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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).

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

  

Residual

 

Correlation

Model for g i

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

  1. § The error variance was pooled with that for v i into a single residual variance.
  2. $ The Pearson correlation between GEBV and fitted values (yi600) of the phenotyped individuals.
  3. # The Pearson correlation between GEBV and true breeding values (TBV) of the non- phenotyped individuals.
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BMC Proceedings

ISSN: 1753-6561

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