2021 Model application 4
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 2021 Model application 9
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 2021 Model application 0
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 2020 Model application 24
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 2020 Model application 8
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 2020 Model application 12
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 2020 Model application 8
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 2020 Model application 90
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 2020 Model application 17
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 2020 Model application 3
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 2020 Model application 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 2020 Model application 19
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 2020 Model application 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 2020 Model application 8
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 2020 Model application 13
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 2020 Model application 31
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 2020 Model application 16
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 2020 Model application 17
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 2020 Model application 29
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 2020 Model application 18
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 2020 Model application 22
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 2020 Model application 122
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 2020 Model application 36
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 2020 Model application 6
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 2020 Model application 30
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 2020 Model application 47
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 2020 Model application 20
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 2020 Model application 12
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 2020 Model application 10
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 2020 Model application 8
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 2020 Model application 23
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 2020 Model application 11
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 2020 Model application 10
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 2020 Model application 39
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 2020 Model application 10
Chauhan, Yashvir S.; Ryan, Merrill; 2020. Frost Risk Management in Chickpea Using a Modelling Approach. Agronomy, 10460. 10.3390/agronomy10040460 2020 Model application 7
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 2020 Model application 28
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 2020 Model application 4
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 2020 Model application 117
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 2020 Model application 7
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 2020 Model application 33
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 2020 Model application 2
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 2020 Model application 30
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 2020 Model application 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 2020 Model application 20
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 2020 Model application 61
YUXI ZHANG; 2020. Towards improved crop growth and yield estimation: observation constrained wheat modelling. , 43807883 Bytes. 10.26180/13151318.V1 2020 Model application 1
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 2020 Model application 17
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 2020 Model application 37
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 2020 Model application 44
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 2020 Model application 8
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 2020 Model application 0
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 2020 Model application 19
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 2020 Model application 9
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 2020 Model application 18
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 2020 Model application 18
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 2020 Model application 12
Maitra, Sagar; Sarkar, Sukamal ,; 2020. Application of APSIM Model for Assessing the Complexities of Rice-based Cropping Systems of South-Asia. , . [9] 2020 Model application 4
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 2020 Model application 18
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 2020 Model application 21
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 2020 Model application 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 2020 Model application 1
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 2020 Model application 1
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 2020 Model application 5
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 2020 Model application 12
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 2020 Model application 18
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 2020 Model application 5
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 2020 Model application 13
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 2020 Model application 11
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 2020 Model application 4
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 2020 Model application 23
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 2020 Model application 3
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 2020 Model application 41
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 2020 Model application 23
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 2020 Model application 2
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 2020 Model application 16
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 2020 Model application 7
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 2020 Model application 5
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 2020 Model application 10
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 2020 Model application 44
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 2020 Model application 44
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 2020 Model application 22
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 2020 Model application 14
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. [10] 2020 Model application 4
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 2020 Model application 0
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 2020 Model application 9
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 2020 Model application 56
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 2020 Model application 2
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 2020 Model application 0
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 2020 Model application 40
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 2020 Model application 22
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 2020 Model application 29
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 2020 Model application 45
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. [11] 2020 Model application 4
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 2020 Model application 17
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. [12] 2020 Model application 3
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 2020 Model application 9
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 2020 Model application 1
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 2020 Model application 11
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 2020 Model application 27
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 2020 Model application 21
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 2020 Model application 9
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 2020 Model application 2
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 2020 Model application 3
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 2020 Model application 14
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 2020 Model application 13
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 2020 Model application 41
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 2020 Model application 12
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 2019 Model application 9
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. , . [13] 2019 Model application 3
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 2019 Model application 16
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 2019 Model application 42
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 2019 Model application 57
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 2019 Model application 0
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 2019 Model application 8
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. [14] 2019 Model application 5
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 2019 Model application 12
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 2019 Model application 21
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 2019 Model application 0
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 2019 Model application 10
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 2019 Model application 36
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 2019 Model application 16
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 2019 Model application 19
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 2019 Model application 29
