Table 6.

Genetic parameters for maternal sow traits where additive genetic variances (${\sigma }_a^2$) estimated with ${\mathbf{A}}^{-1}$ are lower but not significantly than with ${\mathbf{H}}_{\mathbf{D}\mathbf{I}\mathbf{R}\mathbf{E}\mathbf{C}\mathbf{T}}^{-1}$, with permanent environmental variance (${\sigma }_{\mathrm{p}\mathrm{e}}^2$), sire variance (${\sigma }_{\mathrm{s}\mathrm{i}\mathrm{r}\mathrm{e}}^2$), and residual variance (${\sigma }_e^2$) estimates included for the calculation of repeatability (r) and heritability ($h^2$), with standard errors (± SE)1.

Trait	Method	${\sigma }_a^2$	${\sigma }_{\mathrm{p}\mathrm{e}}^2$	${\sigma }_{\mathrm{s}\mathrm{i}\mathrm{r}\mathrm{e}}^2$	${\sigma }_e^2$	r	$h^2$	-2LogL difference*
LBW	${\mathbf{A}}^{-1}$	13,535 ± 688	3,552 ± 361	—	14,172 ± 129	0.55 ± 0.01	0.43 ± 0.02	1,201
	${\mathbf{H}}_{\mathbf{D}\mathbf{I}\mathbf{R}\mathbf{E}\mathbf{C}\mathbf{T}}^{-1}$	14,284 ± 647	4,247 ± 210	—	14,268 ± 130	0.57 ± 0.01	0.44 ± 0.01	120
	${\mathbf{H}}_{\mathbf{M}\mathbf{E}\mathbf{T}\mathbf{A}}^{-1}$	14,428 ± 699	5,176 ± 194	—	14,281 ± 130	0.58 ± 0.01	0.43 ± 0.01	0
	${\mathbf{H}}_{\mathbf{A}\mathbf{P}\mathbf{Y}}^{-1}$	14,140 ± 695	5,195 ± 199	—	14,278 ± 130	0.58 ± 0.01	0.42 ± 0.01	32

1LBW, litter birth weight; ${\mathbf{A}}^{-1}$, inverted pedigree relationship matrix; ${\mathbf{H}}_{\mathbf{D}\mathbf{I}\mathbf{R}\mathbf{E}\mathbf{C}\mathbf{T}}^{-1}$, ${\mathbf{G}}^{-1}$ inverted from the full genomic relationship matrix (G); ${\mathbf{H}}_{\mathbf{M}\mathbf{E}\mathbf{T}\mathbf{A}}^{-1}$, ${\mathbf{G}}^{-1}$ inverted from the full G with metafounder included in ${\mathbf{A}}^{-1}$; ${\mathbf{H}}_{\mathbf{A}\mathbf{P}\mathbf{Y}}^{-1}$, ${\mathbf{G}}^{-1}$ approximation based on recursion of core animals in G.

*Difference between maximum likelihood function of the model fitted and the lowest value obtained for the trait (LBW: 423,684), where a smaller value indicates a better fit.