The construction of covariance matrices that account for the genetic relationships among individuals, using pedigree or genotype data, is integral to genetic evaluations, which are now routinely used in the field of animal breeding. The objective of the present study was to estimate the standard deviation in the proportion of the segregating genome that is shared between pairs of full-sibling cattle and sheep independently. Post edits, genotype data comprising 46,069 autosomal single nucleotide polymorphisms (SNPs) were available for 4532 unique full-sibling sheep pairs, as well as for their respective parents. Post edits, genotypes from 50,493 autosomal SNPs were also available for 10,000 unique full-sibling cattle pairs, as well as their respective parents. Genomic relationship matrices were constructed for the sheep and cattle populations, separately. After accounting for both parental genomic inbreeding and the genomic relationship between both parents, the standard deviation in full-sibling cattle and sheep genomic relationships was 0.040 and 0.037 units, respectively. In addition, the intercept value from a linear regression model which regressed each full-sibling genomic relationship on both sire and dam inbreeding, as well as the genomic relationship between the parents, was 0.499 (0.001) for sheep and 0.500 (0.001) for cattle, conforming to the expectation that full-siblings, on average, share 50% of their segregating genome.

中文翻译：

---

同胞牛羊之间共享的分离基因组比例的变化

使用谱系或基因型数据构建解释个体之间遗传关系的协方差矩阵是遗传评估不可或缺的一部分，遗传评估现在通常用于动物育种领域。本研究的目的是估计成对的全同胞牛羊独立共享的分离基因组比例的标准差。编辑后，包含 46,069 个常染色体单核苷酸多态性 (SNP) 的基因型数据可用于 4532 对独特的全同胞绵羊对及其各自的父母。编辑后，来自 50,493 个常染色体 SNP 的基因型也可用于 10,000 对独特的全同胞牛及其各自的父母。为绵羊和牛种群构建了基因组关系矩阵，分别地。在考虑了父母基因组近亲繁殖和父母双方的基因组关系后，同胞牛和羊基因组关系的标准差分别为 0.040 和 0.037 个单位。此外，线性回归模型的截距值对父系和母系近亲繁殖的每个同胞基因组关系以及父母之间的基因组关系进行了回归，绵羊为 0.499 (0.001)，牛为 0.500 (0.001) , 符合全兄弟姐妹平均共享 50% 的分离基因组的预期。