Table 1.

Estimates of residual variance^a (${\mathit{\sigma }}_{\mathit{e}}^2$), additive genetic variance^b (${\mathit{V}}_{\mathit{A}}^{\mathit{\prime }}$) and heritability^c (${\mathit{h}}^2$) with their standard errors (±SE) for SRS resistance phenotypes DAYS and STATUS using different models^d

Model	Trait
	Days			Status
	${\mathit{\sigma }}_{\mathit{e}}^2$	${\mathit{V}}_{\mathit{A}}^{\mathit{\prime }}$	${\mathit{h}}^2\pm \mathit{S}\mathit{E}$	${\mathit{V}}_{\mathit{A}}^{\mathit{\prime }}$	${\mathit{h}}^2\pm \mathit{S}\mathit{E}$
PBLUP	73.079	16.640	0.185 ± 0.038	0.358	0.260 ± 0.037
GBLUP	65.323	24.295	0.271 ± 0.041	0.661	0.393 ± 0.040
BAYESC	65.454	17.392	0.210 ± 0.031	0.442	0.303 ± 0.054
PBAYESC	65.348	19.318	0.228 ± 0.032	0.417	0.290 ± 0.053
BLASSO	64.963	18.037	0.217 ± 0.030	0.439	0.300 ± 0.063
PBLASSO	65.118	19.530	0.231 ± 0.034	0.374	0.269 ± 0.052

^aResidual variance for binary survival STATUS was set to 1

^{b, c}Total additive genetic variance ${\mathit{V}}_{\mathit{A}}^{\mathit{\prime }}$: PBLUP and GBLUP was ${\mathit{\sigma }}_{\mathit{u}}^2$; BAYESC and BLASSO was $2{\sigma }_a^2\pi \sum p_i{q}_i$; PBAYESC and PBLASSO was $2{\sigma }_a^2\pi \sum p_i{q}_i+{\sigma }_u^2$

^cHeritability ${\mathit{h}}^2$ : PBLUP and GBLUP $\frac{{\sigma }_u^2}{{\sigma }_u^2+{\sigma }_e^2}$; BAYESC, BLASSO, PBAYESC and PBLASSO $\frac{V_A^{\prime }}{V_A^{\prime }+{\sigma }_e^2}$

^dModels with pedigree: pedigree based BLUP (PBLUP), genomic BLUP (GBLUP) and Bayesian estimation methods with additive SNP effects and polygenic pedigree (PBAYESC and PBLASSO); Models with only additive SNP effects: Bayesian estimation methods (BAYESC and BLASSO)