Abstract：
Genomic prediction was conducted using 2494 Japanese Black cattle from Hiroshima Prefecture and both single-nucleotide polymorphism information and phenotype data on monounsaturated fatty acid (MUFA) and oleic acid (C18:1) analyzed with gas chromatography. We compared the prediction accuracy for four models (A, additive genetic effects; AD, as for A with dominance genetic effects; ADR, as for AD with the runs of homozygosity (ROH) effects calculated by ROH-based relationship matrix; and ADF, as for AD with the ROH-based inbreeding coefficient of the linear regression). Bayesian methods were used to estimate variance components. The narrow-sense heritability estimates for MUFA and C18:1 were 0.52-0.53 and 0.57, respectively; the corresponding proportions of dominance genetic variance were 0.04-0.07 and 0.04-0.05, and the proportion of ROH variance was 0.02. The deviance information criterion values showed slight differences among the models, and the models provided similar prediction accuracy.
摘要：
使用来自广岛县的2494只日本黑牛进行了基因组预测，并通过气相色谱分析了单核苷酸多态性信息和单不饱和脂肪酸（MUFA）和油酸（C18：1）的表型数据。我们比较了四个模型的预测精度(A，加性遗传效应；AD，至于具有显性遗传效应的A；ADR，至于具有纯合性(ROH)效应的AD，由基于ROH的关系矩阵计算；和ADF，至于AD，用基于ROH的近交系数进行线性回归)。贝叶斯方法用于估计方差分量。MUFA和C18:1的狭义遗传力估计值分别为0.52-0.53和0.57；优势遗传变异的相应比例为0.04-0.07和0.04-0.05，ROH变异的比例为0.02。偏差信息标准值显示模型之间略有差异，模型提供了相似的预测精度。
