Table 1. Estimated variance components based on one MCMC run and $n=\mathrm{10,000}$ observations.

Prior	5 QTL		50 QTL
	${\sigma }_e^2$	${\sigma }_a^2$	${\sigma }_e^2$	${\sigma }_a^2$
Uncorrelated P1	0.503	0.488	0.486	0.510
Correlated P2	0.507	0.475	0.488	0.499
Adaptive P3	0.506	0.497	0.488	0.522
Adaptive P4	0.506	0.497	0.488	0.522
Simulated	0.500	0.487	0.500	0.489

${\sigma }_e^2$, residual variance; ${\sigma }_a^2$, additive genetic variance.