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Table 1 Accuracies for sea lice (Caligus rogercresseyi) resistance obtained using different models and different marker densities

From: The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar)

Marker density

P-BLUP

G-BLUP

Bayesian Lasso

Bayes C

0

0.41

–

–

–

500

–

0.45

0.47

0.45

1000

–

0.48

0.49

0.48

10,000

–

0.50

0.50

0.50

25,000

–

0.50

0.50

0.50

50,000

–

0.50

0.50

0.49

  1. P-BLUP accuracy only applies to 0 markers as it does not use marker information
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Genetics Selection Evolution

ISSN: 1297-9686