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Abstract
Introduction: Much research has been directed toward the problem of relating crop yields to weather. The value of a model that would show the effect of weather factors, such as temperature and precipitation, on the yield of a specific crop can be easily justified. Perhaps the most important use of a predictive weather-crop yield model would be in evaluating the potential production of a given crop. The analysis that follows is a brief review of preliminary research aimed at estimating the effects of weather (temperature, precipitation, and soil moisture), fertilizer use, and, in some instances, time on wheat yields in the USSR. Regression analysis was used to determine weather variables that significantly influence crop yields. The resulting regression equations are used to "predict" wheat yields in the USSR for 1972 and 1973. Basic research was completed in August 1973. Minor revisions include incorporation of data on plan fulfillment, published in January 1974.