巴西特克塞尔羊生长特征的遗传参数估计

Ali William Canaza-Cayo , Fernando Amarilho Silveira , Roxana Churata-Huacani , Júlio Sílvio de Sousa Bueno Filho
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引用次数: 0

摘要

本研究旨在估算在巴西大范围系统中饲养的德克塞尔绵羊出生体重(BW)、断奶体重(WW)和断奶后体重(PW)的直接和母体影响的遗传参数。本研究使用的数据文件包括 2020 年至 2021 年出生的 834 只德克塞尔羔羊(376 只雄性和 458 只雌性)的体重记录,这些羔羊是 475 只母羊和 45 只公羊的后代。使用 ASReml-R 软件中的限制最大似然法建立了多变量动物模型,以估计方差成分、遗传率和遗传相关性,并使用统计分析系统的一般线性模型程序分析了固定因素的影响。对特克赛尔绵羊群体的生长性状数据拟合了五个不同的动物模型,包括有无母系遗传效应、母系永久环境效应以及加性遗传效应和母系遗传效应之间的协方差。使用 AIC 和 BIC 检验结果来评估生长性状的最佳拟合模型。羔羊性别对体重、每头重和每头胸围的影响显著,而出生类型和产羔年份对所有性状的影响均显著(P < 0.05)。模型 4 包含直接加性遗传效应、母本加性遗传效应和母本永久环境效应,对所有生长性状的 AIC 估计值最小。BW、WW 和 PW 的直接附加遗传力分别为 0.11 ± 0.03、0.37 ± 0.05 和 0.31 ± 0.08,这些性状的母源遗传力分别为 0.00 ± 0.00、0.04 ± 0.02 和 0.00 ± 0.00。体重、膘情和脉搏的总遗传力估计值分别为 0.11 ± 0.03、0.39 ± 0.05 和 0.31 ± 0.08。BW-WW、BW-PW 和 WW-PW 之间的直接加性遗传相关估计值分别为 0.68 ± 0.12、0.66 ± 0.12 和 0.78 ± 0.07。BW-WW、BW-PW 和 WW-PW 之间的母源永久环境相关性分别为 0.38 ± 0.27、0.29 ± 0.20 和 0.74 ± 0.16。表型相关性介于 0.43 ± 0.03 和 0.75 ± 0.02 之间。结论是,由于 BB、WW 和 PW 存在遗传变异,且它们之间有很强的遗传相关性,因此在巴西特克塞尔绵羊中可以通过选育实现这些性状的遗传进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic parameter estimates for growth traits in Texel sheep of Brazil

The present study aimed to estimate the genetic parameters for direct and maternal influences on birth weight (BW), weaning weight (WW) and postweaning weight (PW) of Texel sheep, raised in an extensive system from Brazil. Data file used in this study consisted of 834 body weight records of 834 Texel lambs (376 males and 458 females) born from 2020 to 2021, offspring of 475 ewes and 45 rams. Multivariate animal model was conducted to estimate the variance components, heritability and genetic correlations using the restricted maximum likelihood method in ASReml-R software, while the effects of fixed factors were analyzed by the general linear model procedure of statistical analysis system. Five different animal models, with or without maternal genetic effect, maternal permanent environment effect and covariance between additive genetic and maternal genetic effects, were fitted on the growth traits data of the Texel sheep population. AIC and BIC test results were used to evaluate the best fit models for growth traits. The effect of lamb's sex was significant on BW, WW and PW while birth type and year of lambing effects were on all traits (P < 0.05). Model 4, incorporating direct additive genetic, maternal additive genetic and maternal permanent environmental effects showed the minimum AIC estimate for all growth traits. The direct additive genetic heritability for BW, WW and PW were 0.11 ± 0.03, 0.37 ± 0.05 and 0.31 ± 0.08, respectively and maternal heritability for these traits were 0.00 ± 0.00, 0.04 ± 0.02 and 0.00 ± 0.00, respectively. The total heritability estimates for BW, WW and PW were 0.11 ± 0.03, 0.39 ± 0.05 and 0.31 ± 0.08, respectively. The estimates of the direct additive genetic correlation between BW-WW, BW-PW and WW-PW were 0.68 ± 0.12, 0.66 ± 0.12 and 0.78 ± 0.07, respectively. The maternal permanent environmental correlation between BW-WW, BW-PW and WW-PW were 0.38 ± 0.27, 0.29 ± 0.20 and 0.74 ± 0.16, respectively. Phenotypic correlation ranged from 0.43 ± 0.03 to 0.75 ± 0.02. It is concluded that due to the existence of genetic variation for BB, WW and PW and strong genetic correlation among them, genetic progress for these traits is possible by selection in Texel sheep from Brazil.

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