LENGTH OF PRODUCTIVE LIFE THE COWS OF SIMMENTAL BREED
Rubrics: BIOLOGY
Abstract and keywords
Abstract (English):
Abstract. The purpose of the research was to assess the duration of the length of productive life of Simmental cows. Methods. The research was carried out on Simmental cows bred in 14 regions of the Russian Federation, the total livestock was 8 832 heads. The calculation of the heritability coefficients and correlation (genetic and paratypic) was carried out by using the programs RENUMF90 and REMLF90. Results. A fairly strong relationship was established between the duration of a productive life (months) and the age of culling (lactations) r = +0.795, the length of productive life (months) and lifetime productivity within the range of +0.669…+0.714. However, the relationship between the age of culling (lactations) and lifetime productivity is moderate, from +0.261 to +0.316. A moderate negative relationship was obtained between the age of culling (lactations) and milk yield per first lactation from –0.472 to –0.486. The average relationship was found between milk yield per first lactation and lifetime productivity from +0.567 to +0.588. Cows of the Altai Territory (3.08 lactations or 61.6 months), the Republic of Mordovia (3.38 lactations or 62.4 months) and the Lipetsk region (3.40 lactations or 65.7 months) were distinguished by low age of culling. While the greatest length of productive life was noted in animals and Bryansk (5.48 lactations or 86.9 months) and Irkutsk regions (4.57 lactations or 77.1 months). Bryansk (23 630 kg of milk), Tyumen (18 156 kg) and Irkutsk (17 751 kg) regions occupied the leading positions in lifetime productivity of cows in the sample, while the outsiders were the regions of traditional cattle breeding - Altai Territory (12658 kg of milk), the Republic of Bashkiria (12 482 kg). Scientific novelty. For the population Simmental cattle of the Russian Federation, for the first time, an assessment of selection and genetic parameters of lifelong productivity and length of productive life of Simmental cows was carried out, depending on the breeding region.

Keywords:
length of productive life, age of culling, milk production, lifetime productivity, correlation parameter, Simmental breed
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References

1. Bekenev V. A. Produktivnoe dolgoletie zhivotnyh, sposoby ego prognozirovaniya i prodleniya (obzor) // Sel'skohozyaystvennaya biologiya. 2019. T. 54. № 4. S. 655-666.

2. Chasovschikova M. A. Molochnaya produktivnost' i prodolzhitel'nost' hozyaystvennogo ispol'zovaniya korov cherno-pestroy porody // Izvestiya Sankt-Peterburgskogo gosudarstvennogo agrarnogo universiteta. 2018. № 4 (53). S. 109-113. DOI:https://doi.org/10.24411/2078-1318-2018-14109.

3. Tatueva O. V., Kol'cov D. N. Vliyanie geneticheskih faktorov na pozhiznennuyu produktivnost' korov Vazuzskogo tipa sychevskoy porody // Mezhdunarodnyy nauchno-issledovatel'skiy zhurnal. 2016. № 11 (53). Ch. 5. S. 47-52.

4. Chechenihina O. S., Kaschanceva E. S., Stepanova Yu. A., Smirnov M. N. Produktivnoe dolgoletie korov cherno-pestroy porody v raznyh ekologicheskih oblastyah Urala // Vestnik NGAU. 2019. № 3 (52). S. 120-126. DOI:https://doi.org/10.31677/2072-6724-2019-52-3-120-126.

5. Koryakina L. P. Simmental'skiy skot central'noy Yakutii i ego produktivnoe dolgoletie // Sovremennye voprosy veterinarii Respubliki Saha (Yakutiya): sbornik materialov nauchno-metodicheskoy konferencii fakul'teta veterinarnoy mediciny, posvyaschennoy 75-letiyu Pobedy v Velikoy Otechestvennoy voyne. Stavropol', 2020. S. 158-161.

6. Anisimova E. I., Katmakov P. S. Produktivnoe dolgoletie i pozhiznennaya produktivnost' simmental'skih korov Povolzh'ya // Agrarnaya Rossiya. 2020. № 10. S. 38-42. DOI:https://doi.org/10.30906/1999-5636-2020-10-38-42.

