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Bìol. Tvarin, 2017, Volume 19, Issue 1, pp. 44–53

EVALUATION OF BREEDING VALUES OF SIRES AND COWS IN DAIRY BREEDS

V. O. Danshin1, S. Y. Ruban2, V. Y. Afanasenko3

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1Institute of animal science NAAS,
v. Kulynychi, Kharkiv district, Kharkiv region, 62404, Ukraine

2M. V. Zubets Institute of animal breeding and genetics NAAS,
1 Pogrebniaka str., Chubynske village, Boryspil disrict, Kyiv region, 08321, Ukraine

3National University of life and environmental sciences of Ukraine,
15 Heroyiv Oborony str., Kyiv 03041, Ukraine

The article is devoted to questions of evaluation of breeding values of sires and cows in modern dairy cattle. The most appropriate for the conditions of the Ukraine model of evaluation of dairy and dual-purpose sires with BLUP Animal Model has been developed. Estimates of genetic parameters shows a possibility of successful breeding work for milk production traits as well as reproduction and productive longevity. Values of genetic correlations between economically important traits point out to necessity of including reproduction and productive longevity traits into selection index used to select sires.

The obtained genetics trends give evidence that since 2007 the tendency of increase of genetic potential of Ukrainian Black-and-White and, to some extent, Holstein breeds in dairy productivity is observed, while for Ukrainian Red-and-White breed there is inverse tendency. Withal in Ukrainian Black-and-White dairy breed during this period the stable genetically grounded decrease of level of reproduction is observed, while in Holstein and Red-and-White breeds this trait stays at approximately the same level and in Ukrainian Red-and-White dairy breed there is some genetically grounded decrease of calving interval. As to productive longevity since 2004 in Holstein and since 2007 in Ukrainian Red-and-White and Red dairy breeds there is positive tendency of increase of this trait while in Black-and-White breed after increase of productive longevity prior to 2006–2009 period decrease of this trait occurred.

Keywords: DAIRY CATTLE, BREEDING VALUE, BLUP, ANIMAL MODEL, GENETIC TREND

1. McDaniel B. T. Selection: concepts. In: Encyclopedia of dairy sciences. 2nd edition. Elsevier Ltd., 2011, pp. 646–678.
2. Henderson C. R. Sire evaluation method which accounts for unknown genetic and environmental trends, herd differences, seasons, age effects, and differential culling. Proc. National Tech. Syrup. on Estimating Breeding Values of Dairy Sires and Cows, Washington, DC, 1966, 12 p.
3. Everett R. W. and Keown J. F. Mixed model sire evaluation with dairy cattle — experience and genetic gain. J. Anim. Sci., 1984, vol. 59, pp. 529–541. https://doi.org/10.2527/jas1984.592529x
4. Henderson C. R. Sire evaluation and genetic trends. Proc. of the Anim. Breeding and Genetics Symp. in Honor of Dr. J. L. Lush, A.S.A.S. and A.D.S.A., Champaign, IL, 1973, pp. 10–41. https://doi.org/10.1093/ansci/1973.Symposium.10
5. Henderson C. R. General flexibility of linear model techniques for sire evaluation. J. Dairy Sci., 1974, vol. 57, pp. 963–972. https://doi.org/10.3168/jds.S0022-0302(74)84993-3
6. Henderson C. R. Rapid method for computing the inverse of a relationship matrix. J. Dairy Sci., 1975, vol. 58, pp. 1727–1730. https://doi.org/10.3168/jds.S0022-0302(75)84776-X
7. Henderson C. R. A simple method for computing the inverse of a numerator relationship matrix used in prediction of breeding values. Biometrics, 1976, vol. 32, pp. 69–83. https://doi.org/10.2307/2529339
8. Danshin V. A. Evaluation of genetic value of animals. Kyiv, Agrarna Nauka, 2008, 179 p. (in Russian)
9. Ruban S., Danshin V., Fedota O. World experience and perspectives of genomic selection in dairy cattle. The Animal Biology, 2016, vol. 18, no. 1, pp. 117–125. (in Ukrainian)
10. Ducrocq V., Wiggans G. Genetic improvement in dairy cattle. In: The genetics of cattle. 2nd ed. Ed. by D. J. Garrick, A. Ruvinsky. CABI International, 2015, pp. 371–396. https://doi.org/10.1079/9781780642215.0371
11. VanRaden P. M. Efficient methods to compute genomic predictions. J. Dairy Sci., 2008, vol. 91, pp. 4414–4423. https://doi.org/10.3168/jds.2007-0980
12. Legarra A., Christensen O. F., Aguilar I., Misztal I. Single Step, a general approach for genomic selection. Livest. Sci., 2014, vol. 166, pp. 54–65. https://doi.org/10.1016/j.livsci.2014.04.029
13. Garrick D. J., Fernando R. Genomic prediction and genome-wide association studies in beef and dairy cattle. In: The genetics of cattle. 2nd ed. Ed. by D. J. Garrick, A. Ruvinsky. CABI International, 2015, pp. 474–501. https://doi.org/10.1079/9781780642215.0474
14. VanRaden P. M., Wiggans G. R. Derivation, calculation, and use of national Animal Model Information. J. Dairy Sci., 1991, vol. 74, pp. 2737–2746. https://doi.org/10.3168/jds.S0022-0302(91)78453-1
15. Description of national genetic evaluation systems, United States of America. Production (milk, fat, protein). Interbull Code of Practice. Status as of., 2014-09-02, 5 p.
17. Wiggans G. R. Overview of the Dairy Genetic Evaluation System. Croatian Holstein Breeders Federation, 2009, 33 p.
18. Misztal I., Tsuruta Sh., Laurenco D., Aguilar I., Legarra A., Vitezica Z. Manual for BLUPF90 family of programs. University of Georgia, Athens, USA, 2015, 125 p.

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