Jafari S, Hashemi A
Department of Animal Science, Faculty of Agriculture, Urmia University, Urmia, Iran
Department of Animal Science, Faculty of Agriculture, Urmia University, Urmia, Iran.
Genet Mol Res. 2014 Feb 20;13(1):1079-87. doi: 10.4238/2014.February.20.9.
Estimation of genetic parameters is the most important component of an organized selection program. With respect to economic traits, such as wool and mutton traits, production costs can be reduced through a suitable selection program focused on genetic improvement. This study aimed to evaluate genetic parameters of fleece and post-weaning growth traits in sheep. Greasy fleece weight at 6, 16, 28, 40, and 52 months of age (GFW1, GFW2, GFW3, GFW4, and GFW5) represented characteristics of wool quantity. Staple length at shoulder, side, and rump (SL1, SL2, and SL3), fiber diameter, and percentage of true wool (TW%) were used as characteristics of wool quality. Live body weight at 6, 9, and 12 months of age (BW6, BW9, and BW12) reflected post-weaning growth characteristics. These data were collected over 23 years, from 1989 to 2012, at the Makuie Sheep Breeding and Raising Station (MSBS). Estimations were calculated using the derivative-free restricted maximum likelihood (DFREML) model. Direct heritability estimates, based on single-trait analyses, ranged from 0.10 (GFW1) to 0.80 (TW%). Additive genetic correlations among the traits ranged from highly negative (-0.46) to highly positive (0.99). The log likelihood ratio test (LRT) was used for selection of the most appropriate model. Based on the LRT, direct additive genetic and maternal permanent environmental effects were considered as the main sources of variation in the studied traits.
遗传参数估计是有组织的选择计划中最重要的组成部分。对于羊毛和羊肉等经济性状而言,通过专注于遗传改良的合适选择计划可以降低生产成本。本研究旨在评估绵羊的羊毛和断奶后生长性状的遗传参数。6、16、28、40和52月龄时的污毛量(GFW1、GFW2、GFW3、GFW4和GFW5)代表羊毛产量特征。肩部、体侧和臀部的毛长(SL1、SL2和SL3)、纤维直径和真毛百分比(TW%)用作羊毛品质特征。6、9和12月龄时的体重(BW6、BW9和BW12)反映断奶后生长特征。这些数据是在1989年至2012年的23年间,于马奎绵羊繁育站(MSBS)收集的。使用无导数限制最大似然法(DFREML)模型进行估计。基于单性状分析的直接遗传力估计值范围为0.10(GFW1)至0.80(TW%)。性状间的加性遗传相关性范围从高度负相关(-0.46)到高度正相关(0.99)。对数似然比检验(LRT)用于选择最合适的模型。基于LRT,直接加性遗传效应和母体永久环境效应被视为所研究性状变异的主要来源。