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Abstract

A daily crop growth simulation model was applied to four dry land cropping systems to estimate the profit distributions for each of four price series under stochastic weather conditions on the Southern High Plains of Texas. Stochastic dominance with respect to a function was utilized to rank each crop rotation for different risk-averse intervals. Solutions from the model indicate that long-term average annual soil loss due to wind erosion was a function of the producer's risk aversion, price expectation, and discount rate which affect the optimal crop rotation selection.

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