Genome-wide selection by mixed model ridge regression and extensions based on geostatistical models

BMC Proceedings

Table 3 Model fits of different genetic covariance models with random effects for father and mother of crosses and for the crosses themselves and Pearson correlation between GEBV and fitted value and between GEBV and true breeding value (TBV).

		Residual		Father^&	Mother^&	Correlation
Model for g_i	AIC	variance^§	θ			Fitted value^$	TBV^#
Independent	6605.1	40.77		7.16	6.16	0.481	0.649
Ridge Regression (RR)	6420.2	28.18		0.61	0	0.734	0.889
Spatial models
Linear	6427.2	12.17		1.08	0	0.973	0.879
Quadratic	6420.2	28.18		0.61	0	0.734	0.889
Power	6430.3	12.35	0.99	1.20	0	0.973	0.878
Exponential	6429.9	11.62	208.63	1.11	0	0.976	0.878
Gaussian	6422.2	28.07	118.46	0.62	0	0.737	0.889
Spherical	6429.2	12.17	802.96	1.09	0	0.973	0.879

^§ The error variance was pooled with that for v_i into a single residual variance.
^& The estimate of the variance for cross effects was zero in all models.
^$ 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.

ISSN: 1753-6561