Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-24T17:38:39.378Z Has data issue: false hasContentIssue false
  • English
  • Français

Genetic and non-genetic effects associated with ewe productivity in Harnali sheep

Published online by Cambridge University Press:  09 December 2021

Parth Gaur ,
Z. S. Malik ,
Yogesh C. Bangar Open the ORCID record for Yogesh C. Bangar [Opens in a new window] ,
Ankit Magotra Open the ORCID record for Ankit Magotra [Opens in a new window]  and
A. S. Yadav
Parth Gaur
Affiliation:
Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125001, India
Z. S. Malik
Affiliation:
Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125001, India
Yogesh C. Bangar*
Affiliation:
Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125001, India
Ankit Magotra
Affiliation:
Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125001, India
A. S. Yadav
Affiliation:
Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125001, India
*
Author for correspondence: Yogesh C. Bangar. Department of Animal Genetics and Breeding, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125001, India. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Summary

The objective of the current study was to estimate the genetic parameters for ewe productivity traits of Harnali sheep by examining non-genetic effects. The data records of 440 animals born to 85 sires and 259 dams were collected with respect to various traits such as litter size at birth (LSB), litter weight at birth (LWB), litter size at weaning (LSW), litter weight at weaning (LWW) and age at first lambing (AFL) for the period of 2001 to 2020. Genetic parameters were estimated by fitting a series of animal models using an average information restricted maximum likelihood (REML) algorithm in WOMBAT software. Least-squares analysis revealed significant (P < 0.05) influences of period of lambing, age and weight of ewe at lambing on the studied traits. These results indicated that heavier ewes had significantly higher (P < 0.05) values of litter weight traits than their counterparts. On the basis of likelihood ratio test, the estimates of direct heritability under best model for AFL, LSB, LWB, LSW and LWW were 0.06, 0.18, 0.09, 0.07 and 0.16, respectively. Maternal permanent environment effect made a significant contribution to the LSB trait (0.20). The genetic correlation between litter size and LWW was negative, while the remaining correlations were positive. The present results suggest that selection based on ewe productivity traits will result in low genetic progress and therefore the management role is more important for better gains.

Keywords

Animal modelHarnali sheepHeritabilityLitter traits
Type
Research Article
Information
Zygote , Volume 30 , Issue 3 , June 2022 , pp. 386 - 390
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bangar, YC, Magotra, A and Yadav, AS (2020). Estimates of covariance components and genetic parameters for growth, average daily gain and Kleiber ratio in Harnali sheep. Trop Anim Health Prod 52, 2291–6.CrossRefGoogle ScholarPubMed
Bangar, YC, Magotra, A, Yadav, AS and Chauhan, A (2021). Estimation of genetic parameters for early reproduction traits in Beetal goat. Zygote, 1–6. doi:10.1017/S0967199421000642 Google ScholarPubMed
Boujenane, I, Kerfal, M and Khallouk, M (1991). Genetic and phenotypic parameters for litter traits of D’Man ewes. Anim Sci 52, 127–32.CrossRefGoogle Scholar
Bromley, CM, Van Vleck, LD and Snowder, GD (2001). Genetic correlations for litter weight weaned with growth, prolificacy, and wool traits in Columbia, Polypay, Rambouillet, and Targhee sheep. J Anim Sci 79, 339–46.CrossRefGoogle ScholarPubMed
Cloete, SWP, Greeff, JC and Lewer, RP (2002). Heritability estimates, genetic and phenotypic correlations of lamb production parameters with hogget live weight and fleece traits in Western Australian merinos. Aust J Agric Res 35, 281–6.CrossRefGoogle Scholar
Dickerson, GE (1970). Efficiency of animal production—molding the biological components. J Anim Sci 30, 849–59.CrossRefGoogle Scholar
Duguma, G, Schoeman, SJ, Cloete, SWP and Jordaan, GF (2002). Genetic and environmental parameters for ewe productivity in Merinos. S Afr J Anim Sci 32, 154–9.CrossRefGoogle Scholar
Ekiz, B, Ozcan, M, Yilmaz, A and Ceyhan, A (2005). Estimates of phenotypic and genetic parameters for ewe productivity traits of Turkish Merino (Karacabey Merino) sheep. Turk J Vet Anim Sci 29, 557–64.Google Scholar
Fogarty, NM, Brash, LD and Gilmour, AR (1994). Genetic parameters for reproduction and lamb production and their components and liveweight, fat depth and wool production in Hyfer sheep. Aust J Agric Res 45, 443–57.CrossRefGoogle Scholar
IBM Corp. (2011). IBM SPSS Statistics for Windows, version 20.0. Armonk, NY: IBM Corp.Google Scholar
Islam, MM, Anjum, S, Modi, RJ and Wadhwani, KN (2016). Scenario of livestock and poultry in India and their contribution to national economy. Int J Environ Sci Technol 5, 956–65.Google Scholar
Matos, CA, Thomas, DL, Gianola, D, Tempelman, RJ and Young, LD (1997). Genetic analysis of discrete reproductive traits in sheep using linear and nonlinear models: I. Estimation of genetic parameters. J Anim Sci 75, 76–87.CrossRefGoogle ScholarPubMed
Meyer, K (2007). WOMBAT: a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). J Zhejiang Univ Sci B 8, 815–21.CrossRefGoogle Scholar
Miraei-Ashtiani, SR, Seyedalian, SAR and Moradi Shahrbabak, M (2007). Variance components and heritabilities for body weight traits in Sangsari sheep, using univariate and multivariate animal models. Small Rumin Res 73, 109–14.CrossRefGoogle Scholar
Mokhtari, MS, Rashidi, A and Esmailizadeh, AK (2010). Estimates of phenotypic and genetic parameters for reproductive traits in Kermani sheep. Small Rumin Res 88, 27–31.CrossRefGoogle Scholar
Olivier, WJ, Snyman, MA, Olivier, JJ, Van Wyk, JB and Erasmus, GJ (2001). Direct and correlated responses to selection for total weight of lamb weaned in Merino sheep. S Afr J Anim Sci 31, 115–21.CrossRefGoogle Scholar
Rashidi, A, Mokhtari, MS, Esmailizadeh, AK and Asadi Fozi, MA (2011). Genetic analysis of ewe productivity traits in Moghani sheep. Small Rumin Res 96, 11–5.CrossRefGoogle Scholar
Rosati, A, Mousa, E, Van Vleck, LD and Young, LD (2002). Genetic parameters of reproductive traits in sheep. Small Rumin Res 43, 65–74.CrossRefGoogle Scholar
Safari, E, Fogarty, NM and Gilmour, AR (2005). A review of genetic parameter estimates for wool, growth, meat and reproduction traits in sheep. Livest Prod Sci 92, 271–89.CrossRefGoogle Scholar
Skapetas, B and Kalaitzidou, M (2017). Current status and perspectives of sheep sector in the world. Livest Res Rural Dev 29, 21.Google Scholar
Vatankhah, M, Talebi, MA and Edriss, MA (2008). Estimation of genetic parameters for reproductive traits in Lori-Bakhtiari sheep. Small Rumin Res 74, 216–20.CrossRefGoogle Scholar
Yavarifard, R, Hossein-Zadeh, NG and Shadparvar, AA (2015). Estimation of genetic parameters for reproductive traits in Mehraban sheep. Czech J Anim Sci 60, 281–8.CrossRefGoogle Scholar