. 2016 Sep 13;48(1):67. doi: 10.1186/s12711-016-0245-6

Table 1.

Estimates of variance components from four models of analysis and their proportions relative to the phenotypic variance

Trait	Parameter^a	ADI	AD	AI	A
DG	$σ_{l}^{2}$	390 ± 81	397 ± 78	400 ± 84	424 ± 84
	$σ_{a}^{2}$	803 ± 78	828 ± 74	891 ± 74	896 ± 74
	$σ_{d}^{2}$	208 ± 46	225 ± 52
	$σ_{i}^{2}$	66 ± 23		88 ± 24
	$σ_{e}^{2}$	3093 ± 97	3138 ± 94	3208 ± 95	3248 ± 97
	$l^{2}$	0.086 ± 0.017	0.087 ± 0.019	0.087 ± 0.017	0.093 ± 0.018
	$h_{a}^{2}$	0.176 ± 0.016	0.181 ± 0.015	0.194 ± 0.014	0.196 ± 0.014
	$h_{d}^{2}$	0.046 ± 0.009	0.049 ± 0.009
	$h_{i}^{2}$	0.014 ± 0.005		0.019 ± 0.004
	$e^{2}$	0.678 ± 0.022	0.684 ± 0.022	0.700 ± 0.021	0.711 ± 0.021
BF	$σ_{l}^{2}$	0.059 ± 0.019	0.066 ± 0.016	0.069 ± 0.018	0.070 ± 0.019
	$σ_{a}^{2}$	0.341 ± 0.018	0.342 ± 0.018	0.350 ± 0.018	0.352 ± 0.017
	$σ_{d}^{2}$	0.045 ± 0.012	0.046 ± 0.010
	$σ_{i}^{2}$	0.015 ± 0.005		0.015 ± 0.005
	$σ_{e}^{2}$	0.657 ± 0.023	0.664 ± 0.021	0.677 ± 0.021	0.689 ± 0.021
	$l^{2}$	0.053 ± 0.017	0.059 ± 0.017	0.062 ± 0.019	0.063 ± 0.018
	$h_{a}^{2}$	0.305 ± 0.014	0.306 ± 0.013	0.315 ± 0.013	0.317 ± 0.013
	$h_{d}^{2}$	0.040 ± 0.009	0.041 ± 0.009
	$h_{i}^{2}$	0.013 ± 0.005		0.015 ± 0.005
	$e^{2}$	0.588 ± 0.020	0.594 ± 0.021	0.608 ± 0.020	0.621 ± 0.020

DG, average daily gain; BF, backfat thickness; ADI, full model includes additive, dominance and imprinting effects; AD, model includes additive and dominance effects; AI, model includes additive and imprinting effects; A, model includes the additive effect

^aVariance components ± posterior standard deviations ( $σ_{l}^{2}$ : litter effect, $σ_{a}^{2}$ : additive effect, $σ_{d}^{2}$ : dominance effect, $σ_{i}^{2}$ : imprinting effect, $σ_{e}^{2}$ : residual effect) and their proportions to the sum of variance components in the model ± posterior standard deviations ( $l^{2}$ : litter effect, $h_{a}^{2}$ : additive genetic, $h_{d}^{2}$ : dominance effect, $h_{i}^{2}$ : imprinting effect, $e^{2}$ : residual effect)