7. Ezhegodnik po plemennoy rabote v molochnom skotovodstve v hozyaystvah Rossiyskoy Federacii (2020 god). Moskva: FGBNU VNIIplem, 2021. 265 s.

8. Van Doormaal B. J., Schaeffer L. R., Kennedy B. W. Estimation of genetic parameters for stayability in Canadian Holsteins // Journal of Dairy Science. 1985. No. 68. Pp. 1763-1769. DOI:https://doi.org/10.3168/jds.S0022-0302(85)81025-0.

9. Fetrow J., Nordlund K. V., Norman H. D. Fetrow J. Invited review: Culling: nomenclature, definitions, and recommendations // Journal of Dairy Science. 2006. No. 89. Pp. 1896-1905. DOI:https://doi.org/10.3168/jds.S0022-0302(06)72257-3.

10. Doornewaard G. J., Reijs J. W., Beldman A. C. G., Jager J. H., Hoogeveen M. W. Sectorrapportage duurzame zuivelketen: Prestaties 2017 in perspectief. Wageningen: Wageningen Economic Research, 2018. 225 p.

11. Schuster J. C., Barkema H. W., De Vries A., Kelton D. F., Orsel K., Invited review: Academic and applied approach to evaluating longevity in dairy cows // Journal of Dairy Science. 2020. Vol. 103. Iss. 12. Pp. 11008-11024. DOI:https://doi.org/10.3168/jds.2020-19043.

12. Council on Dairy Cattle Breeding. Trend in productive life for Holstein or Red and White [e-resource]. URL:https://queries.uscdcb.com/eval/summary/trend.cfm?RMenu=HO.l#StartBody (date of reference: 15.05.2020).

13. Canadian Dairy Network. When do your cows pay back their debt? [e-resource]. URL: https://www.cdn.ca/document.php?id=527 (date of reference: 15.05.2020).

14. Shabalina T., Yin T., König S. Influence of common health disorders on the length of productive life and stayability in German Holstein cows // Journal of Dairy Science. 2020. No. 103. Pp. 583-596. DOI:https://doi.org/10.3168/jds.2019-16985.

15. Cassell B. G. Using heritability for genetic improvement. Publication 404-084. College of Agriculture and Life Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA. 2009. 4 p.

16. Miglior F., Fleming A., Malchiodi F., Brito L. F., Martin P., Baes C. F. A 100-year review: Identification and genetic selection of economically important traits in dairy cattle // Journal of Dairy Science. 2018. No. 100. Pp. 10251-10271. DOI:https://doi.org/10.3168/jds.2017-12968.

17. Lactanet. Herd management score - 2009 [e-resource]. URL: http://www.canwestdhi.com/Herd%20Reports/Annual/HrdMgmtScr.pdf (date of reference: 15.05.2020).

18. Coöperatie CRV. Bedrijven en koeien in cijfers [e-resource]. URL: https://www.cooperatie-crv.nl/downloads/stamboek/bedrijven-en-koeien-in-cijfers/ (date of reference: 15.05.2020).

19. Swedish Dairy Association. Husdjursstatistik (Cattle Statistics) [e-resource]. URL: https://www.vxa.se/fakta/styrning-och-rutiner/mer-om-mjolk (date of reference: 15.05.2020).

20. Hutchison J. L., Cole J. B., Bickhart D. M.. Short communication: Use of young bulls in the United States // Journal of Dairy Science. 2014. No. 97. Pp. 3213-3220. DOI:https://doi.org/10.3168/jds.2013-7525.

21. Dairy NZ. New Zealand dairy statistics 2017-2018 [e-resource]. URL: https://www.dairynz.co.nz/media/5790451/nz-dairy-statistics-2017-18.pdf (date of reference: 15.05.2020).

22. SEGES. Årsstatistik Avl 2019 [e-resource]. URL: https://www.landbrugsinfo.dk/Kvaeg/Avl/Avlsstatistik/Sider/aarsstat_2019.pdf?download=true (date of reference: 19.10.2020).

23. Introduction to BLUPF90 suite programs Standard Edition / Y. Masuda. University of Georgia, 2019. 199 p.

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