The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs

Table 1 Estimates of proportion of litter variance (lit²), direct heritability (\(h_a^2\)), maternal heritability (\(h_m^2\)), and correlation between direct and maternal additive genetic effects (r_am) using models incorporating pedigree-based relationship matrix¹

Trait²	Model³	\({\mathbf l\mathbf i\mathbf t}^{\mathbf2}\)	\(\boldsymbol h_{\mathbf a}^{\mathbf2}\)	\(\boldsymbol h_{\mathbf m}^{\mathbf2}\)	r_am
T_4/4	LM	0.020(0.001)	0.020(0.001)	0.019(0.001)	0.289(0.049)
	LG	0.028(0.001)	0.022(0.001)	0.035(0.002)	0.436(0.050)
	PM	0.031(0.002)	0.021(0.001)	0.039(0.002)	0.485(0.051)
T_2/4	LM	0.020(0.001)	0.009(0.001)	0.022(0.001)	0.308(0.057)
	LG	0.029(0.001)	0.011(0.001)	0.039(0.002)	0.429(0.060)
	PM	0.032(0.002)	0.009(0.001)	0.042(0.002)	0.523(0.062)
T_2/2	LM	0.010(0.001)	0.008(0.001)	0.011(0.001)	0.286(0.075)
	LG	0.015(0.001)	0.011(0.001)	0.019(0.001)	0.362(0.077)
	PM	0.017(0.001)	0.011(0.001)	0.020(0.001)	0.439(0.081)

¹Mean and standard error
²T_4/4: trait with h_a² = 0.04, h_m² = 0.04 and lit² = 0.04, T_2/4: trait with h_a² = 0.02, h_m² = 0.04 and lit² = 0.04; T_2/2: trait with h_a² = 0.02, h_m² = 0.02 and lit² = 0.02, in liability scale
³LM linear model, LG logit model, PM probit model. For LM, the estimates were in observed scale

ISSN: 2049-1891