Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit.

@article{Strandn2009TechnicalND,
  title={Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit.},
  author={Ismo Strand{\'e}n and Dorian J Garrick},
  journal={Journal of dairy science},
  year={2009},
  volume={92 6},
  pages={2971-5}
}
Conventional prediction of dairy cattle merit involves setting up and solving linear equations with the number of unknowns being the number of animals, typically millions, multiplied by the number of traits being simultaneously assessed. The coefficient matrix has been large and sparse and iteration on data has been the method of choice, whereby the coefficient matrix is not stored but recreated as needed. In contrast, genomic prediction involves assessment of the merit of genome fragments… CONTINUE READING
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