MULTIFACTORIAL REGRESSION ANALYSIS OF COW BODY TYPE INDICATORS OF FIRST CALF OF THE BLACK-ANDWHITE HOLSTINIZED BREED OF THE MOSCOW REGION

Abstract

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 linear dependence (multiple correlation coefficient R - ≤0,70 and ≥0,30), from the regression statistics, we can see that the “multiple correlation coefficient R” in our case is in the range of 0.67...0.57. The regression equations show that the indicator “milk type” is strongly influenced and interacted with by “height” and “ milk type “(according to “system B”); “corpus” depends on “height” and “depth of the corpus”; “limbs” also depends on “height” and “setting of the hind legs from behind”; “udder” cooperates mostly with the indicators - “central ligament” and “ length of the anterior lobes». The dependent variables “milk type”, “body” greater than” udder “and” limb “are statistically dependent indicators of the” system b “score the regression line is positive, i.e. when any xn increases by one in the regression equation, if all other values of x1...n are 0, the value of bn increases (assuming a positive” + “ sign in front of them). The genetic trend of traits for evaluating the physique of the studied animals tended to improve the indicators of the exterior in the direction of greater severity of the dairy type of cattle and in the direction of smaller udders and limbs.