Table 2.
Predictive ability for the independent prediction of advanced breeding lines (AYTs) in new environments using the MTME model.
| Year | Enva | Predictive abilityb | ||||
|---|---|---|---|---|---|---|
| Grain yield | Grain protein | Test weight | Plant height | Days to heading | ||
| 2018–19 | OND | 0.44 | 0.37 | 0.43 | 0.49 | 0.27 |
| WIN | 0.30 | 0.25 | 0.38 | 0.30 | 0.46 | |
| 2019–20 | OND | 0.36 | 0.27 | 0.44 | 0.22 | 0.41 |
| WIN | 0.15 | 0.32 | 0.25 | 0.18 | 0.24 | |
Tables shows Pearson correlation between the observed and predictive values of agronomic traits in the AYTs in two different environments over two growing seasons.
a
Env refers to different trial location. BRK, Brookings; DL, Dakota Lakes; HYS, Hayes; OND, Onida; and WIN, Winner.
b
The predictive ability for five agronomic traits using the MTME model in independent prediction of advanced lines. Refer to Figure 5 for the design of the prediction scheme.