Best Linear Unbiased Prediction of Genomic Breeding Values Using a Trait-Specific Marker-Derived Relationship Matrix

@inproceedings{Zhang2010BestLU,
  title={Best Linear Unbiased Prediction of Genomic Breeding Values Using a Trait-Specific Marker-Derived Relationship Matrix},
  author={Zhe Zhang and Jianfeng Liu and Xiangdong Ding and Piter Bijma and Dirk-Jan de Koning and Qin Zhang},
  booktitle={PloS one},
  year={2010}
}
BACKGROUND With the availability of high density whole-genome single nucleotide polymorphism chips, genomic selection has become a promising method to estimate genetic merit with potentially high accuracy for animal, plant and aquaculture species of economic importance. With markers covering the entire genome, genetic merit of genotyped individuals can be predicted directly within the framework of mixed model equations, by using a matrix of relationships among individuals that is derived from… CONTINUE READING
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