Table 2. Mean squared error (MSE) of the estimated variance components.

Prior	5 QTL			50 QTL
	MSE ${\sigma }_e^2$	MSE ${\sigma }_a^2$	ρ	MSE ${\sigma }_e^2$	MSE ${\sigma }_a^2$	ρ
Uncorrelated P1	0.145	0.074	0.760	0.157	0.080	0.747
Correlated P2	0.015	0.021	0.839	0.007	0.013	0.909
Adaptive P3	0.055	0.065	0.692	0.057	0.100	0.739
Adaptive P4	0.014	0.072	0.682	0.014	0.107	0.730

Correlation (ρ) between the predicted and simulated genetic values; 100-fold cross-validation (size of training set $n=100$). ${\sigma }_e^2$, residual variance; ${\sigma }_a^2$, additive genetic variance.