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25 years of the WOFOST cropping systems model

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Cited by:

  1. Kakoulaki, G. & Gonzalez Sanchez, R. & Gracia Amillo, A. & Szabo, S. & De Felice, M. & Farinosi, F. & De Felice, L. & Bisselink, B. & Seliger, R. & Kougias, I. & Jaeger-Waldau, A., 2023. "Benefits of pairing floating solar photovoltaics with hydropower reservoirs in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
  2. Batista, Fabiana de Souza & Duku, Confidence & Hein, Lars, 2023. "Deforestation-induced changes in rainfall decrease soybean-maize yields in Brazil," Ecological Modelling, Elsevier, vol. 486(C).
  3. Tiecheng Bai & Nannan Zhang & Youqi Chen & Benoit Mercatoris, 2019. "Assessing the Performance of the WOFOST Model in Simulating Jujube Fruit Tree Growth under Different Irrigation Regimes," Sustainability, MDPI, vol. 11(5), pages 1-16, March.
  4. Mahboobe Ghobadi & Mahdi Gheysari & Mohammad Shayannejad & Hamze Dokoohaki, 2023. "Analyzing the Effects of Planting Date on the Uncertainty of CERES-Maize and Its Potential to Reduce Yield Gap in Arid and Mediterranean Climates," Agriculture, MDPI, vol. 13(8), pages 1-17, July.
  5. Melpomeni Nikou & Theodoros Mavromatis, 2023. "Demonstrating the Use of the Yield-Gap Concept on Crop Model Calibration in Data-Poor Regions: An Application to CERES-Wheat Crop Model in Greece," Land, MDPI, vol. 12(7), pages 1-19, July.
  6. Paudel, Dilli & Boogaard, Hendrik & de Wit, Allard & Janssen, Sander & Osinga, Sjoukje & Pylianidis, Christos & Athanasiadis, Ioannis N., 2021. "Machine learning for large-scale crop yield forecasting," Agricultural Systems, Elsevier, vol. 187(C).
  7. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & He, Hai & He, Jian & Yin, Hao & Zhang, Yaxin, 2021. "Coupled hydrology-crop growth model incorporating an improved evapotranspiration module," Agricultural Water Management, Elsevier, vol. 246(C).
  8. Brombacher, Joost & Silva, Isadora Rezende de Oliveira & Degen, Jelle & Pelgrum, Henk, 2022. "A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm," Agricultural Water Management, Elsevier, vol. 267(C).
  9. Jiandong Liu & Jun Du & De-Li Liu & Hans W. Linderholm & Guangsheng Zhou & Yanling Song & Yanbo Shen & Qiang Yu, 2022. "Spatial and Temporal Variations in the Potential Yields of Highland Barley in Relation to Climate Change in Three Rivers Region of the Tibetan Plateau from 1961 to 2020," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
  10. Feng, Dingrui & Li, Guangyong & Wang, Dan & Wulazibieke, Mierguli & Cai, Mingkun & Kang, Jing & Yuan, Zicheng & Xu, Houcheng, 2022. "Evaluation of AquaCrop model performance under mulched drip irrigation for maize in Northeast China," Agricultural Water Management, Elsevier, vol. 261(C).
  11. Hamze, Mohamad & Cheviron, Bruno & Baghdadi, Nicolas & Lo, Madiop & Courault, Dominique & Zribi, Mehrez, 2023. "Detection of irrigation dates and amounts on maize plots from the integration of Sentinel-2 derived Leaf Area Index values in the Optirrig crop model," Agricultural Water Management, Elsevier, vol. 283(C).
  12. Bohan, David & Schmucki, Reto & Abay, Abrha & Termansen, Mette & Bane, Miranda & Charalabiis, Alice & Cong, Rong-Gang & Derocles, Stephane & Dorner, Zita & Forster, Matthieu & Gibert, Caroline & Harro, 2020. "Designing farmer-acceptable rotations that assure ecosystem service provision inthe face of climate change," MPRA Paper 112313, University Library of Munich, Germany.
  13. Knapen, Rob & Lokers, Rob & Janssen, Sander, 2023. "Evaluating the D4Science virtual research environment platform for agro-climatic research," Agricultural Systems, Elsevier, vol. 210(C).
  14. Mabhaudhi, Tafadzwanashe & Dirwai, Tinashe Lindel & Taguta, Cuthbert & Sikka, Alok & Lautze, Jonathan, 2023. "Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review," Agricultural Water Management, Elsevier, vol. 290(C).
  15. Shi, Yinfang & Wang, Zhaoyang & Hou, Cheng & Zhang, Puhan, 2022. "Yield estimation of Lycium barbarum L. based on the WOFOST model," Ecological Modelling, Elsevier, vol. 473(C).
  16. Serra, J. & Paredes, P. & Cordovil, CMdS & Cruz, S. & Hutchings, NJ & Cameira, MR, 2023. "Is irrigation water an overlooked source of nitrogen in agriculture?," Agricultural Water Management, Elsevier, vol. 278(C).
  17. Heinen, Marius & Mulder, Martin & van Dam, Jos & Bartholomeus, Ruud & de Jong van Lier, Quirijn & de Wit, Janine & de Wit, Allard & Hack - ten Broeke, Mirjam, 2024. "SWAP 50 years: Advances in modelling soil-water-atmosphere-plant interactions," Agricultural Water Management, Elsevier, vol. 298(C).
