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Table 7 Estimated variance components for the real data example*

From: Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers

Model

σ a 2

σ d 2

σ a a 2

σ a d 2

σ d a 2

σ d d 2

σ e 2

M0

0.169

-

-

-

-

-

0.405

M1

0.171

0.030

-

-

-

-

0.378

M2

0.174

0.046

0.000

0.000

0.026

0.000

0.303

  1. * Variance components for each source of genetic variation: σ a 2 additive genetic, σ d 2 dominance, σ a a 2 additive × additive, σ a d 2 additive × dominance, σ d a 2 dominance × additive, σ d d 2 dominance × dominance; residual variance σ e 2 . M0 includes only additive genetic effects, M1 includes additive and dominance effects; M2 includes additive, dominance and pairwise epistatic effects.