Table 1.

Variance components of additive and dominance genetic effects for purebred and crossbred animals

Scenario	Breed	${\mathit{\sigma }}_{AP}^2$	${\mathit{\sigma }}_{AP,AC}$	${\mathit{\sigma }}_{AC}^2$	${\mathit{\sigma }}_D^2$	${\mathit{\sigma }}_e^2$	${\mathit{\sigma }}_{A{C}_{LY}}^2$	${\mathit{\sigma }}_{D_{LY}}^2$	${\mathit{\sigma }}_{e_{LY}}^2$
Nogen	L	0.99 (0.31)	0.17 (0.07)	0.05 (0.02)	–	10.82 (0.43)	0.05 (0.02)	–	7.35 (0.15)
	Y	1.07 (0.33)	0.15 (0.07)	0.05 (0.02)	–	8.96 (0.38)
Gen_AM	L	0.87 (0.22)	0.47 (0.10)	0.28 (0.07)	–	10.89 (0.38)	0.28 (0.07)	–	7.11 (0.15)
	Y	0.55 (0.20)	0.17 (0.10)	0.28 (0.07)	–	9.42 (0.33)
Gen_ADM	L	0.86 (0.21)	0.46 (0.10)	0.28 (0.06)	0.04 (0.03)	10.86 (0.38)	0.28 (0.06)	0.02 (0.01)	7.11 (0.15)
	Y	0.54 (0.18)	0.17 (0.09)	0.28 (0.06)	0.06 (0.05)	9.35 (0.33)

Numbers in brackets are the standard errors of the corresponding parameters

${\mathit{\sigma }}_{AP}^2$ is the additive genetic variance for purebred performance; ${\mathit{\sigma }}_{AP,AC}$ is the additive genetic covariance between purebred and crossbred performance; ${\mathit{\sigma }}_{AC}^2$ is the additive genetic variance for crossbred performance; ${\mathit{\sigma }}_D^2$ is the dominance genetic variance for either purebred animals; ${\mathit{\sigma }}_e^2$ is the residual variance for purebred animals; ${\mathit{\sigma }}_{A{C}_{LY}}^2$ is the additive genetic variance for the F1 crossbred animals LY; ${\mathit{\sigma }}_{D_{LY}}^2$ is the dominance genetic variance for the F1 crossbred animals LY; and ${\mathit{\sigma }}_{e_{LY}}^2$ is the residual variance for the F1 crossbred animals LY

L Landrace, Y Yorkshire breeds