| Abstract: | The ability of the CERES-Maize model to estimate annual fluctuations in maize (Zea mays L.) production for the U.S. Cornbelt was tested for the years 1982–1985. The model was run for 51 weather stations in the 14 states of the Cornbelt, which account for 85% of U.S. maize production. The model was calibrated for the region by deriving varietal coefficients for each station based on minimal growth stage data and yields for the 1982 season. Eight sets of varietal coefficients were derived for the 51 stations and should be interpreted as representing all the hybrids grown in an area, rather than a specific hybrid. For 1982 (the calibration year), 1983, 1984, and 1985, model production estimates were 92, 97, 98, and 101%, respectively, of the official U.S. government estimates. The results indicate that the model may be used for large area yield and production estimation in the U.S.A. with minimal regional calibration. The model has the potential for large area yield estimation in other parts of the world where daily maximum and minimum temperatures, precipitation, and solar radiation data are available. |
