MULTIATTRIBUTE ASSESSMENT OF ALTERNATIVE CROPPING SYSTEMS

Multiattribute rankings of seventy-two alternative midwestern cropping systems involving corn, soybeans, and alfalfa hay are analyzed from p rofitability and environmental quality perspectives. Environmental con sequences are simulated using EPIC and GLEAMS, and profitability is ba sed on budget analysis. Results are analyzed using an algorithm based on multiattribute decision theory. A corn-soybean rotation using low i nput levels and minimum tillage on high-productivity soil, and continu ous corn using low input levels and minimum tillage on low-productivit y soil are in the preferred set regardless of whether profits or prese rving the environment is the first priority for the decision maker.