(Co)variance Components for Birth and Weaning Weights of Shorthorn Beef Cattle in Australia and the United States

Authors

  • Kecha KUHA Division of Animal Science, Rajamangala University of Technology Lanna, Nan Campus, Nan, 55000
  • Hans-ULRICH GRASER The Animal Genetic and Breeding Unit, University of New England, Armidale, New South Wales, 2351
  • Sornthep TUMWASORN Department of Animal Science, Kasetsart University, Bangkok, 10900
  • David JOHNSTON The Animal Genetic and Breeding Unit, University of New England, Armidale, New South Wales, 2351

Keywords:

Genetic parameters, Growth traits, Likelihood ratio test, Shorthorn

Abstract

(Co)variance components and genetic parameters for birth (BW) and weaning weights (WW) of Shorthorn beef cattle in Australia (AU) and the United States (US) were estimated using Restricted Maximum Likelihood. Five different uni- and bivariate models were used to fit both traits within each country. In Model 1, only a direct genetic effect (a) was fitted. In Models 2 and 3, a maternal genetic effect (m) was added. A genetic covariance between direct-maternal effects [cov(a, m)] was ignored (model 2) or included (model 3). Models 4 and 5 both m and maternal permanent environment effects (pe), were allowed from model 1, and assumed cov(a,m) in the same manner as model 2 and 3, respectively. When ignoring m effect, the direct heritability estimates were inflated and differed markedly from other models. The likelihood ratio test showed that model 5 was the best fit for both traits in the US while models 2 and 4 were the fittest for BW and WW in AU, respectively. The estimates of direct, maternal, total heritabilities, and maternal permanent environment variance of the full model in AU and in the US (in parentheses) were 0.46 (0.48), 0.09 (0.05), 0.42 (0.42) and 0.00 (0.06) for BW, and 0.23 (0.32), 0.16 (0.09), 0.24 (0.26) and 0.13 (0.10) for WW, respectively. After m and pe were fitted, the estimate of total heritability decreased slightly for BW in both countries and for WW in AU, but decreased re-markedly for WW in the US. Estimate of direct-maternal genetic correlation was moderately negative and tended to be more negative after pe was fitted for both traits in the US. The parameters estimates using bivariate analysis were not different to the results from univariate analysis. This analysis yielded additive and maternal genetics correlations between BW and WW. These estimates were positive and medium to high correlation, which were higher in AU than in the US. Correlation of estimated breeding values for direct additive and maternal genetics between the full model and others were high and close to unity. The differences of some parameters between both countries indicate that joint genetic evaluation might require genotype by environment interaction to be considered.

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References

Willham RL. The role of maternal effects in animal breeding: III. Biometrical aspects of maternal effects in animals. J Anim Sci 1972; 35: 1288-93.

Meyer K. Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livest Prod Sci 1992; 31: 179-204.

Thompson R. The estimation of maternal genetic variances. Biometrics. 1976; 32 : 903-17.

Koch RM. The role of maternal effects in animal breeding: VI. Maternal effects in beef cattle. Anim Breed Abstr 1972; 35: 1361-3.

Ferreira GB MacNeil MD Van Vleck LD. Variance components and breeding values for growth traits from different statistical models. J Anim Sci 1999; 77: 2641-50.

de Mattos D Misztal I Bertrand JK. Variance and covariance components for weaning weight for Herefords in three countries. J Anim Sci 2000; 78: 33-7.

Gilmour AR Cullis BR Welham SJ Thomson R. ASReml Reference Manual. NSW Agriculture, Orange, Australia, 2002.

Falconer DS Mackay C. Introduction to Quantitative Genetics. 4th Ed. Longman Group Ltd., London. 1996; 464 p.

Willham RL. Problems in estimating maternal effects. Livest Prod Sci 1980; 7: 405-18.

Kleinbaum DG Kupper LL Muller KE Nizam A. Applied Regression Analysis and Multivariable Methods. 3rd Ed. Duxbury Press, CA, 1998; 798 p.

Dodenhoff J Van Vleck LD Kachman SD Koch RM. Parameter estimates for direct, maternal, and grandmaternal genetic effects for birth weight and weaning weight in Hereford cattle. J Anim Sci 1998; 76: 2521–7.

Dodenhoff J Van Vleck LD Wilson DE. Comparison of models to estimate genetic effects for weaning weight of Angus cattle. J Anim Sci 1999; 77: 3176–84.

Duangjinda M Bertrand JK Misztal I Druet T. Estimation of additive and nonadditive genetic variances in Hereford, Gelbvieh, and Charolais by Method R. J Anim Sci 2001; 79: 2997–3001.

Meyer K. Estimates of genetic parameters and breeding values for New Zealand and Australian Angus cattle. Aust J Agric Res 1995; 48: 1-5.

Robinson DL. Models which might explain negative correlations between direct and maternal genetic effects. Livest Prod Sci 1996; 45: 111-22.

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Published

2011-12-10

How to Cite

KUHA, K., GRASER, H.-U., TUMWASORN, S., & JOHNSTON, D. (2011). (Co)variance Components for Birth and Weaning Weights of Shorthorn Beef Cattle in Australia and the United States. Walailak Journal of Science and Technology (WJST), 1(2), 11–24. Retrieved from https://wjst.wu.ac.th/index.php/wjst/article/view/182

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Research Article