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The estimation of (co)variance components and genetic parameters for growth and wool traits in Harnali sheep
Small Ruminant Research ( IF 1.6 ) Pub Date : 2021-07-30 , DOI: 10.1016/j.smallrumres.2021.106485
Ashish Chauhan 1 , S.P. Dahiya 1 , Y.C. Bangar 1 , Ankit Magotra 1
Affiliation  

The present study was undertaken to estimate (co)variance components and genetic parameters of important growth and wool traits in Harnali sheep using data records of 1862 lambs born to 144 sires and 591 dams for the period from 1998 to 2018. Six univariate animal models including or ignoring maternal genetic and permanent environmental effects were fitted to birth weight (BWT), weaning weight (WWT), 6 months weight (6WT), 12 months weight (YWT), first clip greasy fleece weight (FGFW) and annual greasy fleece weight (AGFW) and further compared using likelihood ratio test. It was observed that the model including direct additive genetic and maternal additive genetic effect without taking covariance between them into account was the most suitable for BWT and WWT. For remaining traits, only direct additive genetic effect model was found to be most appropriate. The estimates of heritability under the best model for BWT, WWT, 6WT, YWT, FGFW and AGFW were 0.23, 0.10, 0.18, 0.11, 0.08 and 0.31, respectively. The maternal influence accounted for 8 % of variation for BWT and WWT which indicated importance of maternal effect during preweaning period. The genetic and phenotypic correlations of 6WT with other traits were positive and ranged medium to moderate. Therefore, it was concluded that medium genetic variability of 6WT and its potential ability for improving other traits should be exploited to achieve genetic improvement in Harnali sheep.



中文翻译:

Harnali绵羊生长和羊毛性状的(协)方差分量和遗传参数的估计

本研究旨在使用 1998 年至 2018 年期间 144 只公牛和 591 只母羊所生的 1862 只羔羊的数据记录来估计 Harnali 绵羊重要生长和羊毛性状的(协)方差分量和遗传参数。六个单变量动物模型,包括或忽略母体遗传和永久环境影响分别拟合出生体重 (BWT)、断奶体重 (WWT)、6 个月体重 (6WT)、12 个月体重 (YWT)、初剪毛重 (FGFW) 和年毛重(AGFW) 并使用似然比检验进一步比较。观察到包括直接加性遗传和母体加性遗传效应而不考虑它们之间的协方差的模型最适合BWT和WWT。对于剩余的特征,只有直接加性遗传效应模型被认为是最合适的。BWT、WWT、6WT、YWT、FGFW 和 AGFW 在最佳模型下的遗传力估计值分别为 0.23、0.10、0.18、0.11、0.08 和 0.31。母体影响占 BWT 和 WWT 变异的 8%,这表明断奶前母体影响的重要性。6WT 与其他性状的遗传和表型相关性呈正相关,范围为中等至中等。因此,可以得出结论,应该利用6WT的中等遗传变异性及其改善其他性状的潜在能力来实现Harnali绵羊的遗传改良。母体影响占 BWT 和 WWT 变异的 8%,这表明断奶前母体影响的重要性。6WT 与其他性状的遗传和表型相关性呈正相关,范围为中等至中等。因此,可以得出结论,应该利用6WT的中等遗传变异性及其改善其他性状的潜在能力来实现Harnali绵羊的遗传改良。母体影响占 BWT 和 WWT 变异的 8%,这表明断奶前母体影响的重要性。6WT 与其他性状的遗传和表型相关性呈正相关,范围为中等至中等。因此,可以得出结论,应该利用6WT的中等遗传变异性及其改善其他性状的潜在能力来实现Harnali绵羊的遗传改良。

更新日期:2021-08-04
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