<<<  Back

2023, № 107

UDC: 636.22/28.082
GSNTI: 68.39.13,68.39.29

Influence of different factors on Simmental cows productivity and longevity

The studies were carried out on Simmental cows bred in 29 farms in 14 regions of Russia. The total number of livestock was 55,614 cows, whose fathers were 2255 sires. The research period covered 23 years (1998-2020). To study the influence of different factors on lifelong productivity and longevity use of Simmental cows, we used multivariate analysis of variance, which was carried out using the RStudio program. As a result of the studies, it was revealed that paratypical factors have a greater impact on the productive longevity of Simmental cows, since in total they amounted to 27.8-28.4% (at P<0.001) of lifelong productivity and 33.1-33.7 % (at P<0.001) on longevity expectancy of a cow in the herd. While the influence of the sire (genetic factor) is only 8.1-8.3% (at P<0.001) and 6.7-7.3% (at P<0.001), respectively. The greatest significant influence on lifelong productivity is exerted by the year of birth a cow 17.1-17.8% (at P<0.001), and the minimum effect is the year of the cows first calving 2.7-2.9% (at P<0.001). It has been established that the country of origin the bulls (Russian or foreign selection) has a minimal impact on the lifelong productivity of daughters - 0.10-0.20% (at P<0.001), while the sire has a more significant effect on both the lifelong productivity (20.8-21.0%, at P<0.001), and longevity of daughters (19.9-20.3%, at P<0.001).
Keywords: Simmental breed, analysis of variance, lifelong productivity, longevity.
DOI: 10.21515/1999-1703-107-208-213

References:

1. Бекенев, В. А. Продуктивное долголетие животных, способы его прогнозирования и продления (обзор) / В. А. Бекенев // Сельскохозяйственная биология. - 2019. - Т. 54. - № 4. - С. 655-666.
2. Логинов, Ж. Г. Продолжительность хозяйственного использования как признак, учитываемый при комплексной оценке быков-производителей / Ж. Г. Логинов, Н. Р. Рахматуллина, Б. А. Сервак и др. // Сельскохозяйственная биология. - 2010. - № 2. - С. 54-58.
3. Анисимова, Е. И. Продуктивное долголетие и пожизненная продуктивность симментальских коров Поволжья / Е. И. Анисимова, П. С. Катмаков // Аграрная Россия. - 2020. - № 10. - С. 38-42. - DOI: 10.30906/1999-5636-2020-10-38-42.
4. Ежегодник по племенной работе в молочном скотоводстве в хозяйствах Российской Федерации (2021 год). - М.: ФГБНУ ВНИИплем. - 2022. - 262 с.
5. Адушинов, Д. С. Возможные причины, влияющие на продуктивное долголетие коров / Д. С. Адушинов // Вестник ИРГСХА. - 2022. - №109. - С. 119-128. - DOI: 10.51215/ 1999-3765-2022-109-119-128.
6. Игнатьева, Л. П. Продолжительность продуктивной жизни коров симментальской породы / Л. П. Игнатьева, А. А. Сермягин // Аграрный вестник Урала. - 2021. - № 10(213). - С. 31-39. - DOI: 10.32417/1997-4868-2021-213-10-31-39.
7. Игнатьева, Л. П. Влияние быков-производителей зарубежной селекции на продуктивное долголетие коров Российской популяции симментальской породы / Л. П. Игнатьева // Пермский аграрный вестник. - 2022. - № 3(39). - С. 78-86. - DOI: 10.47737/2307-2873_2022_39_77.
8. Doornewaard, G. J. Sectorrapportage duurzame zuivelketen: Prestaties 2017 in perspectief. / G. J. Doornewaard, J. W. Reijs, A. C. G. Beldman, J. H. Jager, and M. W. Hoogeveen // Wageningen Economic Research, Wageningen, the Netherlands. - 2018. - P. 94-96.
9. Lactanet. CanWest DHI progress reports. Accessed May 15, - 2020. - [http://www.canwestdhi.com/publications.htm. Дата обращения 15.05.2023].
10. Council on Dairy Cattle Breeding. Trend in productive life for Holstein or Red and White. Accessed May 15, 2020. [https://queries.uscdcb.com/eval/summary/trend.cfm?RMenu=HO.l#StartBody. - Дата обращения 18.05.2023].
11. Cassell, B. G. Using heritability for genetic improvement / B. G. Cassell. Publication no. 404-084. Virginia Cooperative Extension, Blacksburg, VA.
12. Tokuhisa, K. Estimation of regional genetic parameters for mortality and 305-d milk yield of US Holsteins in the first 3 parities. / K. Tokuhisa, S. Tsuruta, A. De Vries, J. K. Bertrand, and I. Misztal. //j. DairySci. - 2013. - Vol. 97. - P. 4497-4502. - DOI.org/10.3168/jds.2013-7697.
13. McConnel, C. S. Evaluation of factors associated with increased dairy cow mortality on United States dairy operations / C. S. McConnel, J. E. Lombard, B. A. Wagner, and F. B. Garry //j. DairySci. - 2007. - Vol.91. - P. 1423-1432. - DOI.org/10.3168/jds.2007-0440.
14. Weigel, K. A. A 100-year review: Methods and impact of genetic selection in dairy cattle From daughter-dam comparisons to deep learning algorithms. / K. A. Weigel, P. M. VanRaden, H. D. Norman, and H. Grosu //j. Dairy Sci. - 2017. - Vol.100. - P.10234-10250. - DOI.org/10.3168/jds.2017-12954.
15. De Vries, A. Economic trade-offs between genetic improvement and longevity in dairy cattle. / A. De Veries //j. Dairy Sci. - 2016. - Vol. 100. - P. 4184-4192. - DOI.org/10.3168/ jds.2016-11847.

Authors:

1. Ignatieva Larisa Pavlovna, Candidat Agr. Sci., Leading Researcher, FSBSI “Federal Research Center for Animal Husbandry named after Academy Member L.K. Ernst”.