Table 1.

Accuracy of predictions of the six models

Model	Pearson correlation					Root mean squared error
	5-fold cross-validation			TGV	TBV	TGV	TBV
	Mean	Min	Max
Elastic Net	0.5071	0.4486	0.5308	0.9233	0.8659	2.2276	3.4618
Lasso	0.5062	0.4466	0.5293	0.9240	0.8705	2.1642	3.5478
Adaptive Lasso	0.4951	0.4454	0.5152	0.9195	0.8759	2.0757	3.9911
RR	0.4717	0.4050	0.5037	0.8246	0.8213	2.9046	3.3767
RR-BLUP	0.4628	0.3905	0.4951	0.8455	0.8315	2.9894	3.6487
Adaptive Elastic Net	0.4285	0.4013	0.4667	0.8968	0.8112	2.3404	4.2325

Pearson correlation between GEBVs and (1) the observed values from the 5-fold cross-validation, (2) the true expectation of the phenotypes of the 1000 non-phenotyped candidates (TGV), (3) the true expectation of the phenotypes of the progenies of the 1000 non-phenotyped candidates (TBV); and the root mean squared error with respect to TGV and TBV.