Table 2.

Model fits of different genetic covariance models and Pearson correlation between GEBV and fitted value and between GEBV and true breeding value (TBV).

		Residual		Correlation
Model for gi	AIC	variance§	θ	Fitted value$	TBV#
Independent	6789.1	51.89
Ridge Regression (RR)	6418.5	28.17		0.734	0.889
Spatial models
Linear	6425.8	12.00		0.974	0.880
Quadratic	6418.5	28.17		0.734	0.889
Power	6428.9	12.16	0.99	0.974	0.879
Exponential	6428.5	11.48	216.52	0.977	0.879
Gaussian	6420.5	28.08	124.59	0.737	0.889
Spherical	6427.8	11.96	959.97	0.974	0.880

^§ The error variance was pooled with that for v_i into a single residual variance.

^$ The Pearson correlation between GEBV and fitted values (y_i600) of the phenotyped individuals.

^# The Pearson correlation between GEBV and true breeding values (TBV) of the non- phenotyped individuals.