Modelling of yield of winter wheat as a function of soil water availability |
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| Affiliation: | 1. Soil Institute of Iran, Tehran Iran;2. Laboratory of Soil and Water Engineering, University of Leuven, 3030 Leuven Belgium;1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China;2. National Center of Efficient Irrigation Engineering and Technology Research-Beijing, Beijing, 100048, China;3. College of Agriculture, Guangxi University, Nanning, Guangxi, 530005, China;1. College of Energy, Xiamen University, Xiamen, Fujian, 361102, PR China;2. National Engineering Laboratory for Green Chemical Productions of Alcohols-Ethers-Esters, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, PR China;1. USDA-ARS, Agricultural Systems Research Unit, Fort Collins, CO 80526, United States;2. Division of Natural Resources Management (NRM), Indian Council of Agricultural Research (ICAR), New Delhi, 110012, India;3. USDA-ARS, Water Management and Systems Research Unit, Fort Collins, CO 80526, United States;4. USDA-ARS, Crop Production Systems Research Unit, Stoneville, MS 38776, United States;5. USDA-ARS, The National Lab for Agricultural and The Environment, Ames, IA 50011, United States;1. School of Agriculture & Environment, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand;2. Department of Export Agriculture, Faculty of Animal Science and Export Agriculture, Uva Wellassa University, Badulla, Sri Lanka;3. GNS Science, Lower Hutt, New Zealand;4. School of Food and Advanced Technology, Massey University, New Zealand |
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| Abstract: | Winter wheat field data from three different ecological regions were used to validate the performance of the SLEWW-WTGRO model. This model simulates total dry matter accumulation of a crop, assuming that soil water is the main growth-limiting variable. Field data used for the validation were all monitored on experimental sites with ample nutrient supply, and crop diseases and weed growth were kept under control. The present model differs from other modelling approaches in the sense that the model itself generates the leaf area extension without losing its simplicity or increasing the number of input variables considerably. Comparison of the simulation results with data of field experiments from Belgium, India and Iran permitted study of the model performance under a wide range of climatic and farming conditions. |
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