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Significance of breeding value indicators for prediction of milk yield

A comparative assessment of the significance of various indicators of the breeding value of breeding bulls for predicting milk yield in the highly productive herd of the farm economy "Alfa" was carried out. The milk yield of cows, whose bulls-fathers were evaluated in Ukraine and abroad, was studied. It was established that in the period from 2009 to 2014, the milk yield of first-calf heifers increased by 23.9 % and reached 5894.3 kg. Accordingly, during the specified period, most of the quantitative indicators of the breeding value and milk productivity of the bulls' daughters also increased: the breeding value of the parent bulls in terms of milk yield increased from +245.3 kg in 2009 to +540.4 kg in 2014; the breeding value of parent bulls in terms of the total amount of milk fat per lactation increased from +10.2 kg to +29.7 kg. A correlation analysis of the relationships between various indicators of breeding value of parent bulls and the milk yield of their daughters was carried out. It was established that the actual milk yield of first-calf heifers in FE "Alfa" most (correlation coefficients r higher than 0.8) and most significantly (p<0.001) depended on the average milk yield and amount of milk fat yield of bull's daughters in the herds where the breeding value of these bulls was evaluated. The breeding value of the sire bulls by the amount of milk fat yield was also characterized by high (r=0.675) and significant (p<0.01) relationship with the actual milk yield of the first-calf heifers (daughters of these sires). The variance analysis of the influence of the breeding value estimation method of breeder bulls (BV, ETA, ZW, DRV, RPC) on the actual milk yield of their daughters during the first lactation established that this influence was significant (p=0.001), and the power of influence was η2=0,59. Significant differences were mostly observed between milk yields of first-calf heifers whose parent bulls were evaluated abroad and in Ukraine. The biggest difference in terms of actual milk yield was revealed between the daughters of bulls evaluated by the ETA method (Canada) and by the "daughter-of-the-same-age (DRV)" method (Ukraine). This difference was 2640 kg of milk (p<0.01) in favor of firstcalf heifers from Canadian bulls.

Key words: breeding bulls, breeding value, milk productivity, daughters of bulls, milk yield, selection index, evaluation method.

