Table 3. Best average accuracies among the 135 GEBVs obtained from the training data sets (TP) and the observed BLUP of the validation data sets (VP) considering each trait.
| Trait | k-fold | LD (r2 ≤) | MAF (≥ %) | Number of SNP | Method | Average Accuracy |
|---|---|---|---|---|---|---|
| PH | 6 | 0.9 | 5 | 4011 | BRR | 0.538 (0.082) |
| PW | 9 | 1 | 5 | 5604 | BL | 0.327 (0.126) |
| YLD | 9 | 0.9 | 5 | 4011 | BL | 0.309 (0.148) |
| FL | 6 | 0.9 | 5 | 4011 | LASSO | 0.295 (0.113) |
FL: days to flowering; PH: plant height; YLD: grain yield; PW: panicle weight; LD: linkage disequilibrium; MAF: minor allele frequency. Methods; LASSO: least absolute shrinkage and selection operator, BL: Bayesian LASSO, BRR: Bayesian ridge regression