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Evaluation of the phenotype of the Karachayev sheep with the use of factor analysis and complex indicator of productivity

https://doi.org/10.26897/2074-0840-2022-2-17-22

Abstract

The article describes the results of a study of phenotype indicators using a complex productivity indicator (KPi) of sheep of the Karachay breed. For its formation, a principal component analysis was preliminarily performed. The studies were carried out on one-year-old rams of the Karachay breed (n=50). The calculations were carried out using the integrated mathematical package MATLAB. As a result of the analysis, 7 principal components (PC) were calculated, characterizing 82.5% of the variance, in which the greatest contribution was made by indicators determined using ultrasound: the thickness of the femoral muscle and the width of the muscular eye. The numerical values of the complex index of productivity made it possible to rank the animals into two groups: “MED” and “MAX”. No animals were found in the “MIN” group. The presented algorithm for the formation of a complex indicator of the productivity of sheep of the Karachay breed makes it possible to evaluate simultaneously for several phenotypic traits and can be used to prepare data for mathematical analysis and a genome-wide search for associations to identify genes that form the productive qualities of sheep. 

About the Authors

A. Yu. Krivoruchko
FSBSI «North Caucasian Agrarian Center»
Russian Federation


K. A. Katkov
FSBSI «North Caucasian Agrarian Center»
Russian Federation


A. A. Kanibolotskaya
FSBSI «North Caucasian Agrarian Center»
Russian Federation


A. V. Skokova
FSBSI «North Caucasian Agrarian Center»
Russian Federation


O. A. Yatsyk
FSBSI «North Caucasian Agrarian Center»
Russian Federation


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For citations:


Krivoruchko A.Yu., Katkov K.A., Kanibolotskaya A.A., Skokova A.V., Yatsyk O.A. Evaluation of the phenotype of the Karachayev sheep with the use of factor analysis and complex indicator of productivity. Sheep, goats, wool business. 2022;(2):17-22. (In Russ.) https://doi.org/10.26897/2074-0840-2022-2-17-22

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ISSN 2074-0840 (Print)