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Table 3 Regression coefficients of corrected phenotypes (y c ) on predictions for the validation animals for different models of analysis

From: Genomic prediction using models with dominance and imprinting effects for backfat thickness and average daily gain in Danish Duroc pigs

Trait

Model

Regression coefficienta

RegGTV

RegGBV

DG

A

0.791 ± 0.082

0.791 ± 0.082

 

AD

0.824 ± 0.081

0.872 ± 0.088

 

AI

0.747 ± 0.082

0.802 ± 0.083

 

ADI

0.796 ± 0.081

0.850 ± 0.090

BF

A

0.732 ± 0.041

0.732 ± 0.041

 

AD

0.738 ± 0.040

0.764 ± 0.042

 

AI

0.722 ± 0.041

0.733 ± 0.041

 

ADI

0.724 ± 0.040

0.762 ± 0.042

  1. DG, average daily gain; BF, backfat thickness; A, model includes the additive effect; AD, model includes additive and dominance effects; AI, model includes additive and imprinting effects; ADI, full model includes additive, dominance and imprinting effects
  2. aRegression coefficients of the corrected phenotypes on predicted total genetic values (regGTV) ± standard errors and regression coefficients of the corrected phenotypes on estimated breeding values (regGBV) ± standard errors
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Genetics Selection Evolution

ISSN: 1297-9686