. 2017 Jan 31;18:121. doi: 10.1186/s12864-017-3487-y

Table 3.

Mean reliability and bias of estimated breeding value (EBV) and genomic EBV (GEBV) for SRS survival DAYS and STATUS with their standard errors (±SE) using pedigree based and genomic models

Models^a	Trait
	Days		Status
	Reliability ± SE ^b	Bias ± SE ^c	Reliability ± SE	Bias ± SE
PBLUP	0.342 ± 0.080	0.960 ± 0.146	0.201 ± 0.038	0.304 ± 0.042
GBLUP	0.414 ± 0.065	0.949 ± 0.097	0.256 ± 0.026	0.276 ± 0.026
SNPBLUP	0.429 ± 0.069	1.026 ± 0.110	0.256 ± 0.032	1.365 ± 0.096
PSNPBLUP	0.368 ± 0.069	0.814 ± 0.097	0.256 ± 0.039	0.798 ± 0.073
BAYESC	0.424 ± 0.066	0.961 ± 0.098	0.261 ± 0.026	0.287 ± 0.028
PBAYESC	0.389 ± 0.071	0.916 ± 0.106	0.256 ± 0.031	0.294 ± 0.029
BLASSO	0.424 ± 0.066	0.955 ± 0.097	0.262 ± 0.026	0.287 ± 0.026
PBLASSO	0.390 ± 0.072	0.937 ± 0.112	0.256 ± 0.029	0.285 ± 0.033

^aModels with pedigree: pedigree based BLUP (PBLUP), genomic BLUP (GBLUP), marker-effects BLUP with polygenic pedigree (PSNPBLUP) and Bayesian estimation methods with marker-effects and polygenic pedigree (PBAYESC and PBLASSO); Models with only marker-effects: market-effects BLUP (SNPBLUP) and Bayesian estimation methods (BAYESC and BLASSO)

^bThe effective number of SNPs used was 49 684 from the 50 K SNP array