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首页> 外文期刊>Tropical Animal Health and Production >Estimation of genetic parameters for growth traits and Kleiber ratios in Boer x Central Highland goat
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Estimation of genetic parameters for growth traits and Kleiber ratios in Boer x Central Highland goat

机译:波尔X中央高地山羊生长特征遗传参数的遗传参数和Kleiber比

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Accurate performance evaluation and genetic parameters estimation are the prerequisites for any successful genetic improvement program. This study was conducted to estimate genetic parameters for growth and Kleiber ratio traits in Boer x Central Highland goats. On-station data collected from 2009 to 2018 were utilized for the study. A general linear model procedure of the Statistical Analysis System (SAS, version 9.0) was used to analyze fixed effects, and genetic parameters were estimated using the WOMBAT software fitted animal model. The log-likelihood ratio test was used for selecting the best fitted model. Based on best fitted models, the total heritability (h(t)(2)) estimate for birth weight (BWT), weaning weight (WWT), six-month weight (SMWT), nine-month weight (NMWT), and yearling weight (YWT) were 0.38, 0.12, 0.05, 0.30, and 0.28, respectively. The total heritability (h(t)(2)) estimates for weight gain from birth to weaning (ADG1), 3 to 6 months (ADG2), 6 to 9 months (ADG3), and 9 to 12 months of age (ADG4) were 0.09, 0.08, 0.16, and 0.14, respectively. The heritability estimates for Kleiber ratios in different growth phases were found to be low (0.09 to 0.18) based on the selected models. Even with this figure, including the Kleiber ratio in the selection criteria would be imperative to improve the feed efficiency of crossbred goats. The direct genetic correlation estimates among growth traits range from 0.60 +/- 0.14 to 0.97 +/- 0.12. Except for NMWT, ADG4, and Kleiber ratio from 9 months to yearling age, the maternal effect had a significant influence on all considered traits. However, the contribution of the maternal genetic effect was more important for early growth traits. Thus, considering both the direct additive genetic effect and the maternal genetic effect is imperative for accurate genetic evaluation and for high selection response. The moderate heritability estimates for most of the growth traits implies the possibility of selection in conjunction with crossbreeding for a better genetic response. The positive and high genetic correlation estimates among growth traits confirm the possibility of a selection of goats at an early age.
机译:准确的绩效评估和遗传参数估计是任何成功的遗传改善计划的先决条件。本研究进行了估算波尔X中央高地山羊的生长和猕猴桃比例的遗传参数。从2009年到2018年收集的车站数据用于研究。统计分析系统(SAS,版本9.0)的一般线性模型程序用于分析固定效果,估计遗传参数使用袋熊软件拟合动物模型估算。对数似然比测试用于选择最佳拟合模型。基于最佳拟合模型,总遗传性(H(T)(2))估计出生体重(BWT),断奶重量(WWT),六个月重量(SMWT),9个月重量(NMWT)和一岁重量(YWT)分别为0.38,0.12,0.05,0.30和0.28。总遗传性(H(T)(2))估计从出生到断奶(ADG1),3至6个月(ADG2),6至9个月(ADG3)和9至12个月(ADG4)分别为0.09,0.08,0.16和0.14。发现不同生长阶段的Kleiber比率的可遗传性估计是基于所选择的模型的低(0.09至0.18)。即使使用该图,包括选择标准中的Kleiber比率即使是提高杂交山羊的饲料效率。生长性状的直接遗传相关估计范围为0.60 +/- 0.14至0.97 +/- 0.12。除了NMWT,ADG4和Kleiber比例,从9个月到一岁到年龄,孕产妇效应对所有考虑的特征产生了重大影响。然而,母体遗传效应的贡献对于早期生长性状更为重要。因此,考虑到直接添加剂遗传效应和母体遗传效应对于准确的遗传评估和高选择响应是必不可少的。大多数生长特征的中等遗传性估计意味着与跨筛选结合选择的可能性,以获得更好的遗传反应。生长特征之间的正和高遗传相关估计确认了在早期选择山羊的可能性。

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