Table 4. Variance components and proportion of phenotypic variance (${\sigma }_{\text{P}}^2$) explained by additive, dominance, and imprinting effects of the real data in the Large White population.

Trait	Model	Variance Components					Variance Explained
		${\sigma }_{\text{e}}^2$	${\sigma }_{\text{L}}^2$	${\sigma }_{Aa}^2$	${\sigma }_{Dd}^2$	${\sigma }_{Ii}^2$	${\sigma }_{Aa}^2$/${\sigma }_{\text{P}}^2$ *	${\sigma }_{Dd}^2$/${\sigma }_{\text{P}}^2$	${\sigma }_{Ii}^2$/${\sigma }_{\text{P}}^2$
NT	MA	0.637 ± 0.032		0.333 ± 0.032			0.343 ± 0.029
	MAD	0.578 ± 0.041		0.299 ± 0.037	0.094 ± 0.043		0.307 ± 0.034	0.097 ± 0.044
	MADI	0.563 ± 0.040		0.300 ± 0.038	0.103 ± 0.043	0.010 ± 0.009	0.307 ± 0.035	0.105 ± 0.043	0.010 ± 0.009
BF	MA	1.086 ± 0.090	0.371 ± 0.084	0.931 ± 0.093			0.390 ± 0.034
	MAD	0.927 ± 0.105	0.307 ± 0.085	0.848 ± 0.105	0.320 ± 0.125		0.353 ± 0.039	0.133 ± 0.051
	MADI	0.834 ± 0.115	0.302 ± 0.084	0.852 ± 0.104	0.353 ± 0.134	0.071 ± 0.041	0.353 ± 0.039	0.146 ± 0.055	0.029 ± 0.017
DG	MA	1,867 ± 129	282 ± 114	682 ± 100			0.241 ± 0.033
	MAD	1,715 ± 144	234 ± 108	590 ± 120	300 ± 157		0.208 ± 0.040	0.106 ± 0.055
	MADI	1,659 ± 149	230 ± 108	557 ± 129	370 ± 178	34 ± 29	0.195 ± 0.043	0.130 ± 0.062	0.012 ± 0.010

${\sigma }_e^2$, residual variance; ${\sigma }_{\text{L}}^2$, common litter variance; ${\sigma }_{Aa}^2$, total additive variance; ${\sigma }_{Dd}^2$, total dominance variance; ${\sigma }_{Ii}^2$, total imprinting variance; ${\sigma }_{Aa}^2$/${\sigma }_{\text{P}}^2$*, narrow-sense heritability; NT, number of teats; BF, backfat; DG, average daily gain from birth to ∼120 kg; MA, model including only additive effects; MAD, model including additive and dominance effects; MADI, model including additive, dominance, and imprinting effects.