Table 6.

Comparison of predictive abilities based on GBLUP and Bayesian Power Lasso models.

		h	LSO	2-fold	5-fold	10-fold
Grain protein content	GBLUP	0.75	−0.01	0.43	0.49	0.50
	Bayesian	0.71	−0.02	0.44	0.48	0.50
Zeleny sedimentation	GBLUP	0.88	0.64	0.76	0.77	0.78
	Bayesian	0.92	0.70	0.80	0.81	0.82
Test weight	GBLUP	0.90	0.40	0.66	0.68	0.71
	Bayesian	0.89	0.40	0.66	0.69	0.71
Falling number	GBLUP	0.87	0.51	0.67	0.67	0.69
	Bayesian	0.87	0.51	0.68	0.68	0.69
Thousand-kernel weight	GBLUP	0.90	0.37	0.59	0.63	0.65
	Bayesian	0.87	0.38	0.59	0.63	0.66

Predictive abilities are presented as correlations between phenotypes corrected for fixed effects and GEBVs. Maximum correlation, h, is the square root of the narrow sense genomic heritability. Cross-validations: LSO: Leave-Set-Out, and k-fold.