International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer

See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 6, Issue:11, November, 2017

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(11): 4256-4264

Comparative Studies on Different Sire Evaluation Methods: Review
Vikram Jakhar*, A.S. Yadav and S.S. Dhaka
Department of animal genetics and breeding, LUVAS, Hisar, Haryana, India
*Corresponding author

The major thrust in dairy cattle breeding programme has been to identify potential parents with high breeding value for next generation. In general, two breeding strategies are available for improvement of cattle, i.e. selective breeding with in a breed and cross breeding among breeds (Falconer and Mackay, 1996). For the formulation of effective genetic improvement programme, basic knowledge of genetic parameters of a herd must be known with maximum accuracy. To improve the efficiency and accuracy of sire evaluation programmes many sire indices has been developed by using the procedures of Simple Daughter Average (SDA), Ordinary Least-squares (OLS), Regressed Least-Squares (RLS), Best Linear Unbiased Prediction (BLUP) and Derivative free restricted maximum likelihood (DFREML).The comparison of efficiency of these sire evaluation methods was done by using the different criteria like coefficient of determination, coefficient of variation, rank correlations and error variance. The literature is dotted with conflicting reports (Pundir et al., 2004; Dhaka et al., 2004; Banik and Gandhi, 2006; Raja, 2010) on comparative evaluation of various sire evaluation techniques. The BLUP method was found to be more efficient, accurate in the some studies. While in some studies the derivative free restricted maximum likelihood method was superior over other methods. This review summarizes findings of various researches relating to comparative efficiency of sire evaluation methods for estimation of breeding values for efficient selection in animal breeding.

Keywords: Sire evaluation, Breeding value, LSM, BLUP, DFREML, OLS.

Download this article as Download

How to cite this article:

Vikram Jakhar, A.S. Yadav and Dhaka, S.S. 2017. Comparative Studies on Different Sire Evaluation Methods: Review.Int.J.Curr.Microbiol.App.Sci. 6(11): 4256-4264. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.