Effect of Non-Genetic Factors on Growth Traits of Kashmir Merino Sheep


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Authors

  • Rakib Rasool Janbaz Sri Ganganagar Institute of Veterinary Science Author
  • Parvaiz Ahmed Reshi SKUAST-Kashmir Author
  • Abdul Majeed Ganai SKUAST-Kashmir Author
  • Abdul Qayoom Mir SKUAST-kashmir Author
  • Muzamil Abdullah SKUAST-Kashmir Author
  • Tavsief Ahmad SKUAST-Kashmir Author
  • Ruksana Majid Author
  • Mohsin Ayoub Mir SKUAST-Kashmir Author

Keywords:

Kashmir Merino, Non-Genetic Factors, Least-Square Means, Growth Traits

Abstract

The study investigates the influence of non-genetic factors viz. Period and season of birth, sex, parity and birth type, on growth traits of Kashmir Merino sheep reared under the temperate agro-climatic conditions of Kashmir. Growth performance records collected over a nine year period (2016 - 2024) at the Mountain Research Centre for Sheep & Goat (MRCSG), SKUAST-K, were analyzed using a fixed linear model in R package. Traits included birth weight (BW), weaning weight (WW), six-month weight (6M) and twelve-month weight (12M). The average BW, WW, 6M and 12M weights were estimated as 3.71±0.06 kg, 13.13±0.29 kg, 22.97±0.41 and 30.28±0.89 kg with coefficients of variation of 21.29 %, 18.74%, 17.94% and 21.33%, respectively. The overall least-squares means were 3.5 ± 0.129 kg, 14.6 ± 0.667 kg, 22.1 ± 0.916 kg, and 33.9 ± 2.38 kg for BW, WW, 6M and 12M, respectively. Period of birth, Season of birth, parity, sex and birth type significantly influenced the growth traits in Kashmir-Merino Sheep. The study highlights the importance of accounting for these non-genetic factors in growth performance evaluation.

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References

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Submitted

2025-07-28

Published

2025-10-28

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Section

Articles

How to Cite

Rasool Janbaz, R., Reshi, P. A. ., Ganai, A. M., Mir, A. Q., Abdullah, M. ., Ahmad, T. ., Majid, R. ., & Mir, M. A. (2025). Effect of Non-Genetic Factors on Growth Traits of Kashmir Merino Sheep. Journal of Livestock Biodiversity, 14(1), 74-79. https://epubs.icar.org.in/index.php/JLB/article/view/169623