Abstract
A basic parametric crop yield model (YIELD) that uses climatic and environmental data to calculate yield and associated parameters for grain corn (maize) was applied to a transect through the North American Great Plains. This paper continues our examination of the impact of probable climatic change scenarios on crop evapotranspiration and irrigation requirements (Terjung et al., 1984), This study of grain corn yields showed highest yield for the first (or primary) harvest under full irrigation occurring under a sunny and cold scenario in Austin, TX, sunny and cool in Kansas City, KS, and sunny and warm in Bismarck, ND. Lowest irrigated yield was found with cloudy and hot and very dry climate change scenarios. Under rainfed-only conditions, minima were obtained under the sunny-hot and -warm scenarios and very dry conditions.
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J. T. Hayes is a professor at the Department of Geography and Regional Planning, State University of New York, Albany, NY, U.S.A.
L. O. Mearns is also currently associated with the National Center for Atmospheric Research, funded by the National Science Foundation.
Dr. Liverman is a professor at the Department of Geography, University of Wisconsin, Madison, Wis., U.S.A.
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Liverman, D.M., Terjung, W.H., Hayes, J.T. et al. Climatic change and grain corn yields in the North American Great Plains. Climatic Change 9, 327–347 (1986). https://doi.org/10.1007/BF00139076
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DOI: https://doi.org/10.1007/BF00139076