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.