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Abstract

A mathematical programming model with estimated nonlinear water response functions is used to explore the allocation of limited ground water to flood irrigated corn, flood-irrigated grain sorghum, and dryland sorghum in western Kansas. Results suggest that as ground water availability decreases, more dryland sorghum and less irrigated corn should be produced.

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