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A comprehensive study on size and definition of the core group in the proven and young algorithm for single-step GBLUP.

Rostam Abdollahi-ArpanahiDaniela LourencoIgnacy Misztal
Published in: Genetics, selection, evolution : GSE (2022)
For small core sizes, the definition of the core matters; however, as the size of the core reaches an optimal value equal to the number of largest eigenvalues explaining 99% of the variation of G, the definition of the core becomes arbitrary.
Keyphrases
  • deep learning