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Additive, dominance and epistasis effects were analyzed with ADAA (additive-dominance-epistasis) model.
We evaluated models accounting for additive, dominance, and first-order epistatic interactions (additive by additive, dominance by dominance, and additive by dominance).
Simple additive, dominance, and epistatic genetic components were found to be significant.
The among-genotypes component of variance estimates the total contribution of genetic variation, including additive, dominance, and epistatic components.
The coefficients for additive, dominance and pairwise epistatic effects for 7 commonly used generation means are given in Table 1.
For example, estimating the mean, additive, dominance, and 3 pairwise epistatic effects requires at least 6 generation means for estimation and 7 for hypothesis testing.
Similar(10)
However, effects of non-additive (dominance) genetic factors, non-random mating and cultural transmission have generally not been explored.
A long-standing controversy revolves around the relative importance of additive versus non-additive (dominance and epistatic) effects.
In practice, these assumptions do not necessarily apply: many populations have mixed origins, QTL and markers do not necessarily follow the same distributions (e.g., QTL loci are often subjected to selection) and non-additive (dominance and epistatic) genetic effects exist.
The results showed that the IL fitted the D-0 model, which was followed by a one additive-dominance major gene plus additive-dominance-epistasis polygene genetic model.
In addition, the PH and PLBH were quantitative traits fitting the E-0 model, namely two additive-dominance-epistasis major genes plus additive-dominance-epistasis polygene genetic model.
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