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 2019 Model application 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 2019 Model application 66
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 2019 Model application 8
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 2019 Model application 27
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 2019 Model application 18
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 2019 Model application 8
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 2019 Model application 54
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 2019 Model application 30
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 2019 Model application 15
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 2019 Model application 30
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 2019 Model application 23
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 2019 Model application 13
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 2019 Model application 125
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 2019 Model application 25
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 2019 Model application 22
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 2019 Model application 0
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 2019 Model application 1
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 2019 Model application 132
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 2019 Model application 29
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 2019 Model application 19
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 2019 Model application 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 2019 Model application 15
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 2019 Model application 51
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 2019 Model application 3
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 2019 Model application 35
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 2019 Model application 4
Sheraz Mahdi, Syed; Kalra, Naveen; Kumar, Manoj; 2019. Simulating the Impact of Climate Change and its Variability on Agriculture. , 21–28. [15] 2019 Model application 25
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 2019 Model application 40
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 2019 Model application 44
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 2019 Model application 39
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 2019 Model application 30
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 2019 Model application 12
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 2019 Model application 11
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 2019 Model application 58
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 2019 Model application 31
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. 2019 Model application 14
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 2019 Model application 12
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 2019 Model application 125
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 2019 Model application 9
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 2019 Model application 33
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 2019 Model application 13
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 2019 Model application 55
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 2019 Model application 24
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 2019 Model application 30
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 2019 Model application 24
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 2019 Model application 0
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 2019 Model application 14
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 2019 Model application 15
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 2019 Model application 0
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 2019 Model application 12
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 2019 Model application 9
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 2019 Model application 21
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 2019 Model application 41
Ababaei, Behnam; Chenu, Karine; 2019. Recent Trends in Drought, Heat and Frost-Induced Yield Losses Across the Australian Wheatbelt. Proceedings, 365. 10.3390/proceedings2019036005 2019 Model application 7
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 2019 Model application 52
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 2019 Model application 18
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 2019 Model application 13
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 2019 Model application 26
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 2018 Model application 74
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 2018 Model application 69
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 2018 Model application 45
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 2018 Model application 74
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 2018 Model application 14
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 2018 Model application 76
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 2018 Model application 56
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. 2018 Model application 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 2018 Model application 46
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 2018 Model application 97
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 2018 Model application 12
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 2018 Model application 0
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 2018 Model application 61
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 2018 Model application 30
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 2018 Model application 0
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] 2018 Model application 10
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 2018 Model application 0
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 2018 Model application 192
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 2018 Model application 1
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 2018 Model application 64
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 2018 Model application 17
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 2018 Model application 41
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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 2018 Model application 17
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 2018 Model application 14
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 2018 Model application 51
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 2018 Model application 4
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 2018 Model application 21
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 2018 Model application 61
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 2018 Model application 48
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 2018 Model application 18
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 2018 Model application 78
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 2018 Model application 45
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 2018 Model application 66
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 2018 Model application 17
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 2018 Model application 37
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 2018 Model application 1
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 2018 Model application 22
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 2018 Model application 74
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 2018 Model application 43
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 2018 Model application 26
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 2018 Model application 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 2018 Model application 0
Levitan, Nathaniel; Gross, Barry; 2018. Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms. Remote Sensing, 101968. 10.3390/rs10121968 2018 Model application 5
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 2018 Model application 0
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 2018 Model application 10
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 2018 Model application 25
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 2018 Model application 33
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 2018 Model application 154
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 2018 Model application 8
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 2018 Model application 54
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 2018 Model application 37
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 2018 Model application 4
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 2018 Model application 26
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 2018 Model application 12
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 2018 Model application 17
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 2018 Model application 22
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 2018 Model application 23
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 2018 Model application 23
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 2018 Model application 7
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 2018 Model application 14
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 2018 Model application 33
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 2018 Model application 21
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 2018 Model application 3
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 2018 Model application 46
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 2018 Model application 0
