Table 3.
Dataset 2 EYT 2014–2015
| Models and methods |
Models and methods |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| BRR | GBLUP | GK | PK | SK | BRR | GBLUP | GK | PK | SK | ||
|
|
|
||||||||||
| Env. | Scenario | Without G × E (WI) | With G × E (I) | ||||||||
| DTHD | |||||||||||
| Bed2IR | MT | 2.66 | 2.65 | 2.40 | 2.43 | 5.90 | 2.27 | 2.26 | 2.05 | 2.04 | 5.98 |
| Bed5IR | MT | 7.68 | 7.67 | 7.21 | 7.28 | 13.23 | 6.58 | 6.48 | 5.66 | 5.54 | 13.75 |
| EHT | MT | 16.13 | 16.17 | 15.55 | 15.54 | 22.87 | 14.34 | 14.44 | 11.59 | 11.76 | 23.58 |
| Flat5IR | MT | 4.34 | 4.32 | 4.03 | 4.05 | 6.34 | 3.67 | 3.62 | 3.84 | 3.79 | 6.39 |
| LHT | MT | 4.34 | 4.30 | 4.30 | 4.27 | 5.25 | 3.29 | 3.14 | 2.67 | 2.87 | 4.76 |
| Bed2IR | MT_P | 2.58 | 2.61 | 2.38 | 2.41 | 5.86 | 2.22 | 2.22 | 2.01 | 2.06 | 5.92 |
| Bed5IR | MT_P | 7.55 | 7.55 | 7.04 | 7.15 | 12.57 | 6.42 | 6.37 | 5.48 | 5.46 | 12.97 |
| EHT | MT_P | 16.19 | 16.16 | 15.50 | 15.55 | 22.72 | 14.17 | 14.31 | 11.43 | 11.74 | 23.18 |
| Flat5IR | MT_P | 4.34 | 4.33 | 4.12 | 4.14 | 6.21 | 3.69 | 3.64 | 3.70 | 3.90 | 6.23 |
| LHT | MT_P | 4.30 | 4.30 | 4.29 | 4.32 | 5.28 | 3.32 | 3.15 | 2.75 | 2.94 | 4.80 |
| DTMT | |||||||||||
| Bed2IR | MT | 4.80 | 4.79 | 4.63 | 4.70 | 6.56 | 4.26 | 4.20 | 3.90 | 4.03 | 6.27 |
| Bed5IR | MT | 6.29 | 6.30 | 5.98 | 6.05 | 9.82 | 5.33 | 5.36 | 4.72 | 4.77 | 10.18 |
| EHT | MT | 12.87 | 12.89 | 12.69 | 12.75 | 16.77 | 11.34 | 11.44 | 9.81 | 10.30 | 17.12 |
| Flat5IR | MT | 5.02 | 4.98 | 4.82 | 4.87 | 7.24 | 4.53 | 4.52 | 4.65 | 4.84 | 7.61 |
| LHT | MT | 3.92 | 3.87 | 3.90 | 3.86 | 4.77 | 3.13 | 3.05 | 2.66 | 2.79 | 4.42 |
| Bed2IR | MT_P | 4.68 | 4.70 | 4.52 | 4.60 | 6.54 | 4.16 | 4.20 | 3.90 | 4.07 | 6.29 |
| Bed5IR | MT_P | 5.93 | 5.95 | 5.66 | 5.75 | 8.93 | 5.07 | 5.10 | 4.51 | 4.53 | 9.19 |
| EHT | MT_P | 12.70 | 12.71 | 12.45 | 12.55 | 16.44 | 11.08 | 11.22 | 9.68 | 10.20 | 16.54 |
| Flat5IR | MT_P | 5.05 | 5.05 | 4.90 | 4.97 | 7.06 | 4.56 | 4.57 | 4.65 | 4.95 | 7.46 |
| LHT | MT_P | 3.74 | 3.71 | 3.70 | 3.72 | 4.53 | 3.01 | 2.88 | 2.59 | 2.67 | 4.26 |
Average mean squared error (MSE) of prediction for five multitrait multienvironment model-methods: BRR, Bayesian ridge regression; GBLUP, genomic best linear unbiased predictor; GK, Gaussian kernel; PK, polynomial kernel; SK, sigmoidal kernel without G × E (WI) and with G × E (I) for two scenarios (MT and MT_P), four environments (Bed2IR, Bed5IR, EHT, Flat5IR, LHT), and two traits (DTHD, days to heading and DTMT, and days to maturity). Boldface indicates model-method with the lowest MSE for the environment.