V. V. Gart, S. G. Kulikova, E. V. Kamaldinov, K. N. Narozhnykh, A. F. Petrov
Novosibirsk State Agrarian University, Novosibirsk, Russia
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Volume 25 No. 6
Date of paper submission: 09.12.2024, date of review: 14.03.2025, date of acceptance: 24.04.2025.
Published: 06/30/2025
Abstract. The purpose of the study is to investigate the possibility of predicting milk yield and milk fat content of first-calf heifers by a group of features of linear exterior assessment. Methods. The conjugation of the combination of milk productivity traits (milk yield and milk fat content) with eighteen linear traits, as well as complexes composed of them in highly productive cows of the first calving of the Holstein breed was investigated. The average indicators of the studied group for 305 days of lactation were: milk yield – 10 093 kg, milk fat content – 388 kg. Results. A low statistically significant relationship between the combination of milk yield and fat content with individual linear assessment traits was established, which ranged from 0.054 to 0.173. Two algorithms for compiling complexes are given: 1) based on the ranked values of correlation coefficients; 2) by contribution to the increase in the value of the correlation coefficient of the complex with productive traits. Based on the empirical data of the obtained relationship, graphs of the dependence of milk yield and milk fat yield were constructed, which can be used for indirect assessment of the productivity of groups of first-calf heifers with a certain complex score. Polynomial formulas of highly approximated trend lines for each empirical graph are given. The highest coefficient of correlation of productivity with the complex compiled in accordance with the first algorithm was +0.296, and with the second - +0.299. The complex formed according to the second algorithm was more convenient for indirect prediction of milk yield and milk fat content. The scientific novelty of the research lies in the fact that the results of different algorithms for the formation of combinations of exterior indicators are compared for indirect prediction of two signs of milk productivity of cows at once.
Keywords: Holstein breed, first heifers, exterior, linear assessment, productivity, milk yield, milk fat content, correlation, Western Siberia, complex of linear features, regression model, predicting productivity
Acknowledgements. The study was carried out on the topic of the State Assignment No. FESF-2023-0016.
For citation: Gart V. V., Kulikova S. G., Kamaldinov E. V., Narozhnykh K. N., Petrov A. F. Indirect assessment of the levels of milk productivity traits in first-calf heifers of the Holstein breed. Agrarian Bulletin of the Urals. 2025; 25 (06): 900‒914. https://doi.org/10.32417/1997-4868-2025-25-06-900-914. (In Russ.)
Download the full text of the article
