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Research (Published online: 28-11-2015)

15. Genetic and non-genetic factors affecting morphometry of Sirohi goats - S. D. Dudhe, S. B. S. Yadav, R. K. Nagda, Urmila Pannu and

G. C. Gahlot

Veterinary World, 8(11): 1356-1363

 

 

   doi: 10.14202/vetworld.2015.1356-1363

 

S. D. Dudhe: Department of Animal Breeding & Genetics, College of Veterinary and Animal Science, Bikaner - 334 001, Rajasthan, India; drshashankdudhe@gmail.com

S. B. S. Yadav: Department of Animal Breeding & Genetics, College of Veterinary and Animal Science, Bikaner - 334 001, Rajasthan, India; yadavsbs@gmail.com

R. K. Nagda: Principal Investigator, All India Co-ordinated Research Project on Sirohi Goats, Udaipur - 313 601, Rajasthan, India; nagdark2006@yahoo.co.in

Urmila Pannu: Department of Animal Breeding & Genetics, College of Veterinary and Animal Science, Bikaner - 334 001, Rajasthan, India; urmila_pannu@yahoo.co.in

G. C. Gahlot: Department of Animal Breeding & Genetics, College of Veterinary and Animal Science, Bikaner - 334 001, Rajasthan, India; gahlotgcbkn@rediffmail.com

Received: 19-06-2015, Revised: 08-10-2015, Accepted: 15-10-2015, Published online: 28-11-2015

Corresponding author: S. D. Dudhe, e-mail: drshashankdudhe@gmail.com

Citation: Dudhe SD, Yadav SBS, Nagda RK, Pannu U, Gahlot GC (2015) Genetic and non-genetic factors affecting morphometry of Sirohi goats, Veterinary World 8(11): 1356-1363.

Abstract

Aim: The aim was to estimate genetic and non-genetic factors affecting morphometric traits of Sirohi goats under field condition.

Materials and Methods: The detailed information of all animals on body measurements at birth, 3, 6, 9, and 12 months of age was collected from farmer’s flock under field condition born during 2007-2013 to analyze the effect of genetic and non-genetic factors. The least squares maximum likelihood program was used to estimate genetic and non-genetic parameters affecting morphometric traits.

Results and Discussion: Effect of sire, cluster, year of birth, and sex was found to be highly significant (p<0.01) on all three morphometric traits, parity was highly significant (p<0.01) for body height (BH) and body girth (BG) at birth. The h2 estimates for morphometric traits ranged among 0.528±0.163 to 0.709±0.144 for BH, 0.408±0.159 to 0.605±0.192 for body length (BL), and 0.503±0.197 to 0.695±0.161 for BG.

Conclusion: The effect of sire was highly significant (p<0.01) and also h² estimate of all morphometric traits were medium to high; therefore, it could be concluded on the basis of present findings that animals with higher body measurements at initial phases of growth will perform better with respect to even body weight traits at later stages of growth.

Keywords: correlation, genetic, morphometric traits, non-genetic and Sirohi.

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