Genome-wide association analysis and accuracy of genome-enabled breeding value predictions for resistance to infectious hematopoietic necrosis virus in a commercial rainbow trout breeding population

Table 3 Accuracy and bias of breeding value predictions for IHNV resistance using three methods

Offspring from year-class 2016 families from the nucleus breeding population of Clear Springs Foods, Inc.
^aAnimal breeding value predictions were performed using pedigree-based BLUP (PBLUP), single-step GBLUP (ssGBLUP) and weighted ssGBLUP (wssGBLUP)
^bDiscrete data survival days after disease challenge (DAYS). The accuracy and bias of animal merit predictions for DAYS were estimated using five-fold cross-validation analysis with 10 replications
^cBinary data survival status (STATUS). The accuracy and bias of animal merit predictions for STATUS were estimated using five-fold cross-validation analysis with 10 replications
^dAccuracy of breeding value predictions was estimated as the correlation of phenotypic records \(y\) (DAYS or STATUS) with the animal merit predictions (EBV or GEBV) divided by the square root of heritability \(\left( {h_{days}^{2} = 0.23; h_{status}^{2} = 0.25} \right)\)
^eBias of breeding value predictions was estimated as the regression coefficient of phenotypic records \(y\) (DAYS or STATUS) on the animal merit predictions (EBV or GEBV)

ISSN: 1297-9686