The article evaluates trends in wheat yield models for the U.S. Great Plains from 1932 to 1976. The researchers selected the most important weather variables and used statistical methods to improve the accuracy of their models. They found that the best models for predicting wheat yields included combinations of increasing, decreasing, and constant trends.