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 2018 Model application 8
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 2018 Model application 37
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 2018 Model application 55
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 2018 Model application 33
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 2018 Model application 89
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 2018 Model application 54
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 2018 Model application 4
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 2018 Model application 12
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 2018 Model application 101
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 2018 Model application 46
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 2018 Model application 11
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 2018 Model application 0
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 2018 Model application 1
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 2018 Model application 52
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 2018 Model application 28
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 2018 Model application 41
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 2018 Model application 2
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 2018 Model application 3
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 2018 Model application 13
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 2018 Model application 6
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 2018 Model application 0
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 2018 Model application 17
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 2018 Model application 20
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 2018 Model application 29
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 2018 Model application 8
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 2018 Model application 13
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 2018 Model application 47
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 2017 Model application 15
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 2017 Model application 14
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 2017 Model application 13
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 2017 Model application 19
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 2017 Model application 28
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 2017 Model application 6
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 2017 Model application 8
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 2017 Model application 20
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 2017 Model application 41
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 2017 Model application 18
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 2017 Model application 12
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 2017 Model application 16
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 2017 Model application 17
Ahmed, Mukhtar; Stockle, Claudio O.; Ijaz, Waqas; Asim, Muhammad; Aslam, M.; 2017. Models to Study Phosphorous Dynamics Under Changing Climate. , 371–386. [17] 2017 Model application 10
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 2017 Model application 60
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 2017 Model application 49
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 2017 Model application 0
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 2017 Model application 43
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 2017 Model application 0
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 2017 Model application 21
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 2017 Model application 33
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 2017 Model application 17
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 2017 Model application 20
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 2017 Model application 76
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 2017 Model application 25
Zeleke, Ketema Tilahun; 2017. Fallow management increases soil water and nitrogen storage. Agricultural Water Management, 18612–20. 10.1016/j.agwat.2017.02.011 2017 Model application 14
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 2017 Model application 57
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 2017 Model application 10
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 2017 Model application 41
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 2017 Model application 43
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 2017 Model application 49
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 2017 Model application 35
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 2017 Model application 11
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 2017 Model application 32
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 2017 Model application 27
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 2017 Model application 49
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 2017 Model application 44
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 2017 Model application 23
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 2017 Model application 3
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 2017 Model application 55
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 2017 Model application 26
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 2017 Model application 13
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 2017 Model application 5
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 2017 Model application 53
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 2017 Model application 61
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 2017 Model application 0
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 2017 Model application 177
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 2017 Model application 0
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 2017 Model application 70
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 2017 Model application 28
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 2017 Model application 11
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 2017 Model application 151
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 2017 Model application 21
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 2017 Model application 158
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 2017 Model application 35
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 2017 Model application 4
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 2017 Model application 2
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 2017 Model application 84
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 2017 Model application 94
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 2017 Model application 21
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 2017 Model application 3
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 2017 Model application 75
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 2017 Model application 49
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 2017 Model application 18
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 2017 Model application 137
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 2017 Model application 14
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 2017 Model application 22
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 2017 Model application 26
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 2017 Model application 5
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 2017 Model application 39
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 2017 Model application 10
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 2017 Model application 126
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 2017 Model application 26
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 2017 Model application 27
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 2017 Model application 12
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 2017 Model application 206
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 2017 Model application 58
Ahmed, Mukhtar; Stockle, Claudio O.; Aslam, Muhammad Aqeel; Hayat, Riffat; 2017. Modeling Nitrogen Use Efficiency Under Changing Climate. , 71–90. [18] 2017 Model application 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 2017 Model application 5
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 2017 Model application 15
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. [19] 2017 Model application 5
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 2017 Model application 10
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 2017 Model application 13
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 2017 Model application 29
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 2017 Model application 93
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 2017 Model application 27
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 2017 Model application 0
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 2017 Model application 8
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 2016 Model application 35
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 2016 Model application 7
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 2016 Model application 20
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 2016 Model application 35
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 2016 Model application 58
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 2016 Model application 31
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 2016 Model application 14
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 2016 Model application 8
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 2016 Model application 27
