Early prediction of milk fat content in holstein cattle based on correlated variability with linear traits

The relationship between eighteen conformation linear traits of first-calf heifers of a highly productive subpopulation of Holstein cattle (n=1243) with the milk fat content for 305 days of lactation (cows with shortened lactation were excluded from the sample) was studied using Spearman’s rank correlation coefficient. To obtain the highest rank for animals with the optimal score, their score was adjusted. A table is presented for the transformation of estimates of linear traits depending on the optimal score adopted in the investigated farm. The correlation between the milk fat content and individual traits was multidirectional and varied in absolute terms from 0.060 to 0.154. An algorithm for the formation and correction of complexes of linear traits and the calculation of the total score is given. The conjugation of the milk fat content and the total score of the complex of ten linear traits, including: the length of the front udder, median suspensory, rear attachment height, rear attachment width, loin strength, pin width, chest width, muscularity, stature, teat length (as defined by ICAR standards) was 0.286. The given graphs of the initial and corrected complexes that have the greatest conjugation with the content of milk fat are analyzed in detail. An optimal regression model for early prediction of milk fat content based on its dependence on a set of linear treats is proposed. The approximation accuracy R² of the model was characterized as high and amounted to 0.9831.

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