Approximated prediction of genomic selection accuracy when reference and candidate populations are related

HIGHLIGHTS

• who: Jean-Michel Elsen from the Author details , GenPhySE (Génétique, Physiologie et Systèmes d'Elevage), INRA, Castanet‑Tolosan, France, Animal Genetics and Breeding Unit, University of New England, Armidale, Australia. have published the paper: Approximated prediction of genomic selection accuracy when reference and candidate populations are related, in the Journal: (JOURNAL)
• what: This approach was extended to the case when only a part of the genetic variability is imperfectly marked by SNPs , and the situation of non-independence between reference and candidate populations was explored . In this paper, an alternative approximation is . . .
  

   

  

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