Research in regression models for the dependence of grain quality indicators on agrobiological factors

The article discusses the impact of various agricultural and climatic factors on the yield of durum wheat in a continental climate. Among agrobiological factors, four were selected empirically; linear correlation was estimated by constructing multivariate regression models. The obtained regression equations for various indicators of quality are determined taking into account different rates of seeding. Based on the analysis of time series and the minimax criterion, the most optimal seeding rate for the coming period was determined.