Table A1.
Dataset 3 EYT 2015–2016
| Models and methods |
Models and methods |
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|---|---|---|---|---|---|---|---|---|---|---|---|
| BRR | GBLUP | GK | PK | SK | BRR | GBLUP | GK | PK | SK | ||
|
|
|
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| Env. | Scenario | Without G × E (WI) | With G × E (I) | ||||||||
| DTHD | |||||||||||
| Bed2IR | MT | 2.09 | 2.10 | 1.90 | 1.93 | 4.61 | 1.94 | 1.89 | 1.71 | 1.71 | 4.73 |
| Bed5IR | MT | 5.39 | 5.40 | 5.12 | 5.15 | 8.69 | 4.35 | 4.38 | 3.77 | 3.98 | 8.86 |
| Flat5IR | MT | 4.22 | 4.22 | 4.10 | 4.07 | 6.33 | 3.37 | 3.36 | 3.06 | 3.09 | 6.31 |
| FlatDrip | MT | 7.67 | 7.66 | 7.36 | 7.39 | 12.90 | 6.24 | 6.17 | 5.16 | 5.39 | 13.23 |
| LHT | MT | 4.16 | 4.15 | 3.94 | 3.96 | 6.21 | 3.12 | 3.08 | 2.77 | 2.85 | 5.99 |
| Bed2IR | MT_P | 2.08 | 2.08 | 1.93 | 1.97 | 4.15 | 1.92 | 1.86 | 1.64 | 1.64 | 4.10 |
| Bed5IR | MT_P | 5.68 | 5.68 | 5.40 | 5.43 | 9.47 | 4.55 | 4.55 | 3.93 | 4.18 | 9.70 |
| Flat5IR | MT_P | 4.41 | 4.42 | 4.25 | 4.22 | 6.73 | 3.50 | 3.46 | 3.05 | 3.07 | 6.70 |
| FlatDrip | MT_P | 6.58 | 6.57 | 6.28 | 6.33 | 10.64 | 5.61 | 5.59 | 4.67 | 4.85 | 11.11 |
| LHT | MT_P | 4.04 | 4.04 | 3.82 | 3.83 | 6.31 | 3.12 | 3.08 | 2.79 | 2.87 | 6.28 |
| DTMT | |||||||||||
| Bed2IR | MT | 2.87 | 2.88 | 2.67 | 2.71 | 4.74 | 2.54 | 2.51 | 2.31 | 2.31 | 4.65 |
| Bed5IR | MT | 5.54 | 5.53 | 5.30 | 5.30 | 8.46 | 5.24 | 5.37 | 4.65 | 4.63 | 9.26 |
| Flat5IR | MT | 8.15 | 8.13 | 8.07 | 8.14 | 10.44 | 6.72 | 6.83 | 6.11 | 6.32 | 10.19 |
| FlatDrip | MT | 8.67 | 8.66 | 8.49 | 8.47 | 12.08 | 7.49 | 7.52 | 6.28 | 6.42 | 12.13 |
| LHT | MT | 4.05 | 4.05 | 4.06 | 4.11 | 3.81 | 3.03 | 2.96 | 2.75 | 2.83 | 3.06 |
| Bed2IR | MT_P | 2.80 | 2.80 | 2.65 | 2.69 | 4.31 | 2.47 | 2.45 | 2.23 | 2.27 | 4.16 |
| Bed5IR | MT_P | 5.79 | 5.80 | 5.50 | 5.54 | 9.09 | 5.52 | 5.60 | 4.81 | 4.74 | 10.02 |
| Flat5IR | MT_P | 8.37 | 8.39 | 8.27 | 8.37 | 10.77 | 7.00 | 6.99 | 6.18 | 6.38 | 10.60 |
| FlatDrip | MT_P | 7.83 | 7.85 | 7.74 | 7.76 | 10.27 | 6.87 | 6.95 | 5.96 | 6.13 | 10.27 |
| LHT | MT_P | 4.03 | 4.04 | 4.03 | 4.06 | 4.09 | 3.02 | 2.93 | 2.71 | 2.80 | 3.37 |
Average mean squared error (MSE) of prediction for five multitrait multi-environment 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) for five environments (Bed 2IR, Bed5IR, EHT, Flat5IR, and LHT) and two traits (DTHD, days to heading and DTMT, days to maturity). Boldface indicates model method with the lowest MSE for the environment.