Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.

@article{Masuda2016ImplementationOG,
  title={Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.},
  author={Yutaka Masuda and Ignacy Misztal and Shogo Tsuruta and Andr{\'e}s Legarra and Ignacio Herrera Aguilar and Daniela A L Lourenco and Breno de Oliveira Fragomeni and Thomas J Lawlor},
  journal={Journal of dairy science},
  year={2016},
  volume={99 3},
  pages={1968-1974}
}
The objectives of this study were to develop and evaluate an efficient implementation in the computation of the inverse of genomic relationship matrix with the recursion algorithm, called the algorithm for proven and young (APY), in single-step genomic BLUP. We validated genomic predictions for young bulls with more than 500,000 genotyped animals in final score for US Holsteins. Phenotypic data included 11,626,576 final scores on 7,093,380 US Holstein cows, and genotypes were available for 569… CONTINUE READING