Abstract
Abstract For effective management of animal breeding, complete, high-quality and reliable information about an individual animal, about the population as a whole, is required. For breeding work, it is necessary to select breeding bulls, the offspring of which have high productivity. The selection of ancestors and offspring of bulls makes it possible to consolidate or consolidate these traits. The aim of the research is to improve the methodology for beef cattlegenetic evaluation. Material and methodology. Beef cattle genetic evaluation implemented by BLUP (Best Linear Unbiased Prediction). Mixed linear biometric models (AM / MME) were built for each assessed productive trait: Birth Weight, Weaning Weight, Milking at Calf Weaning, Yearling Weight. 74,868 animals of the Hereford breed. Percentages describe 5% and 10% share distributions of index values. The EPD values of live weight at birth in 90% of cases lie in the range from “-8.76” to “+18.21”; for live weight at weaning in the range from “-35.73” to “+42.83”; for live weight per year from “-51.45” to “+90.18”. The best and lowest EPD values are in 10% edge intervals relative to the entire set of calculated estimates. The proportional distribution of EPD accuracy in 2020 for the productive indicators of animals born in the period 2014–2020 of the Hereford breed have zero values up to 10%. The smaller number of fractions of non-zero values of the CPI accuracy indicates a more complete and qualitative filling of the database with productive indicators of live masses in recent years. In Kazakhstan, a method for calculating EPD by the BLUP AM method was developed with the construction of a genetic model of an animal and EPDs were calculated according to 5 productive indicators: live weights at birth, at weaning, at 12 months. age, adult animal (age 5 years) and milk production of cows.
Accepted Version
Published Version
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