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 | 0.079 | 0.192 | 0.079 | 0.194 | 0.111 | 0.212 | 0.219 |
RRPCA1 | 0.091 | 0.286 | 0.070 | 0.304 | 0.118 | 0.296 | 0.316 |
MTGBLUP | 0.080 | 0.223 | -0.086 | 0.244 | 0.046 | 0.213 | 0.235 |
Poly | 0.011 | 0.231 | -0.083 | 0.231 | -0.081 | 0.225 | 0.226 |
PolyPCA | 0.002 | 0.230 | -0.085 | 0.230 | -0.083 | 0.224 | 0.224 |
RBF | 0.063 | 0.232 | 0.083 | 0.236 | 0.068 | 0.233 | 0.237 |
RBFPCA | 0.105 | 0.270 | 0.151 | 0.278 | 0.112 | 0.271 | 0.279 |