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 2016 Model application 87
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 2016 Model application 104
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 2016 Model application 114
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 2016 Model application 50
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 2016 Model application 20
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Ahuja, Lajpat R.; Ma, Liwang; Howell, Terry A; 2016. Agricultural System Models in Field Research and Technology Transfer. , . [20] 2016 Model application 100
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 2016 Model application 21
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 2016 Model application 111
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 2016 Model application 1
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 2016 Model application 32
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 2016 Model application 215
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 2016 Model application 106
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 2016 Model application 17
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 2016 Model application 32
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 2016 Model application 4
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 2016 Model application 76
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 2016 Model application 134
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 2016 Model application 86
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 2016 Model application 69
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 2016 Model application 17
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 2016 Model application 21
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 2016 Model application 170
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 2016 Model application 62
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 2016 Model application 18
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 2016 Model application 9
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 2016 Model application 43
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 2016 Model application 14
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 2016 Model application 76
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 2016 Model application 28
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. , . [21] 2016 Model application 16
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 2016 Model application 3
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 2016 Model application 8
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 2016 Model application 46
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 2016 Model application 25
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 2016 Model application 0
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 2016 Model application 32
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 2016 Model application 92
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 2016 Model application 3
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 2016 Model application 34
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 2016 Model application 45
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 2016 Model application 40
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 2016 Model application 3
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 2016 Model application 14
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 2016 Model application 67
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 2016 Model application 17
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 2016 Model application 65
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 2016 Model application 7
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] 2016 Model application 1
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 2016 Model application 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] 2016 Model application 5
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 2016 Model application 47
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 2016 Model application 12
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 2016 Model application 1
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 2016 Model application 46
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 2016 Model application 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 2016 Model application 2
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 2016 Model application 62
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 2016 Model application 30
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 2016 Model application 62
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 2016 Model application 10
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 2016 Model application 46
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 2016 Model application 11
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 2016 Model application 22
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 2016 Model application 3
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 2016 Model application 58
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 2016 Model application 28
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 2016 Model application 17
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 2016 Model application 10
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 2016 Model application 28
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 2016 Model application 2
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 2016 Model application 22
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 2016 Model application 53
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 2016 Model application 50
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 2016 Model application 17
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 2016 Model application 19
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 2016 Model application 64
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 2016 Model application 36
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 2015 Model application 136
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 2015 Model application 35
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 2015 Model application 29
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 2015 Model application 52
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 2015 Model application 15
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 2015 Model application 21
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 2015 Model application 53
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 2015 Model application 5
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 2015 Model application 88
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 2015 Model application 0
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 2015 Model application 176
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 2015 Model application 5
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 2015 Model application 245
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 2015 Model application 167
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 2015 Model application 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 2015 Model application 11
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 2015 Model application 154
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 2015 Model application 36
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 2015 Model application 178
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 2015 Model application 60
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 2015 Model application 14
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 2015 Model application 4
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 2015 Model application 7
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 2015 Model application 38
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 2015 Model application 46
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 2015 Model application 15
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 2015 Model application 11
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 2015 Model application 43
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 2015 Model application 20
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 2015 Model application 3
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 2015 Model application 5
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 2015 Model application 11
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 2015 Model application 93
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?. , . [24] 2015 Model application 1
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 2015 Model application 62
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 2015 Model application 24
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 2015 Model application 45
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 2015 Model application 13
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. [25] 2015 Model application 13
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 2015 Model application 24
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 2015 Model application 36
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 2015 Model application 23
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 2015 Other
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. [26] 2015 Model application 6
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. [27] 2015 Model application 5
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 2015 Model application 43
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 2015 Model application 42
