Primary factors affecting the evaluation accuracy of animal model MBLUP

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.