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Table 3 Empirical prediction accuracies measured by Pearson’s correlation between pseudo-phenotype and direct genomic breeding values [r(yi,DGV)] and standard deviation (SD) for rib eye area (REA), backfat thickness (BF) and hot carcass weight (HCW) obtained with different models and the average of 5-fold cross-validation

From: Genomic prediction of breeding values for carcass traits in Nellore cattle

Trait

Type

r(yi,DGV)a ± SD

BRR

BC

BL

REA (cm2)

Y*

0.46 ± 0.056

0.46 ± 0.057

0.47 ± 0.056

EBV

0.36 ± 0.057

0.35 ± 0.057

0.36 ± 0.059

BFT (mm)

Y*

0.21 ± 0.029

0.23 ± 0.031

0.22 ± 0.029

EBV

0.25 ± 0.026

0.25 ± 0.027

0.25 ± 0.025

HCW (kg)

Y*

0.37 ± 0.053

0.36 ± 0.058

0.37 ± 0.056

EBV

0.33 ± 0.041

0.33 ± 0.044

0.33 ± 0.043

  1. aFor the Y* as response variable, r(yi,DGV) was divided by the square root of heritability of the trait
  2. Y* phenotype adjusted for fixed effects, EBV estimated breeding value, y i pseudo-phenotype, BRR bayesian ridge regression, BC Bayes C, BL Bayesian Lasso