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Estimating Crop Yields from Simulated Daily Weather Data

1987; American Society of Agricultural and Biological Engineers; Volume: 3; Issue: 2 Linguagem: Inglês

10.13031/2013.26692

1943-7838

Zohrab Samani, George H. Hargreaves, Edgar Zuniga M., A. Keller,

Climate change impacts on agriculture

A weather generating model called WMAKER was developed at Utah State University to simulate daily climatological values using monthly average values and standard deviations of precipitation, temperature, number of rainy days and potential evapotranspiration. The data generated by the WMAKER Model were used to simulate yield probability values for corn under rainfed and irrigated agriculture for stations of Quixeramobim and Brasilia (Brazil) and San Andres and La Union (El Salvador), using the PLANTGRO and CERES-Maize models. The yield probability values were then calculated using actual daily climatic data. It was concluded that the results obtained with actual data were in close agreement with those calculated by the WMAKER Model. The IBSNAT project will soon have yield models available for 10 crops. With adequate documentation, training programs and a monthly data base, these models can become powerful tools for increasing agricultural production, particularly in the developing countries.