Comparison of analyses of the XVth QTLMAS common dataset III: Genomic Estimations of Breeding Values

BMC Proceedings

Table 2 Comparison of True Genomic Values estimations

First author	Label	r	rank	bias	MSE
Shariati	BayesS_1	0.86	0.53	0.89	7.51
	BayesS_2	0.86	0.53	0.89	7.52
	BayesS_3	0.86	0.53	0.88	7.85
	BayesS_4	0.85	0.55	0.87	8.00
Ogutu	RR	0.85	0.54	1.19	8.44
	GBLUP_O	0.90	0.52	1.11	5.55
	LASSO_O	0.92	0.63	1.09	4.67
	LASSO_ad	0.92	0.62	1.02	4.30
	EN	0.92	0.62	1.23	4.96
	EN_ad	0.90	0.40	0.97	5.48
Wang	BayesA_W	0.92	0.65	1.06	4.15
	BayesB_W	0.93	0.70	1.05	3.66
	BayesCπ_W	0.93	0.70	1.06	3.63
	TABLUP	0.91	0.68	0.97	4.59
	GBLUP_W	0.78	0.37	1.20	11.71
Mucha	AM	0.61	0.36	1.06	17.57
	FM	0.49	0.32	0.35	43.17
	RM1	0.70	0.38	1.77	16.65
	RM2	0.71	0.38	1.69	16.30
Zeng	GBLUPa_Z	0.82	0.53	1.04	8.94
	GBLUPd_Z	0.81	0.52	1.04	9.46
	BayesB _W	0.93	0.71	1.05	3.63
	BayesCπ_W	0.94	0.72	1.07	3.41
Usai	LASSO_Uc	0.92	0.62	1.25	5.04
	LASSO_Uc1	0.90	0.64	1.02	5.30
	LASSO_Uc2	0.92	0.63	1.09	4.66
Schurink	BayesZ	0.90	0.60	1.06	5.20

r=Pearson correlation between TGV and GEBV, rank=rank correlation of the best 10% TGV, bias = regression coefficient between TGV and GEBV, MSEP= mean squared error of prediction of TGV by GEBV.

ISSN: 1753-6561