  1. Polupan, Ju.P., Gladij, M.V., Pryjma, S.V., Germanchuk, S.G., Basovs'kyj, D.M., Sydorenko, O.V., Romanova, O.V. (2022). Catalog of bulls of dairy and milk-meat breeds for reproduction of the brood stock in 2022. Kyiv, 446 p. Available at:https://minagro.gov.ua/storage/app/uploads/public/ 620/4c0/db9/6204c0db9527c093809593.pdf (in Ukrainian)
  2. Sen, O., Ruban, S., Getya, A., Nesterov, Y. (2014). Current state and future outlook for development of the milk and beef sectors in Ukraine. Cattle husbandry in Eastern Europe and China, EAAP publication. no. 135, pp. 169–179. DOI:10.3920/978-90-8686-785-1_13
  3. Majboroda, M. M., Germanchuk, S. G., Polupan, Ju. P., Basovs'kyj, D. M. (2019). Methodology for calculating the breeding value of bulls, cows and young animals and their selection according to breeding indices. Chubinske, 20 p. Available at:http://digest.iabg.org.ua/images/digest/ 2019/051219.pdf (in Ukrainian)
  4. Bashchenko, M.I., Polupan, Yu. P., Reznikova, N. L., Bazishina, I. V. (2016). Methods of evaluating the value of genetic resources of animals. Herald of Agrarian Science, no. 12, pp. 5–10. DOI:10.31073/agrovisnyk201612-01 (in Ukrainian)
  5. Description of national genetic evaluation systems, United States of America. Production (milk, fat, protein) (2014). Interbull Code of Practice. Status as of. 2014-09-02, 5 p.
  6. Hazel, L.N. (1943). The genetic basis for constructing selection index. Genetics, no. 6, pp. 476–490.
  7. Van der Linde, R. (2003). Distinct variations in total merit indexes. Veepro Magazine, Vol. 51, 9 p.
  8. Danshyn, V.O., Ruban, S.Ju., Afanasenko, V.Ju. (2017). Evaluation of breeding value of breeding bulls and dairy cows. Biology of animals. Vol. 19, no. 1, pp. 44–53. Available at:http://nbuv.gov.ua/ UJRN/bitv_2017_ 19_1_8. (in Ukrainian)
  9. VanRaden, P.M. (2004). Invited Review: Selection on Net Merit to Improve Lifetime Profit. J. Dairy Sci., Vol. 87 (10), pp. 3125–3131. DOI:10.3168/jds.s0022-0302(04)73447-5
  10. Danshyn, V.O., Ruban, S.Ju., Fedota, O.M., Mitioglo, L.M., Borshh, O.O. (2016). Estimation of the breeding value of breeding bulls of dairy breeds. Technology of production and processing of animal husbandry products. no. 2. Available at:https://tvppt.btsau.edu.ua/sites/all/modules/pubdlcnt/ pubdlcnt.php?fid=326 (in Ukrainian)
  11. Boettcher, P.J., Van Doormaal, Brian. (2012). Tools for selection for functional traits in Canada. Accessed. Available at:http://www.cdn.ca/document.php?id=72.
  12. Your Index. Your Animal Evaluation System. (2012). Online. Available at:lic.co.nz/pdf/ yourindex. pdf. Accessed Apr, 2012, 37 p.
  13. Faid-Allah, E. (2018). Estimating breeding values for milk production and mastitis traits for Holstein cattle in Egypt. JITV, no. 23(4), pp. 159–167. DOI:10.14334/jitv.v23i4.1845
  14. Baranova, N.S., Velichko, I.I. (2013). The use of selection indices in the complex assessment of bull producers of the Kostroma breed. Modern problems of science and education. no. 2, pp. 3–8. (in Ukrainian)
  15. Bengtsson, C., Stålhammar, H., Strandberg, E., Eriksson, S., Fikse, W.F. (2020). Association of genomically enhanced and parent average breeding values with cow performance in Nordic dairy cattle. Journal of Dairy Science, Vol. 103, Issue 7, pp. 6383–6391. DOI:10.3168/jds.2019-17963
  16. Shablya, V., Synytska, O. (2014). Breeding index of lifetime profit of breeding bulls of dairy breeds. Animal husbandry of Ukraine. no. 3–4, pp. 36–39. (in Ukrainian)
  17. Ruban S.Yu., Danshin V.O., Fedota O.M. (2016). World experience and prospects of using genomic selection in dairy cattle breeding. Biology of animals. Vol. 18, no. 1, pp. 117–125. (in Ukrainian)
  18. Legarra, A., Christensen, O.F., Aguilar, I., Misztal, I. (2014). Single Step, a general approach for genomic selection. Livest. Sci. Vol. 166, pp. 54–65.
  19. Shablia, V.P. (2018). Comparative assessment of feed preparation technologies for Ukrainian breeds of dairy cows. Boletim de Indústria Animal. Instituto de Zootecnia, Nova Odessa, Brasil. Vol. 75, pp. 1–10. DOI:10.17523/bia.2018.v75.e1424
  20. Ruban, S.Y., Perekrestova, A.V., Shablia, V.P., Bochkov, V.M. (2018). Feed conversion efficiency in different groups of dairy cows. Ukrainian Journal of Ecology, Vol. 8, pp. 124–129. DOI:10.15421/2018_196 (in Ukrainian)
  21. Ducrocq, V., Wiggans, G. (2015). Genetic improvement in dairy cattle. The genetics of cattle. 2nd ed. Edited by D. J. Garrick and A. Ruvinsky. CABI International, pp. 371–396.
  22. Danets, L.M., Tkachova, I.V., Shablya, V.P. (2020). The influence of live weight during rearing on the duration of productive use of Ukrainian black-spotted dairy cows of different bloodlines according to the Holstein breed. Animal husbandry and food technologies. Vol. 11, no. 2. pp. 16–27.
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