Predictive mathematical models depending on the productivityof wheat affected by the diseases

Based on many years of research in the phytosanitary regression analysis of the complex data 154 accessions of winter wheat 4 prognostic mathematical models are created. They show a high degree of variation of confidence yield and natural weight of wheat, depending on the extent of rust, powdery mildew, bacterial diseases, bacterial with viral diseases, complex of pathogens and pests, as well as the hydrothermal conditions of the growing season.