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Development of crop coefficient models of castor and maize crops
Institution:1. School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China;2. State Key Laboratory of Sever Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China;3. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China;4. College of Earth Sciences, Chengdu University of Technology, Chengdu, 610000, China;1. Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, China;2. University of Chinese Academy of Sciences, China;1. South Australian Research and Development Institute, GPO Box 397, Adelaide, SA 5001, Australia;2. Department of Environmental Sciences, University of California, Riverside, CA 92521, United States;3. The University of Adelaide, PMB1, Glen Osmond, SA 5064, Australia;1. Instituto Nacional de Tecnología Agropecuaria-Estación Experimental Agropecuaria Santiago del Estero, Jujuy 850, 4200 Santiago del Estero, Argentina;2. Instituto de Agricultura Sostenible, CSIC, Alameda del Obispo, 14080 Córdoba, Spain;1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100048, PR China;2. National Center of Efficient Irrigation Engineering and Technology Research, China Institute of Water Resources and Hydropower Research, Beijing 100048, PR China;3. Beijing IWHR Corporation, Beijing 100048, PR China
Abstract:Castor and maize are the most commonly cultivated crops in the Rajendranagar region of Andhra Pradesh, India. The study aims to develop a crop coefficient (Kc) models for these crops, using Lysimeter measured daily crop evapotranspiration (ETc) data and daily reference evapotranspiration (ET0) computed using FAO-56 Penman-Monteith (PM) method. Kc values obtained using relationship Kc = ETc/ET0, crop coefficient curves were derived as a function of days after sowing and polynomial model was fitted. The performances of the models were tested using performance indicators. The models performed well for both the crops. These models can, therefore, be used for estimating Kc values of castor and maize crops for any day after sowing in the study region.
Keywords:Reference evapotranspiration  Crop coefficients  Polynomial equations    FAO-56 Penman-Monteith method
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