Genetic evaluation of growth performance of Rambouillet sheep in Jammu and Kashmir, India

NUSRAT NABI KHAN; MUBASHIR A RATHER; A HAMADANI; DIBYENDU CHAKRABORTY

doi:10.56093/ijans.v92i3.122265

Authors

NUSRAT NABI KHAN Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shuhama, Srinagar, Jammu and Kashmir 190 006 India
MUBASHIR A RATHER Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shuhama, Srinagar, Jammu and Kashmir 190 006 India
A HAMADANI Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shuhama, Srinagar, Jammu and Kashmir 190 006 India
DIBYENDU CHAKRABORTY Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shuhama, Srinagar, Jammu and Kashmir 190 006 India

https://doi.org/10.56093/ijans.v92i3.122265

Keywords:

BLUP, Genetic trends, Heritability, Kleiber ratio, Selection, Sheep

Abstract

The present study was conducted to genetically evaluate the growth performance in Rambouillet sheep. For this, data of 7,158 lambs born to 181 sires over a 16 year period from 2000 to 2015 were collected from Government Sheep Breeding Farm, Reasi, India. Random effect of sire as well as fixed effects of sex, genetic group, year, parity and birth type on the performance of this breed were evaluated. Ten traits were taken into consideration, viz. birth weight (BW), weaning-weight (WW), 6 months body weight (SMW), 12 month weight (YBW), average daily gain (birth to weaning) (ADG-1), metabolic mass at weaning age (WW0.75), Kleiber ratio (birth to weaning) (KR-1), average daily gain (weaning to yearling age) (ADG-2), and metabolic mass at 12 months (YBW0.75) and Kleiber ratio (weaning to 12 months) (KR-2). The overall least-squares means for BW, WW, SMW, YBW, ADG-1, WW0.75, KR-1, KR-2, ADG-2, and YBW0.75 were 3.16Â±0.05 kg, 13.79Â±0.16 kg, 18.81Â±0.22 kg, 28.00Â±0.26 kg, 116.93Â±1.72 g/day, 7.13Â±0.06 kg, 16.22Â±0.11, 4.38Â±0.10, 53.95Â±1.36 g/day, and 12.14Â±0.08 kg respectively. The sire and year effects of birth were significant. The genetic group was a non-significant source of variation for all traits under study. Sex effect was significant on most traits under study. Heritability ranged from low to moderate. Genetic and phenotypic correlations also ranged from low to very high. Genetic, phenotypic and environmental trends for BW, WW and WW0.75, genetic trends for BW, WW, SMW and WW0.75 and environmental trends for YBW, YBW0.75 and KR-2 were negative. Our results indicate that most of the variation may be attributed to nonadditive genetic effects and may also be influenced by the environment.

Downloads

Download data is not yet available.

References

Ahmad M, Werf J H J Van Der and Javed K. 2001. Genetic and phenotypic correlations for some economic traits in dairy cattle. Pakistan Veterinary Journal 21(2): 81–86.

Banik S and Gandhi R S. 2006. Animal model versus conventional methods of sire evaluation in Sahiwal cattle. Asian Australasian Journal of Animal Sciences 19(9): 1225–28. DOI: https://doi.org/10.5713/ajas.2006.1225

Dongre V B. 2012. ‘Modeling lactation curve for sire evaluation in Sahiwal cattle’. Ph.D. Thesis, Submitted to ICAR-NDRI, Deemed University, Karnal, Haryana, India.

Dongre V B and Gandhi R S. 2014. Study on sire evaluation methods in Sahiwal cattle. Indian Journal of Veterinary and Animal Science Research 43(3): 174–79.

Gandhi R S and Raja T V. 2018. Genetic evaluation of Sahiwal cattle. Today and Tomorrow’s Printers and Publishers, New Delhi. pp. 1–3.

Harvey W R. 1990. Mixed model least squares and maximum likelihood computer program, PC-2 version, Ohio, USA.

Henderson C R. 1973. Sire evaluation and genetic trends. Journal of Animal Science, Vol. 1973, Issue: Symposium, 1 January 1973, Pages 10–41. DOI: https://doi.org/10.1093/ansci/1973.Symposium.10

Henderson C R. 1975. Best linear unbiased prediction under a selection model. Biometrics 31: 423–47. DOI: https://doi.org/10.2307/2529430

Monalisa D. 21010. ‘Genetic analysis of test day milk yield in Sahiwal cattle’. M.V.Sc. Thesis, Submitted to ICAR-NDRI, Deemed University, Karnal, Haryana, India. Pandey H O, Tomar A K S and Dutt T. 2013. Comparison of sire evaluation methods in Vrindavani cattle. Indian Journal of Animal Sciences 83(4): 419–22.

Raj Des. 1987. ‘Development of optimum breeding programme for Kankrej cattle’. Ph.D. Thesis, Submitted to Kurukshetra University, Kurukshetra.

Raja T V. 2010. ‘Part lactation records for Sahiwal Sire evaluation’. Ph.D. Thesis, Submitted to ICAR-NDRI, Deemed University, Karnal, Haryana, India.

Singh J and Singh C V. 2016. Evaluation of sires using different sire evaluation methods on the basis of first lactation traits in Sahiwal cattle. Journal of Veterinary Science and Technology 7: 296. DOI: https://doi.org/10.4172/2157-7579.1000296

Singh Umesh, Gaur G K, Garg R C and Vinoo R. 2006. Genetic evaluation of Ongole bulls at organized herds. Indian Journal of Animal Sciences 76(11): 931–33.

Singh Umesh, Kumar Arun and Vinoo R. 2012. Breeding Values of Ongole bulls at organized herds. Indian Veterinary Journal 89(1): 92–93.

Singh Umesh, Kumar Arun, Beniwal B K and Khanna A S. 2008. Evaluation of breeding values of Hariana bulls on organized farms. Indian Journal of Animal Sciences 78(4): 388–90.

Singh Umesh, Raja T V, Alyethodi R R and Murthy K S. 2019. Genetic evaluation of Gir bulls under associated herd progeny testing programme. Indian Journal of Animal Sciences 89(5): 567–68.

Singh Umesh, Raja T V, Rathod B S, Panchasara H H and Alyethodi R R. 2020. Estimation of breeding values of Kankrej bulls under associated herd progeny testing program. Indian Journal of Animal Sciences 90(3): 145–47.