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Meta-analysis of average estimates of genetic parameters for growth, reproduction and milk production traits in goats

机译:山羊生长,繁殖和牛奶生产性状遗传参数的平均估计的荟萃分析

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A meta-analysis of 84 published reports on goats was conducted to calculate weighted and unweighted average direct heritability (h(a)(2)), maternal genetic effect (h(m)(2)), common environmental effect (c(2)), repeatability (R), genetic (r(g)) and phenotypic (r(p)) correlations for growth, reproduction and milk production traits. Weighted average h(a)(2), h(m)(2), and c(2) for growth traits ranged from 0.03 to 0.45, 0.05 to 0.27, and 0.02 to 0.10, respectively. Weighted average h(a)(2) for reproduction and milk production traits ranged from 0.00 to 0.17 and 0.15 to 0.22, respectively. Weighted R for the growth, reproduction, and milk production traits ranged from -0.06 to 0.56, 0.06 to 0.13, and 0.50 to 0.61, respectively. Weighted averages of r(p) and r(g) among growth traits ranged from 0.06 to 0.84 and 0.01 to 0.98, respectively. Weighted average r(p) among milk production traits ranged from 0.18 to 0.94. In most cases average h(a)(2) and r(g) had higher observed standard deviations compared to the theoretical standard error. The present finding revealed that weighted average h(a)(2), h(m)(2), c(2), R, and r(g) are more reliable for two reasons: estimates of h(a)(2) for some growth traits were more conservative than values from relatively higher number of records and the absence of significant effects of the tested fixed factors on some parameter estimates. However, studies on genetic parameter estimations are required for growth, reproduction, and milk traits in goats.
机译:对山羊的84条发表报告进行了荟萃分析,以计算加权和未加权的平均直接遗传性(H(a)(2)),母体遗传效果(h(m)(2)),常见的环境效应(c(2 )),可重复性(R),遗传(R(G))和生长,繁殖和乳产生性状的相关性(R(P))相关性。生长性状的加权平均H(A)(2),H(M)(2)和C(2)分别为0.03至0.45,0.05至0.27和0.02至0.10。用于繁殖的加权平均H(A)(2)分别为0.00至0.17至0.22倍。加权R分别为生长,繁殖和牛奶生产性分别为-0.06至0.56,0.06至0.13,分别为0.50至0.61。生长性状的R(P)和R(g)的加权平均分别为0.06至0.84和0.01至0.98。牛奶生产性质中的加权平均R(P)范围为0.18至0.94。在大多数情况下,与理论标准误差相比,平均值H(a)(2)和r(g)具有更高的观察标准偏差。本发现显示,由于两个原因)对于一些生长特征,比来自相对较高数量的记录和测试的固定因子对某些参数估计的重大影响的价值更加保守。然而,山羊中生长,繁殖和牛奶特征需要研究遗传参数估计。

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