Advanced SearchSearch Tips
Variance Component Estimates with Dominance Models for Milk Production in Holsteins of Japan Using Method R
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Variance Component Estimates with Dominance Models for Milk Production in Holsteins of Japan Using Method R
Kawahara, Takayoshi; Gotoh, Yusaku; Yamaguchi, Satoshi; Suzuki, Mitsuyoshi;
  PDF(new window)
Fractions of herd-year-season, sire by herd interaction, additive genetic and dominance genetic variances were estimated for milk production traits in Holsteins of Japan using Method R. Inbreeding depressions for milk production traits were also estimated. Estimated fractions of herd-year-season variances ranged from 0.056 to 0.074 for yield traits and from 0.033 to 0.035 for content traits. Estimated fractions of additive genetic variances to phenotypic variances (heritabilities across a herd in the narrow sense) were 0.306, 0.287, 0.273, 0.255, 0.723, 0.697 and 0.663 for milk, fat, SNF and protein yields, and fat, SNF and protein contents, respectively. Estimated fractions of dominance genetic variances ranged from 0.019 to 0.022 for yield traits and from 0.014 to 0.018 for content traits. Fractions of variances for sire by herd interaction were estimated to range from 0.020 to 0.025 for yield traits and 0.011 to 0.012 for content traits. Estimates of inbreeding depression for milk, fat, SNF and protein yields were -36.16 kg, -1.42 kg, -3.24 kg and -1.15 kg per 1% inbreeding for milk, fat, SNF and protein yields, respectively. Estimates of depression per 1% inbreeding for content traits were positive at , and for fat, SNF and protein contents, respectively.
Method R;Additive Variance;Dominance Variance;Sire by Herd Interaction;Inbreeding Depression;Milk Production;Holstein;
 Cited by
Effects of heat stress on production, somatic cell score and conception rate in Holsteins, Animal Science Journal, 2017, 88, 1, 3  crossref(new windwow)
Boichard, D. and J. Lee. 1992. Approximate accuracy of genetic evaluation under a single-trait animal model. J. Dairy Sci. 75:868-877

Dimov, G., L. G. Albuquerque, J. F. Keown, L. D. Van Vleck and H. D. Norman. 1995. Variance of interaction effects of sire and herd for yield traits of Holsteins in California, New York, and Pennsylvania with an animal model. J. Dairy Sci. 78:939-946

Henderson, C. R. 1973. Sire evaluation and genetic trends. Proceeding of Animal Breeding Genetics Symposium in Honor of J. L. Lush. American Society of Animal Science, American Dairy Science Association, Champaign, IL

Hoeschele, I. and P. M. VanRaden. 1991. Rapid inversion of dominance relationship matrices for noninbred populations by including sire by dam subclass effects. J. Dairy Sci. 74:557- 569

Hofer, A. 1998. Variance component estimation in animal breeding: a review. J. Anim. Breed. Genet. 115:247-265

Kawahara, T., Y. Gotoh, K. Hagiya, M. Suzuki and M. Sogabe. 2002. Calculation of inbreeding coefficients using incomplete pedigrees and its influence on inbreeding depression and breeding value for milk production in Hokkaido Holstein populations of Japan. Nihon Chikusan Gakkaiho 73:249-259 crossref(new window)

Meyer, K. 1987. Estimates of variances due to sire${\times}$herd interactions and environmental covariances between paternal half-sibs for first lactation dairy production. Livest. Prod. Sci. 17:95-115 crossref(new window)

Miglior, F., E. B. Burnside and B. W. Kennedy. 1995. Production traits of Holstein cattle: Estimation of nonadditive genetic variance components and inbreeding depression. J. Dairy Sci. 78:1174-1180

Misztal, I. 1997. Estimation of Variance components with largescale dominance models. J. Dairy Sci. 80:965-974

Misztal, I. and T. J. Lawlor. 1999. Supply of genetic information - amount, format, and frequency. J. Dairy Sci. 82:1052-1060

National Livestock Breeding Center. 2003. Bulletin of the dairy sire and cow evaluation, Vol 23. National Livestock Breeding Center, Japan

Pereira, J. A. C., M. Suzuki, K. Hagiya, T. Yoshizawa, S. Tsuruta and I. Misztal. 2001. Method R estimates of heritability and repeatability for milk, fat and protein yields of Japanese Holstein. Anim. Sci. J. (Jpn.) 72:372-377

Reverter, A., B. L. Golden, R. M. Bourdon and J. S. Brinks. 1994. Method R variance components procedure: Application on the simple breeding value model. J. Anim. Sci. 72:2247-2253

Schaeffer, L. R., M. Calus and X. Liu. 2001. Genetic evaluation of conformation traits using random contemporary groups and reducing the influence of parent averages. Livest. Prod. Sci. 69:129-137 crossref(new window)

Schaeffer, L. R. and B. W. Kennedy. 1986. Computing strategies for solving mixed model equations. J. Dairy Sci. 69:575-579

Short, T. H. and T. J. Lawlor. 1992. Inbreeding in the U.S. Holsteins and its effect on yield and type traits. J. Dairy Sci. 75(Supp. 1): 54(Abstr.)

Suzuki, M., K. Kuchida and Y. Saito. 1997. Multiple trait REML estimates of genetic parameters for Holstein cows for milk component yields and their log-transformations using a repeatability model. Anim. Sci. Technol. (Jpn.) 68:615-621

Suzuki, M. and L. D. Van Vleck. 1994. Heritability and repeatability for milk production traits of Japanese Holsteins from an animal model. J. Dairy Sci. 77:583-588

Tempelman, R. J. and E. B. Burnside. 1990. Additive and nonadditive genetic variation for production traits in Canadian Holsteins. J. Dairy Sci. 73:2206-2213

VanRaden, P. M. 1992. Accounting for inbreeding and crossbreeding in genetic evaluation of large populations. J. Dairy Sci. 75:3136-3144

VanRaden, P. M., T. J. Lawlor, T. H. Short and I. Hoeschele. 1992. Use of reproductive technology to estimate variances and predict effects of gene interactions. J. Dairy Sci. 75:2892-2901

VanRaden, P. M. and G. R. Wiggans. 1991. Deviation, calculation, and use of national animal model information. J. Dairy Sci. 74:2737-2746

Van Tassell, C. P., I. Misztal and L. Varona. 2000. Method R estimates of additive genetic, dominance genetic, and permanent environmental fraction of variance for yield and health traits of Holsteins. J. Dairy Sci. 83:1873-1877

Van Vleck, L. D. 1987. Contemporary groups for genetic evaluations. In: Genetic Research 1986-1987 Report, pp. 98-122. Eastern Artificial Insemination Cooperative, Inc., New York, USA

Wada, Y., A. Takebe, S. Matsumoto and K. Yokouchi. 1991. Effects of interaction between sire and region on sire evaluation of Holstein bulls in Japan. Anim. Sci. Technol. (Jpn.) 62:63-68

Weigel, K. A. and D. Gianola. 1993. A computationally simple Bayesian method for estimation of heterogeneous within-herd phenotypic variances. J. Dairy Sci. 76:1455-1465

Wiggans, G. R., P. M. VanRaden and J. Zuurbier. 1995. Calculation and use of inbreeding coefficients for genetic evaluation of United States dairy cattle. J. Dairy Sci. 78:1584-1590