Dumbrell, Nikki P.; Kragt, Marit E.; Biggs, Jody; Meier, Elizabeth; Thorburn, Peter; 2015. Climate change abatement and farm profitability analyses across agricultural environments. , . [28] 2015 Model application 0
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 2015 Model application 74
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. [29] 2015 Model application 10
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 2015 Model application 38
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 2015 Model application 20
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 2015 Model application 36
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. [30] 2015 Model application 27
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 2015 Model application 2
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 2015 Model application 14
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 2015 Model application 56
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 2015 Model application 1
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 2015 Model application 10
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 2015 Model application 0
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 2015 Model application 29
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 2015 Model application 38
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. [31] 2014 Model application 3
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 2014 Model application 53
Schröder, Winfried; Müller, Felix; Fränzle, Otto; 2014. Handbuch der Umweltwissenschaften: Grundlagen und Anwendungen der Ökosystemforschung. , . [32] 2014 Model application 0
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 2014 Model application 27
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 2014 Model application 42
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 2014 Model application 22
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 2014 Model application 109
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 2014 Model application 110
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 2014 Model application 13
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 2014 Model application 36
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 2014 Model application 133
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 2014 Model application 81
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 2014 Model application 16
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 2014 Model application 5
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 2014 Model application 4
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 2014 Model application 36
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 2014 Model application 10
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 2014 Model application 58
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 2014 Model application 23
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 2014 Model application 127
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 2014 Model application 9
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 2014 Model application 4
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 2014 Model application 18
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 2014 Model application 41
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 2014 Model application 44
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 2014 Model application 53
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 2014 Model application 43
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 2014 Model application 58
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 2014 Model application 0
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 2014 Model application 73
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 2014 Model application 37
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 2014 Model application 70
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 2014 Model application 37
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 2014 Model application 38
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 2014 Model application 47
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 2014 Model application 29
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 2014 Model application 137
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 2014 Model application 117
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 2014 Model application 16
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 2014 Model application 21
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 2014 Model application 14
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 2014 Model application 113
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 2014 Model application 122
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 2014 Model application 68
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 2014 Model application 23
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 2014 Model application 117
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 2014 Model application 141
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 2014 Model application 51
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 2014 Model overview 1262
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 2014 Model application 8
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 2013 Model application 1
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 2013 Model application 26
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 2013 Model application 18
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 2013 Model application 53
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 2013 Model application 9
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 2013 Model application 34
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 Model application 91
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 2013 Model application 79
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 2013 Model application 90
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 2013 Model application 53
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 2013 Model application 1
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 2013 Model application 38
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. [33] 2013 Model application 12
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 2013 Model application 20
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 2013 Model application 55
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 2013 Model application 44
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 2013 Model application 2
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 2013 Model application 56
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 2013 Model application 22
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 2013 Model application 58
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 2013 Model application 0
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 2013 Model application 0
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 2013 Model application 24
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 2013 Model application 769
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 2013 Model application 13
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 2013 Model application 36
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 2013 Model application 74
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 2013 Model application 20
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 2013 Model application 43
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 2013 Model application 196
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 2013 Model application 123
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 2013 Model application 72
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 2013 Model application 35
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 2013 Model application 196
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 2013 Model application 4
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 2013 Model application 36
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 2013 Model application 10
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 2013 Model application 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 2013 Model application 73
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 2013 Model application 14
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 2013 Model application 11
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 2013 Model application 14
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 2013 Model application 10
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 2013 Model application 17
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 2012 Model application 17
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. [34] 2012 Model application 23
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 2012 Model application 11
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 2012 Model application 54
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 2012 Model application 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] 2012 Model application 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 2012 Model application 10
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 2012 Model application 36
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 2012 Model application 25
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 2012 Model application 9
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 2012 Model application 24
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 2012 Model application 15
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 2012 Model application 89
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 2012 Model application 0
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 2012 Model application 41
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 2012 Model application 223
