The relationship between conformation traits and indicators of meat productivity of crossbred cattle
Autor: | S. Kustova |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
business.industry Withers 0402 animal and dairy science Regression analysis 04 agricultural and veterinary sciences Biology Beef cattle 040201 dairy & animal science 01 natural sciences Crossbreed Animal science Linear regression Per capita Livestock business Dairy cattle 010606 plant biology & botany |
Zdroj: | Genetika i razvedenie zhivotnyh. :46-52 |
ISSN: | 2410-2733 |
DOI: | 10.31043/2410-2733-2020-3-46-52 |
Popis: | Ensuring food security of the country and individual regions is an important state task. In the Magadan Region the consumption of meat and meat products per capita per year is 68% of the recommended norm. In the structure of meat production, cattle occupy 16.4% of the total volume (or 107 tons). Where in the region have the necessary conditions for the development of beef cattle breeding. The relevance of the study is determined by the ability to predict indicators characterizing the meat productivity of livestock. The work was carried out to establish the relationship between exterior development and economically valuable traits of cross-breeding animals obtained by breeding dairy cattle with producers of meat breeds (Hereford, AberdeenAngus) in the circumstances of the Magadan Region. Correlation analysis revealed a strong reliable interdependence between live weight at 17 months with height at the withers and sacrum at 4 months age in groups of second-generation crossbred gobies with a correlation coefficient from 0.74 to 0.85. A positive relationship of varying strength (from weak to medium) of live weight with the measurements of the chest in all four experimental groups was established. The paired linear regression coefficients found during the regression analysis allow us to conclude that the most important criteria for selecting bulls for meat fattening are height measurements at the withers and in the sacrum. Models of multiple linear regressions describing the relationship of live weight and slaughter indicators with the exterior measurements of animals are constructed to determine the complex influence of factors. |
Databáze: | OpenAIRE |
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