Use of the integrated productivity indicator for the assessment of genetic potential of sheep of different genotypes

The effect of selection in sheep breeding depends on the identification of the best genotypes and using them widely in practical breeding. Improving the productive qualities of animals through the use of genetic potential is impossible without a systematic evaluation of productivity traits - this dictates the need for new approaches to the assessment of phenotypic parameters. Modern research suggests the use of mathematical models to determine the growth constants of animals in the age aspect, as well as to predict the level of productivity in subsequent periods of ontogenesis, based on data on the initial live weight. However, in recent years, studies have appeared aimed at using multivariate methods of analysis, that is principal component analysis for studying the peculiarities of growth processes in farm animals. In the presented article, a complex indicator of productivity is developed for assessing the genetic potential of sheep of different genotypes based on the method of principal components. The formation of the number of a complex indicator of productivity (KPP) included the use of physiological and biochemical blood parameters and the value of the live weight of young sheep. The Principal Component Analysis (PCA) method was used to form the indicator under study, which allows us to perform analysis of variance and identify genotypes of high productivity. Using this method will help to reduce the dimension of the original data. In addition, the principal components method, based on the calculated commonalities, allowed us to determine the measured parameters that have the greatest informative value. To determine the influence of one or another genotype, characterizing the studied groups of animals, on the value of the calculated complex indicator of productivity, the procedure of one-way analysis of variance was used. The calculated complex indicator of productivity was used as the resulting trait, and the belonging of the animal to one or another genotype was used as the gradations of the factor. The results of analysis of variance indicate that among the sheep of the studied genotypes, crossbred animals SMxAMM, SMx (SMxAMM), characterized by the highest productivity, were identified.