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 2012 Model application 63
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 2012 Model application 22
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 2012 Model application 54
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 2012 Model application 96
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 2012 Model application 95
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 2012 Model application 13
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 2012 Model application 25
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 2012 Model application 36
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 2012 Model application 3
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 2012 Model application 42
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 2012 Model application 3
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 2012 Model application 65
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 2012 Model application 35
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. 2012 Model application 29
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 2012 Model application 60
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 2012 Model application 73
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 2012 Model application 69
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 2012 Model application 95
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 2012 Model application 2
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 2011 Model application 64
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 2011 Model application 9
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 2011 Model application 259
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 2011 Model application 8
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 2011 Model application 18
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 2011 Model application 36
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 2011 Model application 101
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 2011 Model application 117
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 2011 Model application 89
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 2011 Model application 17
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 2011 Model application 124
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 2011 Model application 102
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 2011 Model application 109
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 2011 Model application 47
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 2011 Model application 41
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 2011 Model application 24
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 2011 Model application 24
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 2011 Model application 42
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 2011 Model application 33
Jaradat, Abdullah A.; Boody, George; 2011. Modeling Agroecosystem Services under Simulated Climate and Land-Use Changes. ISRN Ecology, 20111–17. 10.5402/2011/568723 2011 Model application 10
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 2011 Model application 48
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 2011 Model application 23
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 2011 Model application 49
Kandulu, John; Kandulu, John; 2011. Assessing the potential for beneficial diversification in rain-fed agricultural enterprises. , . 10.22004/AG.ECON.100568 2011 Model application 3
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 2011 Model application 30
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 2011 Model application 0
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 2011 Model application 43
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 2010 Model application 15
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 2010 Model application 31
Reynolds, M. P.; Hodson, D.; White, J.; 2010. GIS and crop simulation modelling applications in climate change research.. , 245–262. [36] 2010 Model application 25
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 2010 Model application 197
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 2010 Model application 41
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. [37] 2010 Model application 11
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 2010 Model application 47
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 2010 Model application 45
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 2010 Model application 25
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. [38] 2010 Model application 0
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 2010 Model application 41
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 2010 Model application 93
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 2010 Model application 288
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 2010 Model application 117
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 2010 Model application 69
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 2010 Model application 86
Li, G.; Huang, G.-B.; 2010. China Science Journal. Chinese Journal of Eco-Agriculture, 342-347. 10.3724/SP.J.1011.2010.00342 2010 Model application 0
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 2010 Model application 78
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 2010 Model application 66
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 2010 Model application 92
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 2010 Model application 25
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 2010 Model application 113
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 2010 Model application 75
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 2010 Model application 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 2010 Model application 288
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 2010 Model application 145
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 2010 Model application 8
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 2009 Model application 2
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. [39] 2009 Model application 2
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 2009 Model application 27
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 2009 Model application 138
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 2009 Model application 10
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 2009 Model application 30
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 2009 Model application 61
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 2009 Model application 63
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 2009 Model application 104
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 2009 Model application 57
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 2009 Model application 123
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 2009 Model application 58
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 2009 Model application 45
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 2009 Model application 7
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 2009 Model application 45
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 2009 Model application 22
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 2009 Model application 58
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 2009 Model application 24
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 2009 Model application 109
Paydar, Zahra; Gaydon, Donald; Chen, Yun; 2009. A methodology for up-scaling irrigation losses. Irrigation Science, 27347–356. 10.1007/s00271-009-0151-6 2009 Model application 14
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 2009 Model application 70
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 2009 Model application 51
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 2009 Model application 47
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 2009 Model application 47
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 2009 Model application 23
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 2008 Model application 53
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 2008 Model application 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 2008 Model application 45
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 2008 Model application 27
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 2008 Model application 35
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 2008 Model application 67
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 2008 Model application 11
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 2008 Model application 140
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 2008 Model application 11
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 2008 Model application 63
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 2008 Model application 29
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 2008 Model application 31
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 2008 Model application 1
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 2008 Model application 34
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 2008 Model application 25
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 2008 Model application 32
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 2008 Model application 42
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 2007 Model application 24
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 2007 Model application 10
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 2007 Model application 17
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 2007 Model application 21
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 2007 Model application 11
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 2007 Model application 23
