Table 1

Accuracy of predictions of the six models

Model

Pearson correlation

Root mean squared error


5-fold cross-validation

TGV

TBV

TGV

TBV


Mean

Min

Max


Elastic Net

0.5071

0.4486

0.5308

0.9233

0.8659

2.2276

3.4618


Lasso

0.5062

0.4466

0.5293

0.9240

0.8705

2.1642

3.5478


Adaptive Lasso

0.4951

0.4454

0.5152

0.9195

0.8759

2.0757

3.9911


RR

0.4717

0.4050

0.5037

0.8246

0.8213

2.9046

3.3767


RR-BLUP

0.4628

0.3905

0.4951

0.8455

0.8315

2.9894

3.6487


Adaptive Elastic Net

0.4285

0.4013

0.4667

0.8968

0.8112

2.3404

4.2325


Pearson correlation between GEBVs and (1) the observed values from the 5-fold cross-validation, (2) the true expectation of the phenotypes of the 1000 non-phenotyped candidates (TGV), (3) the true expectation of the phenotypes of the progenies of the 1000 non-phenotyped candidates (TBV); and the root mean squared error with respect to TGV and TBV.

Ogutu et al. BMC Proceedings 2012 6(Suppl 2):S10   doi:10.1186/1753-6561-6-S2-S10

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