影响动物模型MBLUP评定准确性的主要因素(英文)

Primary Factors Affecting the Evaluation Accuracy of Animal Model MBLUP

标记辅助最佳线性无偏预测 (marker-assistedbestlinearunbiasedprediction ,MBLUP)是对动物实施标记辅助选择 (marker-assistedselection ,MAS)的一种重要方法。通过计算机随机模拟研究了所选性状的遗传力、QTL方差和相邻两个标记间图距 3个因素对动物模型MBLUP评定准确性的影响。结果表明 ,性状的遗传力越高、QTL方差和相邻两个标记间图距越小时 ,动物模型MBLUP评定的准确性越高 ;相反 ,当性状的遗传力较低、QTL方差和相邻两个标记间图距较大时 。

Marker-assisted best linear unbiased prediction (MBLUP) is one important method of implementing marker-assisted selection (MAS).The computer stochastic simulation method was used to study the effects of heritability of trait,QTL variance and map distance between two adjacent markers on the evaluation accuracy of animal model MBLUP.With the higher heritability,the smaller QTL variance and the shorter map distance between two adjacent markers,the evaluation accuracy of animal model MBLUP would be increased.On the contrary,the evaluation accuracy of animal model MBLUP would be decreased when the heritability was lower,QTL variance was larger and map distance between two adjacent markers was longer.