Preview

Proceedings of the National Academy of Sciences of Belarus. Agrarian Series

Advanced search

Evaluation of breeding traits of parental forms of sows and boars using selection indices

https://doi.org/10.29235/1817-7204-2019-57-2-216-229

Abstract

Breeding indices represent qualitatively new approach to evaluation of animals. They are the selection scale the animals can be quantitatively differentiated by breeding value with. They are needed also due to the fact that at present, when creating new breeds and types, selection is carried out according to many quantitative traits of various breeding and economic importance. The paper presents results of evaluation of parental forms animals (Y ç L and L ç Y) by reproductive traits, and also breeding value of animals is analyzed based on breeding indices. Complex index of the breeding value of sows of the final parental forms (Y ç L) made 99.3 scores, sows of Landrace breed - 98.7 scores. Growth and development indicators of sows, as well as boars aged 12 months are studied according to fattening traits. The breeding value of pigs was determined according to the following performance indicators: number of nipples, average daily weight gain of animal from birth to 100 kg of body weight, backfat thickness, lean meat level in carcass. Using modern genetic methods, calculations were carried out to evaluate the breeding value of sows by their performance traits, which made it possible to identify the true genetic potential of animals and predict performance traits of their offspring. Acknowledgments. The research was carried out as part of the state scientific and technical program of the State Pedagogical Institute for Scientific Research “Quality and Efficiency of Agroindustrial Production”, subprogram “Livestock and breeding for 2016–2020” on the topic “Methodology for creating highly productive genotypes of pigs of meat productivity using classical breeding techniques in combination with marker selection”.
Views: 875


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1817-7204 (Print)
ISSN 1817-7239 (Online)