Table 3.

Comparison of True Breeding Values estimations

First author	Label	r	rank	bias	MSE
Shariati	BayesS_1	0.84	0.48	0.33	12.92
	BayesS_2	0.84	0.47	0.33	12.94
	BayesS_3	0.83	0.49	0.33	13.37
	BayesS_4	0.82	0.49	0.32	13.62
Ogutu	RR	0.83	0.52	0.45	5.55
	GBLUP_O	0.81	0.51	0.39	8.23
	LASSO_O	0.87	0.55	0.43	6.44
	LASSO_ad	0.88	0.60	0.37	9.94
	EN	0.87	0.52	0.44	5.86
	EN_ad	0.81	0.48	0.33	12.01
Wang	BayesA_W	0.86	0.61	0.38	9.07
	BayesB_W	0.89	0.66	0.38	9.12
	BayesCπ_W	0.88	0.65	0.39	9.00
	TABLUP	0.88	0.64	0.36	10.88
	GBLUP_W	0.77	0.48	0.46	4.98
Mucha	AM	0.59	0.37	0.40	5.93
	FM	0.47	0.44	0.13	43.01
	RM1	0.70	0.34	0.68	2.54
	RM2	0.70	0.34	0.65	2.68
Zeng	GBLUPa_Z	0.82	0.50	0.40	7.61
	GBLUPd_Z	0.81	0.49	0.40	7.59
	BayesB _W	0.89	0.66	0.38	9.22
	BayesCπ_W	0.89	0.66	0.39	8.84
Usai	LASSO_Uc	0.86	0.53	0.45	5.66
	LASSO_Uc1	0.86	0.62	0.37	9.54
	LASSO_Uc2	0.87	0.55	0.43	6.48
Schurink	BayesZ	0.87	0.63	0.39	5.20

(r=Pearson correlation between TBV and GEBV, rank=rank correlation of the best 10% TBV, bias = regression coefficient between TBV and GEBV, MSE= mean squared error of prediction of TBV by GEBV)