Table 3.

Intercept and regression coefficient of true breeding value on predicted genomic breeding value and coefficient of determination for different estimation methods for 5-fold cross validation in training population.

		Ridge-R	Bayes-Ridge	BayesA	BayesB	PCR-Normal	PCR-t	PCR-Lasso	PCR-Eigen
105	b0	0.88 ± 0.03	0.86 ± 0.04	0.88 ± 0.03	0.86 ± 0.03	0.83 ± 0.04	0.85 ± 0.04	0.85 ± 0.04	0.66 ± 0.04
	b1	1.22 ± 0.04	1.002 ± 0.04	1.05 ± 0.04	1.05 ± 0.05	1.004 ± 0.04	1.09 ± 0.07	1.2 ± 0.08	0.76 ± 0.03
	R2	0.48 ± 0.02	0.49 ± 0.02	0.50 ± 0.02	0.50 ± 0.03	0.49 ± 0.02	0.49 ± 0.03	0.48 ± 0.03	0.46 ± 0.02
60	b0	0.85 ± 0.05	0.84 ± 0.05	0.83 ± 0.06	0.84 ± 0.05	0.78 ± 0.05	0.79 ± 0.05	0.81 ± 0.05	0.63 ± 0.05
	b1	1.141 ± 0.05	0.964 ± 0.03	1.007 ± 0.04	1.09 ± 0.05	0.962 ± 0.03	1.05 ± 0.05	1.09 ± 0.05	0.706 ± 0.03
	R2	0.46 ± 0.03	0.47 ± 0.03	0.48 ± 0.03	0.48 ± 0.04	0.47 ± 0.03	0.48 ± 0.04	0.46 ± 0.03	0.43 ± 0.03
15	b0	0.94 ± 0.08	0.92 ± 0.08	0.92 ± 0.08	0.90 ± 0.07	0.87 ± 0.08	0.89 ± 0.08	0.90 ± 0.08	0.79 ± 0.1
	b1	0.97 ± 0.1	0.85 ± 0.07	1.02 ± 0.1	0.93 ± 0.06	0.85 ± 0.07	1.007 ± 0.09	1.08 ± 0.1	0.58 ± 0.07
	R2	0.35 ± 0.04	0.36 ± 0.05	0.36 ± 0.05	0.38 ± 0.05	0.36 ± 0.05	0.36 ± 0.05	0.35 ± 0.05	0.30 ± 0.05

b0, Intercept; b1, regression coefficient; R², determination coefficient.