ESTIMATION OF BROOD COW MILK PRODUCTIVITY WITH USING MULTIDIMENSIONAL STATISTICAL ANALYSIS

Abstract

The milk productivity increasing in combined with animal longevity ensures the achievement of optimal economic indicators (profitability, payback period of investment projects), reduction of the negative impact of inflation and other macroeconomic factors on the financial results of organizations specializing in milk production. At the example of one of the breeding farms of the Republic of Karelia, a analysis of productivity indicators of dairy cows was conducted (441 species). Processing of the experimental materials was conducted by using methods of cluster, factor and discriminating analysis, which allowed not only for not grouping the numerous population according to homogeneity of manifestations of zootechnical indicators, but also to establish the structure of connections between the researched variables (life longevity, milk production, contents of fat, live weight, and age of the first calving, alleles, and the reasons for disposal). The step-by-step discriminative analysis confirmed by 97,73 % the reliability of dividing the animals into three groups (clusters). Among the principal discriminators dividing the cows reliably were: life expectancy, productivity, live weight and age of the first calving. The use of factor analysis established the direct unidirectional connection between the allele of EAB-system and the reason for the animal withdrawal.