The article presents a forecast of grain quality of spring wheat, obtained on the basis of the correlation of grain protein content with the average monthly air temperature in June. The correlation coefficient of the found dependence was 0.75, the equation justification was 94%. The statistical significance of the model is confirmed using Student’s criterion, the analysis of residual deviations and using the Kolmogorov-Smirnov criterion.
