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Estimation of Genetic Parameters for Body Weight in Chinese Simmental Cattle Using Random Regression Model

  • Yang, R.Q. (School of Agriculture and Biology, Shanghai Jiaotong University) ;
  • Ren, H.Y. (Institute of Animal Science, Chinese Academy of Agricultural Science) ;
  • Xu, S.Z. (Institute of Animal Science, Chinese Academy of Agricultural Science) ;
  • Pan, Y.C. (School of Agriculture and Biology, Shanghai Jiaotong University)
  • Received : 2003.05.09
  • Accepted : 2004.04.10
  • Published : 2004.07.01

Abstract

The random regression model methodology was applied into the estimation of genetic parameters for body weights in Chinese Simmental cattle to replace the traditional multiple trait models. The variance components were estimated using Gibbs sampling procedure on Bayesion theory. The data were extracted for Chinese Simmental cattle born during 1980 to 2000 from 6 national breeding farms, where records from 3 months to 36 months were only used in this study. A 3 orders Legendre polynomial was defined as the submodel to describe the general law of that body weight changing with months of age in population. The heritabilities of body weights from 3 months to 36 months varied between 0.31 and 0.48, where the heritabilities from 3 months to 12 months slightly decreased with months of age but ones from 13 months to 36 months increased with months of age. Specially, the heritabilities at eighteenth and twenty-fourth month of age were 0.33 and 0.36, respectively, which were slightly greater than 0.30 and 0.31 from multiple trait models. In addition, the genetic and phenotypic correlations between body weights at different month ages were also obtained using regression model.

Keywords

Body Weight;Random Regression Model;Genetic Parameter;Chinese Simmental

References

  1. Crowder, M. J. and D. A. Hand. 1991. Analysis of repeated measures. Cheapman and Hall, New York.
  2. Misztal, I., T. Strabel, Jamrozik, J. E. A. Mantysaari and T. H. Meuwissen. 2000. Strategies for estimating the parameters needed for different test day models. J. Dairy Sci. 83:1125-1134.
  3. W. Z. liu, G. Q. Cao, Z. X. Zhou and G. X. Zhang. 2002. Estimation of genetic and phenotypic covariance function for body weight as longitudinal data of SD-II swine line. Asian-Aust. J. Anim. Sci. 15(5):622-626.
  4. Schaeffer, L. R. and J. C. M. Dekkers. 1994. Random regressions in animal models for test-day production in dairy cattle. Proc. 5thWCGALP, Guelph. Vol. 18:443.
  5. Sorensen, D. A., S. Anderson and D. Gianola and I. Korsgaard. 1995. Bayesian and inference in threshold models using Gibbs sampling. Genet. Sel. Evol. 27:229-249.
  6. Meyer, K. 2000. Random regressions to model phenotypic variation in monthly weights of Australian beef cows. Livest. Prod. Sci. 65:19-38.
  7. Jamrozik, J. and L. R. Schaeffer. 1997b. Estimates of genetic parameters for a test day model with random regressions for production of first lactation Holsteins. J. Dairy Sci. 80:762-770.
  8. H. Y. Ren. 2001. Genetic evaluation for economic traits in Chinese Simmental Cattle. M. Sc. Thesis, Chinese Academy of Agricultural Science.
  9. Schaeffer, L. R. 2002. Application of random regression model in animal breeding. J. Dairy Sci. 83 (Suppl. 1).
  10. Kirkpatrick, M., D. Lofsvold and M. Bulmer. 1990. Analysis of the inheritance, selection and evolution growth trajectories. Genetics 124:979-993.
  11. Madsen, P. and J. Jensen. 2000. A user’s guide to DMU. Danish Institute of Agricultural Science, Research Centre Foulum. Denmark.
  12. Henderson, C. R. Jr. 1982. Analysis of covariance in the mixed model: Higher level, no homogenous and random regressions. Biometrics 38:623-640.
  13. Guo, Z. and L. R. Schaeffer. 2002. Random Regression Submodel Comparison. 7th WCGALP, Paris.
  14. Meyer, K. and W. G. Hill. 1997. Estimation of genetic and phenotypic covariance function for longitudinal or ‘repeated ’records by restricted maximum likelihood.Livest. Prod. Sci. 47:185-200.
  15. Albuquerque, L. G. and K. Meyer. 2001. Estimates of covariance functions for growth from birth to 630 days of age in Nelore cattle. J. Anim. Sci. 79:2776-2789.

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