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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]
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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

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