FORECAST OF THE BREEDING VALUE OF THE PROGENY IN THE POPULATION OF CATTLE BASED ON THE RESULTS OF GENOMIC EVALUATION OF PARENTS
УДК: 636.2.082.22 DOI: 10.31588/2413_4201_1883_3_259_100
Keywords:
dairy cattle, genomic evaluation, breeding value, genetic potential, parents meeting, prognosisAbstract
When assessing the relationship of the traits predicted by the genomic assessment of parents with the actual results of offspring genotyping, a high and average positive correlation level was noted. The highest value of the coefficient was found in the lifetime profit index (LPI). It was also found that with a deviation from the actual value of 0.5%, it is possible to predict the average value of LPIs for offspring. For other indicators of productivity, health and fertility, the accuracy ranged from 0.9% to 16%. The difference in the genetic potential of the parents' traits does not significantly affect the accuracy of the forecast. The minimum number of parent pairs at which such forecast accuracy will be maintained is 357. At the same time, significant standard deviations and confidence intervals of the difference between calculated and actual values limit the ability to predict the breeding value of offspring in a particular parent pair.
References
Баженова, И. Ю. Влияние геномной оценки быков-производителей на продуктивные качества их дочерей / И. Ю. Баженова // Молодежь и наука. -- 2019. -- №. 4. -- С. 22-22.
Лысенко, Ю. А. Геномная селекция – настоящее и будущее животноводства / Ю. А. Лысенко // Эффективное животноводство. -- 2021. -- № 5. -- С. 78-86.
Тележенко, Е. В. Влияние геномной селекции на стратегию развития племенного молочного животноводства / Е. В. Тележенко // Молочное и мясное скотоводство. -- 2016. -- № 3. -- С. 3-6.
Are evaluations on young genotyped animals benefiting from the past generations? / D. A. L. Lourenco, I. Misztal, S. Tsuruta (et al.) // Journal of Dairy Science. -- 2014. -- V. 97. -- № 6. -- P. 3930-3942.
Chebel, R. C. Reproductive systems for North American dairy cattle herds/ R. C. Chebel, E. S Ribeiro // Veterinary Clinics: Food Animal Practice. -- 2016. -- V. 32. -- № 2. -- P. 267–284.
Genetic evaluation of fertility traits of dairy cattle using a multiple–trait animal model / Z. Liu, J. Jaitner, E. Pasman [et al.] // Journal of dairy science. -- 2008. -- V. 91. -- № 11. -- P. 4333-4343.
Ibanez–Escriche, N. From the editors: animal breeding in the genomics era / N. Ibanez–Escriche, H. Simianer // Animal Frontiers. -- 2016. -- V. 6. -- № 1. -- P. 4-5.
Nicolazzi, E. L. Genomics in the US dairy industry: current and future challenges / E. L. Nicolazzi, J. Durr, G. Wiggans // Interbull bulletin. -- 2018. -- № 53.
Reliability of genomic evaluation of Holstein cattle in Canada / F.S. Schenkel, M. Sargolzaei, G. Kistemaker (et al.) // Interbull Bulletin. -- 2009. -- № 39. -- P. 51-51.
Single–step genomic evaluations from theory to practice: using SNP chips and sequence data in BLUPF90 / D. Lourenco, A. Legarra, S. Tsuruta [et al.] // Genes. -- 2020. -- V. 11. -- № 7. -- P. 790.
VanRaden, P. M. International genomic evaluation methods for dairy cattle / P. M. VanRaden, P. G. Sullivan // Genetics Selection Evolution. -- 2010. -- V. 42. -- № 1. -- P. 1-9.
Wiggans, G. R. Genomic selection in United States dairy cattle / G. R. Wiggans, J. A Carrillo // Frontiers in Genetics. -- 2022. -- V. 13. -- P. 9944-9966.
Zaabza, H. B. Genetic analysis of milk production traits of Tunisian Holsteins using random regression test–day model with Legendre polynomials / H. B. Zaabza, A. B. Gara, B. Rekik // Asian–Australasian journal of animal sciences. -- 2018. -- V. 31. -- № 5. -- P. 636.
Bazhenova, I. Yu. Influence of genomic evaluation of sires on the productive qualities of their daughters / I. Yu. Bazhenova // Youth and Science. -- 2019. -- No. 4. -- P. 22-22.
Lysenko, Yu. A. Genomic selection - present and future of animal husbandry / Yu. A. Lysenko // Effective Animal Husbandry. -- 2021. -- No. 5. -- P. 78-86.
Telezhenko, E. V. Influence of genomic selection on the strategy for the development of pedigree dairy cattle breeding / E. V. Telezhenko // Dairy and Beef Cattle Breeding. -- 2016. -- No. 3. -- P. 3-6.
Are evaluations on young genotyped animals benefiting from the past generations? / D. A. L. Lourenco, I. Misztal, S. Tsuruta (et al.) // Journal of Dairy Science. -- 2014. -- V. 97. -- No. 6. -- P. 3930-3942.
Chebel, R. C. Reproductive systems for North American dairy cattle herds/ R. C. Chebel, E. S Ribeiro // Veterinary Clinics: Food Animal Practice. -- 2016. -- V. 32. -- No. 2. -- P. 267–284.
Genetic evaluation of fertility traits of dairy cattle using a multiple–trait animal model / Z. Liu, J. Jaitner, E. Pasman [et al.] // Journal of dairy science. -- 2008. -- V. 91. -- No. 11. -- P. 4333-4343.
Ibanez–Escriche, N. From the editors: animal breeding in the genomics era / N. Ibanez–Escriche, H. Simianer // Animal Frontiers. -- 2016. -- V. 6. -- No. 1. -- P. 4-5.
Nicolazzi, E. L. Genomics in the US dairy industry: current and future challenges / E. L. Nicolazzi, J. Durr, G. Wiggans // Interbull bulletin. -- 2018. -- No. 53.
Reliability of genomic evaluation of Holstein cattle in Canada / F.S. Schenkel, M. Sargolzaei, G. Kistemaker (et al.) // Interbull Bulletin. -- 2009. -- No. 39. -- P. 51-51.
Single–step genomic evaluations from theory to practice: using SNP chips and sequence data in BLUPF90 / D. Lourenco, A. Legarra, S. Tsuruta [et al.] // Genes. -- 2020. -- V. 11. -- No. 7. -- P. 790.
VanRaden, P. M. International genomic evaluation methods for dairy cattle / P. M. VanRaden, P. G. Sullivan // Genetics Selection Evolution. -- 2010. -- V. 42. -- No. 1. -- P. 1-9.
Wiggans, G. R. Genomic selection in United States dairy cattle / G. R. Wiggans, J. A Carrillo // Frontiers in Genetics. -- 2022. -- V. 13. -- P. 9944-9966.
Zaabza, H. B. Genetic analysis of milk production traits of Tunisian Holsteins using random regression test–day model with Legendre polynomials / H. B. Zaabza, A. B. Gara, B. Rekik // Asian–Australasian journal of animal sciences. -- 2018. -- V. 31. -- No. 5. -- P. 636.