  18. Pasquel, Daniel & Cammarano, Davide & Roux, Sébastien & Castrignanò, Annamaria & Tisseyre, Bruno & Rinaldi, Michele & Troccoli, Antonio & Taylor, James A., 2023. "Downscaling the APSIM crop model for simulation at the within-field scale," Agricultural Systems, Elsevier, vol. 212(C).
  19. Sietz, Diana & Conradt, Tobias & Krysanova, Valentina & Hattermann, Fred F. & Wechsung, Frank, 2021. "The Crop Generator: Implementing crop rotations to effectively advance eco-hydrological modelling," Agricultural Systems, Elsevier, vol. 193(C).
  20. Desheng Wang & Chengkun Wang & Lichao Xu & Tiecheng Bai & Guozheng Yang, 2022. "Simulating Growth and Evaluating the Regional Adaptability of Cotton Fields with Non-Film Mulching in Xinjiang," Agriculture, MDPI, vol. 12(7), pages 1-20, June.
  21. Cai, Liping & Wang, Hui & Liu, Yanxu & Fan, Donglin & Li, Xiaoxiao, 2022. "Is potential cultivated land expanding or shrinking in the dryland of China? Spatiotemporal evaluation based on remote sensing and SVM," Land Use Policy, Elsevier, vol. 112(C).
  22. dos Santos Vianna, Murilo & Metselaar, Klaas & de Jong van Lier, Quirijn & Gaiser, Thomas & Marin, Fábio Ricardo, 2024. "The importance of model structure and soil data detail on the simulations of crop growth and water use: A case study for sugarcane," Agricultural Water Management, Elsevier, vol. 301(C).
  23. Siatwiinda M. Siatwiinda & Iwan Supit & Bert van Hove & Olusegun Yerokun & Gerard H. Ros & Wim de Vries, 2021. "Climate change impacts on rainfed maize yields in Zambia under conventional and optimized crop management," Climatic Change, Springer, vol. 167(3), pages 1-23, August.
  24. Wang, Zhaoyang & Shi, Yinfang & Hou, Cheng & Zhang, Puhan, 2024. "Sensitivity analysis of simulated Lycium barbarum L. yield in the WOFOST model under different climate conditions," Ecological Modelling, Elsevier, vol. 488(C).
  25. Liu, Xiao & Yang, Dawen, 2021. "Irrigation schedule analysis and optimization under the different combination of P and ET0 using a spatially distributed crop model," Agricultural Water Management, Elsevier, vol. 256(C).
  26. Gardner, A.S. & Gaston, K.J. & Maclean, I.M.D., 2021. "Combining qualitative and quantitative methodology to assess prospects for novel crops in a warming climate," Agricultural Systems, Elsevier, vol. 190(C).
  27. Gardner, A.S. & Maclean, I.M.D. & Gaston, K.J. & Bütikofer, L., 2021. "Forecasting future crop suitability with microclimate data," Agricultural Systems, Elsevier, vol. 190(C).
  28. Shen Tan & Shengchao Qiao & Han Wang & Sheng Chang, 2024. "Predicting Wheat Potential Yield in China Based on Eco-Evolutionary Optimality Principles," Agriculture, MDPI, vol. 14(11), pages 1-15, November.
  29. Mary Ollenburger & Page Kyle & Xin Zhang, 2022. "Uncertainties in estimating global potential yields and their impacts for long-term modeling," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(5), pages 1177-1190, October.
  30. Wang, Xingwang & Lei, Huimin & Li, Jiadi & Huo, Zailin & Zhang, Yongqiang & Qu, Yanping, 2023. "Estimating evapotranspiration and yield of wheat and maize croplands through a remote sensing-based model," Agricultural Water Management, Elsevier, vol. 282(C).
  31. Bai, Tiecheng & Zhang, Nannan & Wang, Tao & Wang, Desheng & Yu, Caili & Meng, Wenbo & Fei, Hao & Chen, Rengu & Li, Yanhui & Zhou, Baoping, 2021. "Simulating on the effects of irrigation on jujube tree growth, evapotranspiration and water use based on crop growth model," Agricultural Water Management, Elsevier, vol. 243(C).
  32. Dhouib, M. & Zitouna-Chebbi, R. & Prévot, L. & Molénat, J. & Mekki, I. & Jacob, F., 2022. "Multicriteria evaluation of the AquaCrop crop model in a hilly rainfed Mediterranean agrosystem," Agricultural Water Management, Elsevier, vol. 273(C).
  33. Martínez-Romero, A. & López-Urrea, R. & Montoya, F. & Pardo, J.J. & Domínguez, A., 2021. "Optimization of irrigation scheduling for barley crop, combining AquaCrop and MOPECO models to simulate various water-deficit regimes," Agricultural Water Management, Elsevier, vol. 258(C).
  34. Cheng, Minghui & Wang, Haidong & Fan, Junliang & Xiang, Youzhen & Liu, Xiaoqiang & Liao, Zhenqi & Abdelghany, Ahmed Elsayed & Zhang, Fucang & Li, Zhijun, 2022. "Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies," Agricultural Water Management, Elsevier, vol. 274(C).
  35. Xiulu Sun & Yizan Li & Marius Heinen & Henk Ritzema & Petra Hellegers & Jos van Dam, 2022. "Fertigation Strategies to Improve Water and Nitrogen Use Efficiency in Surface Irrigation System in the North China Plain," Agriculture, MDPI, vol. 13(1), pages 1-23, December.
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