The fleece traits are important economic traits of goats. With the reduction of sequencing and genotyping cost and the improvement of related technologies, genomic selection for goats has become possible. The research collect pedigree, phenotype and genotype information of 2299 Inner Mongolia Cashmere goats (IMCGs) individuals. We estimate fixed effects, and compare the estimates of variance components, heritability and genomic predictive ability of fleece traits in IMCGs when using the pedigree based Best Linear Unbiased Prediction (ABLUP), Genomic BLUP (GBLUP) or single-step GBLUP (ssGBLUP). The fleece traits considered are cashmere production (CP), cashmere diameter (CD), cashmere length (CL) and fiber length (FL). It was found that year of production, sex, herd and individual ages had highly significant effects on the four fleece traits (P < 0.01). All of these factors should be considered when the genetic parameters of fleece traits in IMCGs are evaluated. The heritabilities of FL, CL, CP and CD with ABLUP, GBLUP and ssGBLUP methods were 0.26 ~ 0.31, 0.05 ~ 0.08, 0.15 ~ 0.20 and 0.22 ~ 0.28, respectively. Therefore, it can be inferred that the genetic progress of CL is relatively slow. The predictive ability of fleece traits in IMCGs with GBLUP (56.18% to 69.06%) and ssGBLUP methods (66.82% to 73.70%) was significantly higher than that of ABLUP (36.73% to 41.25%). For the ssGBLUP method is significantly (29% ~ 33%) higher than that with ABLUP, and which is slightly (4% ~ 14%) higher than that of GBLUP. The ssGBLUP will be as an superiors method for using genomic selection of fleece traits in Inner Mongolia Cashmere goats.

中文翻译：

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内蒙古绒山羊羊毛性状基因组预测的准确性

羊毛性状是山羊的重要经济性状。随着测序和基因分型成本的降低以及相关技术的改进，山羊的基因组选择已成为可能。该研究收集了2299只内蒙古绒山羊（IMCG）个体的谱系、表型和基因型信息。我们估计固定效应，并比较使用基于谱系的最佳线性无偏预测（ABLUP）、基因组BLUP（GBLUP）或单步GBLUP（ssGBLUP）时IMCG中羊毛性状的方差分量、遗传力和基因组预测能力的估计。考虑的羊毛特性是羊绒产量（CP）、羊绒直径（CD）、羊绒长度（CL）和纤维长度（FL）。结果发现，生产年份、性别、群体和个体年龄对羊毛的4个性状均具有极显着影响（P < 0.01）。在评估 IMCG 中羊毛性状的遗传参数时，应考虑所有这些因素。 ABLUP、GBLUP和ssGBLUP方法的FL、CL、CP和CD的遗传力分别为0.26～0.31、0.05～0.08、0.15～0.20和0.22～0.28。因此，可以推断CL的遗传进展相对缓慢。采用GBLUP（56.18％至69.06％）和ssGBLUP（66.82％至73.70％）方法对IMCG中羊毛性状的预测能力显着高于ABLUP（36.73％至41.25％）。对于ssGBLUP方法显着（29%~33%）高于ABLUP，并且略高于GBLUP（4%~14%）。 ssGBLUP 将成为利用基因组选择内蒙古绒山羊羊毛性状的优越方法。