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 2007 Model application 101
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 2007 Model application 108
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 2007 Model application 71
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 2007 Model application 30
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 2007 Model application 46
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 2007 Model application 89
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 2007 Model application 78
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 2006 Model application 122
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 2006 Model application 64
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 2006 Model application 34
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 2006 Model application 158
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 2006 Model application 80
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 2006 Model application 57
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 2006 Model application 51
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 2006 Model application 593
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 2006 Model application 16
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 2006 Model application 33
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 2006 Model application 32
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 2006 Model application 216
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 2006 Model application 19
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 2006 Model application 15
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 2006 Model application 41
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. , . [40] 2006 Model application 5
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 2005 Model application 79
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 2005 Model application 28
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 2005 Model application 39
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 2005 Model application 28
Paydar, Zahra; Huth, Neil; Snow, Val; 2005. Modelling irrigated Eucalyptus for salinity control on shallow watertables. Soil Research, 43587. 10.1071/SR04152 2005 Model application 19
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 2005 Model application 52
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 2005 Model application 75
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 2005 Model application 31
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 2005 Model application 61
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 2005 Model application 82
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 2005 Model application 21
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 2005 Model application 29
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 2005 Model application 142
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 2004 Model application 308
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 2004 Model application 17
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 2004 Model application 38
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 2004 Model application 110
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 2004 Model application 18
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 2004 Model application 63
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 2004 Model application 31
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 2003 Model application 2
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 2003 Model application 170
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 2003 Model application 70
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 2003 Model application 172
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 2003 Model application 217
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 2003 Model application 52
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 2003 Model application 177
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 2003 Model application 52
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 2003 Model application 217
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 2003 Model application 38
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 2003 Model application 46
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 2003 Model application 60
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 2003 Model overview 2523
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 2003 Model application 38
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 2003 Model application 80
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 2002 Model application 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. [41] 2002 Model application 39
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 2002 Model application 38
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 2002 Model application 108
Cleugh, H. A.; 2002. Parameterising the impact of shelter on crop microclimates and evaporation fluxes. Australian Journal of Experimental Agriculture, 42859. 10.1071/EA02006 2002 Model application 13
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 2002 Model application 88
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 2002 Model application 2
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 2002 Model application 60
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 2002 Model application 39
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 2002 Model application 293
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 2002 Model application 307
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 2002 Model application 18
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 2002 Model application 71
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. , . [42] 2002 Model application 2
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 2002 Model overview 270
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 2002 Model application 5
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 2002 Model application 66
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 2002 Model application 81
Shamudzarira, Z.; Robertson, M. J.; 2002. SIMULATING RESPONSE OF MAIZE TO NITROGEN FERTILIZER IN SEMI-ARID ZIMBABWE. Experimental Agriculture, 3879–96. 10.1017/S0014479702000170 2002 Model application 59
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 2002 Model application 88
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 2001 Model application 55
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 2001 Model application 18
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 2001 Model application 56
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 2001 Model application 173
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 2001 Model application 8
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 2001 Model application 157
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 2001 Model application 0
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 2001 Model application 192
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 2001 Model application 43
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 2001 Model application 119
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 2000 Model application 34
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 2000 Model application 67
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 2000 Model application 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 2000 Model application 18
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 2000 Model application 151
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 2000 Model application 96
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 2000 Model application 79
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 1999 Model application 53
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 1999 Model application 29
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 1999 Model application 132
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 1999 Model application 331
Schuurs, Mark; Wegener, Malcolm K.; Schuurs, Mark; 1999. FARM DAMS - ARE THEY AN OPTION FOR THE QUEENSLAND SUGAR INDUSTRY. , . 10.22004/AG.ECON.124549 1999 Model application 1
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 1998 Model application 295
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 1998 Model application 142
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 1998 Model application 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 1998 Model application 70
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 1998 Model application 20
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 1998 Model application 65
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 1998 Model application 20
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 1998 Model application 26
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 1998 Model application 28
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 1998 Model application 25
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 1998 Model application 576
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 1998 Model application 47
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 1998 Model application 85
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 1996 Model application 22
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 1996 Model overview 887
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 1995 Model overview 71
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 1995 Model application 123
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 1989 Model application 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 1988 Model application 2



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Nr. of publications: 1282
Total citations: 45482
h-index: 96
m-quotient: 2.53

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