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

Table 4 Average accuracy of genetic value prediction depending on broad-sense heritability H²*

Simulation without epistasis
Model	H² = 0.5	H² = 0.3	H² = 0.1	H² = 0.5 best 10%
M0	0.958	0.940	0.859	0.786
M1	0.978	0.953	0.844	0.774
M2	0.959	0.897	0.640	0.748
Simulation with epistasis
Model	H² = 0.5	H² = 0.3	H² = 0.1	H² = 0.5 best 10%
M0	0.741	0.707	0.581	0.618
M1	0.781	0.736	0.582	0.621
M2	0.833	0.718	0.339	0.598

* fBayesB was used in the 23-QTL scenario with 5 227 markers. M0 includes only additive genetic effects, M1 includes additive and dominance effects, M2 includes additive, dominance and pairwise epistatic effects. In case of "best 10%" the accuracy of additive genetic value prediction was determined based on 10% animals with best predicted additive genetic value.

ISSN: 2730-6844