From: Genomic prediction based on data from three layer lines using non-linear regression models
 | Training data | ||||||
---|---|---|---|---|---|---|---|
Model | B1 | B2 | W1 | B1 + B2 | B1 + W1 | B2 + W1 | B1 + B2 + W1 |
GBLUP1 | 0.322 | 0.182 | -0.033 | 0.316 | 0.306 | 0.149 | 0.304 |
RRPCA1 | 0.286 | 0.147 | 0.064 | 0.280 | 0.279 | 0.156 | 0.276 |
MTGBLUP | 0.282 | 0.194 | -0.037 | 0.293 | 0.274 | 0.190 | 0.292 |
Poly | 0.281 | -0.026 | 0.013 | 0.281 | 0.283 | 0.008 | 0.283 |
PolyPCA | 0.280 | -0.046 | 0.013 | 0.280 | 0.282 | 0.007 | 0.282 |
RBF | 0.315 | 0.206 | 0.006 | 0.321 | 0.315 | 0.204 | 0.321 |
RBFPCA | 0.281 | 0.128 | 0.029 | 0.285 | 0.281 | 0.129 | 0.285 |