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. 2012 Sep 4;13:452. doi: 10.1186/1471-2164-13-452

Table 3.

Prediction accuracies(r(g,g^))and their standard deviations (s.d.) for different WGP models

Trait
h2
RR-BLUP
LASSO
Elastic net
RKHS
BayesB
    r(g,g^) s.d. r(g,g^) s.d. r(g,g^) s.d. r(g,g^) s.d. r(g,g^) s.d.
Dry matter yield
0.93
0.61
0.07
0.51
0.11
0.56
0.08
0.61
0.07
0.59
0.08
Plant height
0.97
0.57
0.09
0.45
0.11
0.48
0.11
0.57
0.09
0.56
0.08
Lignin content
0.88
0.69
0.07
0.60
0.08
0.60
0.10
0.68
0.07
0.58
0.09
Dopamine
0.97
0.74
0.06
0.79
0.06
0.79
0.06
0.74
0.07
0.75
0.06
Ribitol
0.95
0.49
0.12
0.61
0.10
0.63
0.10
0.50
0.10
0.50
0.11
719700-204 0.96 0.79 0.06 0.82 0.05 0.82 0.05 0.80 0.05 0.80 0.08

Results are averaged over all 100 cross-validation runs. For the agronomic traits, h2is the heritability on a line-mean basis and for the metabolites, the repeatability is shown.

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