Evaluation of sires using univariate animal model in Murrah buffaloes
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Keywords:
BLUP, Breeding value, DFREL, Sire evaluationAbstract
The percentage of sires superior to the population mean was 63.24, 58.82, and 60.29% using LS, BLUP, and DFREML method respectively for AFC trait. The corresponding figure in percentage applying LS, BLUP and DFREML methods were 51.47, 58.82 and 39.71% for FCI; 60.29, 47.06 and 47.06% for FLMY; 54.41, 64.71 and 42.65% for FLP; 51.47, 80.88 and 44.12% for WFC, and 51.47, 29.40 and 44.12% for FSP trait, respectively. The LS and BLUP methods gave almost the same results. This study concluded with the results that LS and BLUP method gave the same result for evaluating the different sires considering all the traits, viz. AFC, FCI, FLMY, FLP, WFC, and FSP. The values of lower error variance and high relative efficiency suggested that the BLUP method was best for evaluating the different sires followed by LS and DFREML methods using different first lactation traits.Downloads
References
Banik S and Gandhi R S. 2006. Animal model versus conventional methods of sire evaluation in Sahiwal cattle. Asian- DOI: https://doi.org/10.5713/ajas.2006.1225
Australasian Journal of Animal Sciences 19(9): 1225–28.
Dempfle L. 1977. Comparison of several sire evaluation methods in dairy cattle breeding. Livestock Production Science 42(2): 129–39. DOI: https://doi.org/10.1016/0301-6226(77)90030-6
Deulkar P B and Kothekar M D. 1999. Sire evaluation considering first lactation yield of improvement of lifetime production in Sahiwal. Indian Journal of Animal Sciences 69(4): 24–28.
Gandhi R S and Gurnani M. 1991. Accuracy of different methods of sire evaluation in Sahiwal cattle. Indian Veterinary Journal 68(7): 659–62.
Gaur G K, Tripathi V N, Mukherjee S and Chaudhary V K. 2001. Efficiency of sire evaluation procedure in Frieswal cattle. Indian Journal of Veterinary Research 10(2): 1–6.
Harvey W R.1990. User guide for LSMLMW and MIXMDL Package. Mix Model Least Squares and Maximum Likelihood
Computer Programme. PC-2 Version. Mimeograph, Columbia, Ohio, USA.
Henderson C R.1973. Sire evaluation and genetic trends. Proceedings of Animal Breeding and Genetics Symposium in Honour of Dr J L Lush. pp. 10–41. American Society of Animal Science and American Dairy Science Association. Champaign. Illinois. DOI: https://doi.org/10.1093/ansci/1973.Symposium.10
Meyer K. 1998. User’s note on DFREML. Version 3.0 p. Programs to estimated variance. Components by restricted maximum likelihood using derivative free algorithm. User’s note AGBU, university of New England, New, Memo. 30 p.
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 Institute, Deemed University, Karnal, India.
Sathwara R N, Gupta J P, Chaudhari J D, Prajapati B M, Srivastava A K, Chauhan H D and Patel P A. 2019. Sire evaluation models for estimating breeding values of Mehsana buffaloes. Indian Journal of Animal Sciences 89(4): 448–52.
Singh P K and Singh B P. 1999. Efficacy of different methods in genetic evaluation of Murrah sires. Indian Journal of Animal Sciences 69: 1044–47.
Tewari Reetu, Kumar D, Singh C B and Singh Harpal. 2020. Conventional methods for evaluation of Murrah breed sires. International Journal of Science, Environment and Technology 9(5): 762–66.
Vij P K and Tiwana M S. 1988. A note on evaluation on buffalo sires. Indian Journal of Dairy Science 41: 500–01.
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