Table 2.

Summary of prediction accuracies of the EBLUPs for BLeme and BLmat, AIC values for univariate and bivariate models, and between-trait correlations of total genetic effects $({\rho }_g)$, residual errors $({\rho }_e)$, and raw phenotypic data $(r_{\mathit{raw}})$

	Univariate			Bivariate
	Accuracy		AIC	Accuracy		AIC	${\rho }_g$	${\rho }_e$	$r_{\mathit{raw}}$
Dataset	BLeme	BLmat		BLeme	BLmat
HS21	0.66	0.86	5917	0.63	0.89	5629	0.57	0.81	0.72
YK21	0.89	0.86	5600	0.89	0.87	5204	0.85	0.72	0.80
WN22	0.94	0.90	2660	0.95	0.91	2599	0.75	0.34	0.55
HS22	0.94	0.96	2601	0.94	0.96	2533	0.62	0.54	0.61
RS22	0.89	0.88	486	0.89	0.90	425	0.74	0.56	0.64
YK22	0.95	0.95	2289	0.96	0.96	2114	0.91	0.68	0.83
WN23	0.49	0.52	806	0.50	0.52	692	0.69	0.50	0.53
HS23	0.67	0.92	824	0.74	0.93	743	0.62	0.32	0.50
RS23	0.86	0.83	4478	0.86	0.82	4238	0.74	0.69	0.68
YK23	0.67	0.82	4584	0.67	0.84	4503	0.49	0.50	0.58