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Table 2 Heritability of traits simulated under additive or non-additive gene action

From: Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes

Gene action

Number of QTN

\(h_{a}^{2}\)

\(h_{d}^{2}\)

\(h_{I}^{2}\)

\(H_{{\mathbf{B}}}^{2}\)

Purely additive

100

0.30

0.00

0.00

0.30

1000

0.30

0.00

0.00

0.30

Non-additive

100

0.10

0.10

0.50

0.70

1000

0.02

0.02

0.68

0.70

  1. Non-additive: mixture of additive, dominance and epistatic effects
  2. \(h_{a}^{2}\): additive heritability; \(h_{d}^{2}\): dominance heritability; \(h_{I}^{2}\): proportion of epistatic variation related to phenotypic variation; \(H_{{{B}}}^{2}\): broad sense heritability