E3S Web Conf.
Volume 282, 2021International Conference “Ensuring Food Security in the Context of the COVID-19 Pandemic” (EFSC2021)
|Number of page(s)||7|
|Section||Creation of a High-Performance Sector in Agriculture, Developing on the Basis of Modern Technologies|
|Published online||05 July 2021|
Application of correlation and regression analysis in the selection of black-and-white cows
Ural State Agrarian University, Yekaterinburg, Russia
* Corresponding author: firstname.lastname@example.org
The use of the method of correlation-regression analysis as the most widespread method of statistical processing of experimental data makes it possible to organize the selection of animals according to the leading characteristics of productivity. A positive and high correlation was established between milk yield and milk yield in all groups of studied animals (r = from 0.64 to 0.90), and between milk yield in 305 days of lactation and the highest daily milk yield - only in groups of Reflection Sovering and Montvik Chieftain cows. (r = 0.65 to 0.92). Cows of the Vis Back Aydial line have higher correlation coefficients between indicators of milk composition (r = from 0.72 to 0.91, depending on the trait). The calculation of the regression coefficients showed that in the studied groups of animals with an increase in the coefficient of constancy of lactation, the coefficient of milk production and the indicator of the highest daily milk yield per unit, the amount of milk for 305 days of lactation increased by an average of 1.63 - 221.04 kg.
© The Authors, published by EDP Sciences, 2021
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