The use of genomic information increases the accuracy of breeding value predictions for sea louse (caligus rogercresseyi) resistance in atlantic salmon (salmo salar)

HIGHLIGHTS

• who: Katharina Correa from the It is possible to improve prediction accuracy for Crogercresseyi resistance in Atlantic salmon by using different densities of SNPs selected from a , K panel. By applying different genomic prediction approaches, we showed that as few as , SNPs were sufficient to increase the accuracy of EBV to a higher value than that obtained from pedigree-based methods. We found that the maximum increase in accuracy was obtained with , K SNPs when using, BLUP and Bayesian methods. Authors' contributions KC performed the data analysis, contributed with discussion and wrote the initial manuscript. RB contributed . . .
  

   

  

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