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MULTIFACTORIAL REGRESSION ANALYSIS OF COW BODY TYPE INDICATORS OF FIRST CALF OF THE BLACK-ANDWHITE HOLSTINIZED BREED OF THE MOSCOW REGION
МНОГОФАКТОРНЫЙ РЕГРЕССИОННЫЙ АНАЛИЗ ПОКАЗАТЕЛЕЙ ТИПА ТЕЛОСЛОЖЕНИЯ КОРОВ-ПЕРВОТЕЛОК ЧЕРНО-ПЕСТРОЙ ГОЛШТИНИЗИРОВАННОЙ ПОРОДЫ ПОДМОСКОВЬЯ
2020
Vestnik of Ulyanovsk state agricultural academy
МНОГОФАКТОРНЫЙ РЕГРЕССИОННЫЙ АНАЛИЗ ПОКАЗАТЕЛЕЙ ТИПА ТЕЛОСЛОЖЕНИЯ КОРОВ-ПЕРВОТЕЛОК ЧЕРНО-ПЕСТРОЙ ГОЛШТИНИЗИРОВАННОЙ ПОРОДЫ ПОДМОСКОВЬЯ
The object of research was 59765 heads (2005...2018) of cows of the first calving of black-and-white Holstein breed, this number is predominant in the complexes of the Moscow region. The database contains 4 parameters of the "A" system assessment and 17 features of the "B" system body type assessment. Based on shown calculations, we have obtained the coefficients of the regression equation b0...n (78.34...-0.02). The studied indicators "milk type", "body" and "udder" have an average level of
doi:10.18286/1816-4501-2020-4-226-231
fatcat:4utcujrayza33hdk5yqp4uywve