Multiattribute Assessment of Alternative Cropping Systems

Abstract

Abstract Multiattribute rankings of seventy‐two alternative midwestern cropping systems involving corn, soybeans, and alfalfa hay are analyzed from profitability and environmental quality perspectives. Environmental consequences are simulated using EPIC and GLEAMS, and profitability is based on budget analysis. Results are analyzed using an algorithm based on multiattribute decision theory. A corn‐soybean rotation using low input levels and minimum tillage on high‐productivity soil, and continuous corn using low input levels and minimum tillage on low‐productivity soil are in the preferred set regardless of whether profits or preserving the environment is the first priority for the decision maker.