Table 4 Genomic predictive abilitya for three modelsb from a fivefold cross-validation analysis for the pig datasetc.

From: Including dominance effects in the prediction model through locus-specific weights on heterozygous genotypes can greatly improve genomic predictive abilities

Trait

CADM

ADM

AM

T1

0.562A ± 0.006

0.356B ± 0.007

0.356B ± 0.007

T2

0.719A ± 0.003

0.682B ± 0.003

0.682B ± 0.003

T3

0.688A ± 0.004

0.588C ± 0.004

0.595B ± 0.004

  1. aPredictive ability was measured as the correlations between estimated genetic values (additive genetic values or additive + dominance genetic values) and adjusted phenotypes.
  2. bCADM combining additive and dominance effects, ADM additive and dominance effects, AM additive effects only.
  3. cThe data concealed the actual trait names but used the symbols T1, T2, and T3.
  4. A–CWithin a row, estimates without a common superscript differ significantly (P < 0.01), according to bootstrap and Bonferroni’s methods test.