DOI QR코드

DOI QR Code

Estimation of Genetic Parameters for Milk Production Traits in Holstein Dairy Cattle

홀스타인의 유생산형질에 대한 유전모수 추정

  • Cho, Chungil (Animal Genetic Improvement Division, National Institute of Animal Science, R.D.A.) ;
  • Cho, Kwanghyeon (Animal Genetic Improvement Division, National Institute of Animal Science, R.D.A.) ;
  • Choy, Yunho (Animal Genetic Improvement Division, National Institute of Animal Science, R.D.A.) ;
  • Choi, Jaekwan (Animal Genetic Improvement Division, National Institute of Animal Science, R.D.A.) ;
  • Choi, Taejeong (Animal Genetic Improvement Division, National Institute of Animal Science, R.D.A.) ;
  • Park, Byoungho (Animal Genetic Improvement Division, National Institute of Animal Science, R.D.A.) ;
  • Lee, Seungsu (Animal Genetic Improvement Division, National Institute of Animal Science, R.D.A.)
  • Received : 2012.10.18
  • Accepted : 2013.02.07
  • Published : 2013.02.28

Abstract

The purpose of this study was to estimate (co) variance components of three milk production traits for genetic evaluation using a multiple lactation model. Each of the first five lactations was treated as different traits. For the parameter estimation study, a data set was set up including lactations from cows calved from 2001 to 2009. The total number of raw lactation records in first to fifth parities reached 1,416,589. At least 10 cows were required for each contemporary group, herd-year-season effect. Sires with fewer than 10 daughters were discarded. Lactations with 305d milk yield exceeding 15,000 kg were removed. In total, 1,456 sires of cows were remained after all the selection steps. A complete pedigree consisting of 292,382 records was used for the study. A sire model containing herd-year-season, caving age, and sire additive genetic effects was applied to the selected lactation data and pedigree for estimating (co) variance components via VCE. Heritabilities and genetic or residual correlations were then derived from the (co) variance estimates using R package. Genetic correlations between lactations ranged from 0.76 to 0.98 for milk yield, 0.79~1.00 for fat yield, 0.75~1.00 for protein yield. On individual lactation basis, relatively low heritability values were obtained 0.14~0.23, 0.13~0.20 and 0.14~0.19 for milk, fat, and protein yields, respectively. For the combined lactation heritability values were 0.29, 0.28, and 0.26 for milk, fat, and protein yields. The estimated parameters will be used in national genetic evaluations for production traits.

Keywords

Holestein;Genetic parameters;Milk production traits;Heritability

Acknowledgement

Supported by : National Institute of Animal Science

References

  1. 농협중앙회 젖소개량사업소. 2011. 2011년도 유우군 능력 검정 사업보고서.
  2. Amasaib, E. O., Abu Nikhaila, A. M., Fadel Elseed, A. N. M. A. and Mohamed, H. E. 2008. Effect of Season of Calving and Parity on Some Productive Traits in Pure and Crossbred Cattle in Sudan. Research Journal of Dairy Sciences. 2(1):5-8
  3. Asgari, G. H. 2011. Genetic parameters of milk and fat yield in normal and high yielding dairy cows. 2nd International Conference on Biotechnology and Food Science IPCBEE vol.7
  4. Bulmer, M. G. 1971. The effect of selection on genetic variability. Am. Nat., 105:201-211. https://doi.org/10.1086/282718
  5. Carabano, M. J., Van Vleck, L. Dale, Wiggans, G. R. and Alenda, R. 1989. Estimation of Genetic Parameters for Milk and Fat Yields of Dairy Cattle in Spain and the United States. Faculty Papers and Publications in Animal Science. Paper 131.
  6. Dong, M. G., Van Vleck, L. D. and Wiggans, G. R. 1998. Effects of relationship on estimation of variance component with an animal model and restricted maximum likelihood. J. Dairy Sci., 71:3047-3052.
  7. Kovacs, M. A. and Groeneveld, E. VCE-5 User's Guide and Reference Manual, Version 5.1. Mariensee, Germany: Institute of Animal Husbandry and Animal Behaviour, Federal Research Center of Agriculture; 2003. p. 68.
  8. Lee, D. H., Oh Sang and Whitley, N. C. 2010. Study on Genetic Evaluation for Linear Type Traits in Holstein Cows. Asian-Aust. J. Anim. Sci. 23(1):1-6.
  9. Muir, B. L., Kistemaker, G., Jamrozik, J. and Canavesi, F. 2007. Genetic Parameters for a Multiple-Trait Multiple-Lactation Random Regression Test-Day Model in Italian Holsteins. J. Dairy Sci. 90:1564-1574. https://doi.org/10.3168/jds.S0022-0302(07)71642-9
  10. SAS User's Guide : Statistics, Ver 9.1 Edition. 1999. SAS Inst., Inc., Cary, NC
  11. Zavadilova, L., Jamrozik, J. and Schaeffer, L. R. 2005. Genetic parameters for test-day model with random regressions for production traits of Czech Holstein cattle. Czech J. Anim. Sci., 50(4):142-154.
  12. Interbull. 2012. Description of national genetic evaluation systems for dairy cattle traits as practised in different Interbull member countries. http://www-interbull.slu.se/national_ges_info2/framesida-ges.htm. Accessed Sep. 3, 2012.

Cited by

  1. Genome-association analysis of Korean Holstein milk traits using genomic estimated breeding value vol.30, pp.3, 2015, https://doi.org/10.5713/ajas.15.0608