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Animal Model Versus Conventional Methods of Sire Evaluation in Sahiwal Cattle

  • Banik, S. (ABG Division, F. V. Sc. & A.H., Shuhama Campus, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir) ;
  • Gandhi, R.S. (Dairy Cattle Breeding Division, National Dairy Research Institute)
  • Received : 2005.01.12
  • Accepted : 2005.10.07
  • Published : 2006.09.01

Abstract

A total of 1,367 first lactation records of daughters of 81 sires, having 5 or more progeny were used to evaluate sires by 3 different methods viz., least squares (LS), best linear unbiased prediction (BLUP) and derivative free restricted maximum likelihood (DFREML) method. The highest and lowest overall average breeding value of sires for first lactation 305 days or less milk yield was obtained by BLUP (1,520.72 kg) and LS method (1,502.22 kg), respectively. The accuracy, efficiency and stability of different sire evaluation methods were compared to judge their effectiveness. The error variance of DFREML method was lowest ($191,112kg^2$) and its coefficient of determination of fitting the model was highest (33.39%) revealing that this method of sire evaluation was most efficient and accurate as compared to other methods. However, the BLUP method was most stable amongst all the methods having coefficient of variation (%) very near to unadjusted data (18.72% versus 19.89%). The higher rank correlations (0.7979 to 0.9568) between different sire evaluation methods indicated that there was higher degree of similarity of ranking sires by different methods ranging from about 80 to 96 percent. However, the DFREML method seemed to be the most effective sire evaluation method as compared to other methods for the present set of data.

Keywords

References

  1. Deb, S. M., M. Gurnani and C. T. Chacko. 1998. Comparison of sire evaluation methods under field conditions. Indian J. Dairy Sci. 51(4):210-215
  2. Dempfle, L. 1977. Comparison of several sire evaluation methods in dairy cattle breeding. Livestock Prod. Sci. 4(2):129-139 https://doi.org/10.1016/0301-6226(77)90030-6
  3. Deulkar, P. B. and M. D. Kothekar. 1999. Sire evaluation considering first lactation yield for improvement of lifetime production in Sahiwal. Indian J. Anim. Sci. 69(4):240-242
  4. Gandhi, R. S. and M. Gurnani. 1991. Accuracy of different methods of sire evaluation in Sahiwal cattle. Indian Vet. J. 68(7):659-662
  5. Gaur, G. K., V. N. Tripathi, S. Mukherjee and V. K. Choudhary. 2001. Efficiency of sire evaluation procedures in Frieswal cattle. Indian J. Vet. Res. 10(2):1-6
  6. Harvey, W. R. 1987. Least squares analysis of data with unequal subclass numbers. ARS H-4, USDA, Washington, DC
  7. Henderson, C. R. 1975. Use of relationship among sires to increase accuracy of sire evaluation. J. Dairy Sci. 58(11):1731-1738 https://doi.org/10.3168/jds.S0022-0302(75)84777-1
  8. Jain, A. and D. K. Sadana. 2000. Sire evaluation using animal model and conventional methods in Murrah buffaloes. Asian-Aust. J. Anim. Sci. 13(9):1196-1200 https://doi.org/10.5713/ajas.2000.1196
  9. Meyer, K. 1989. Restricted Maximum Likelihood to estimate variance components for animal models with several random effects using a derivative-free algorithm. Genet. Select. Evol. 21:317-340 https://doi.org/10.1186/1297-9686-21-3-317
  10. Meyer, K. 1998. DFREML (Derivative Free Restricted Maximum Likelihood) Programme. Version 3.0$\beta$. User notes. University of New England, Armidale, NSW 2351, Australia
  11. Parekh, H. B. and M. Singh. 1989. Efficiency of different procedures of dairy sire evaluation using crossbred progeny. Indian J. Dairy. Sci. 42(3):482-488
  12. Robertson, A. and J. M. Randel. 1954. The performance of heifers got by artificial insemination. J. Agric. Sci. 44:184-192 https://doi.org/10.1017/S002185960004627X
  13. Sahana, G. 1996. Effectiveness of sire evaluation methods for milk production along with auxiliary traits vis-à-vis other methods in crossbred cattle. Ph.D. Thesis, National Dairy Research Institute, Deemed University, Karnal, India
  14. Sahana, G. and M. Gurnani. 1999. Efficacy of auxiliary traits in estimation of breeding value of sires for milk production. Asian-Aust. J. Anim. Sci. 12(4):511-514 https://doi.org/10.5713/ajas.1999.511
  15. Singh, P. K. and B. P. Singh. 1999. Efficacy of different methods in genetic evaluation of Murrah sires. Indian J. Anim. Sci. 69(12):1044-1047
  16. Singh, R. 1992. Genetic evaluation of Sahiwal bulls on the basis of daughter's multiple traits under selection. M.Sc. Thesis, National Dairy Research Institute, Deemed University, Karnal, India
  17. Tajane, K. R. and A. V. Rai. 1990. Efficiency of sire evaluation methods to improve milk yield of SahiwalxHolstein-Friesian cattle. Indian J. Anim. Sci. 60(1):183-191
  18. Vij, P. K. and M. S. Tiwana. 1988. A note on evaluation of buffalo sires. Indian J. Dairy Sci. 41(4):500-501

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