Genomic prediction of breeding values using previously estimated SNP variances

Table 3 Correlations between GEBV obtained with five different models in the scenario that used all training animals

Trait	Model	BayesC	RR-BLUP	BLUP-SSVS	BLUP-C
Protein	BSSVS	0.994	0.954	0.995	0.991
	BayesC		0.957	0.994	0.998
	RR-BLUP			0.954	0.972
	BLUP-SSVS				0.992
UD	BSSVS	0.993	0.962	0.991	0.992
	BayesC		0.960	0.992	0.997
	RR-BLUP			0.960	0.974
	BLUP-SSVS				0.992
SCS	BSSVS	0.996	0.978	0.996	0.995
	BayesC		0.977	0.996	0.998
	RR-BLUP			0.978	0.987
	BLUP-SSVS				0.995
IFL	BSSVS	0.998	0.927	0.996	0.996
	BayesC		0.925	0.996	0.998
	RR-BLUP			0.929	0.943
	BLUP-SSVS				0.996
DLO	BSSVS	0.998	0.937	0.998	0.996
	BayesC		0.938	0.997	0.998
	RR-BLUP			0.943	0.955
	BLUP-SSVS				0.997
LON	BSSVS	0.998	0.946	0.997	0.996
	BayesC		0.948	0.997	0.998
	RR-BLUP			0.954	0.964
	BLUP-SSVS				0.997

Correlations are computed within replicates and then averaged across replicates.

ISSN: 1297-9686