Table 2.
Estimated posterior means of variance parameters (posterior SD) from Gaussian Model (wheat data set).
| Environment | Variance | Analyses | ||||||
|---|---|---|---|---|---|---|---|---|
| Across groups | Interaction model | Stratified | ||||||
| G1 | G2 | Main | G1 | G2 | G1 | G2 | ||
| E1 | Genomic | 0.558 (0.095) | 0.215 (0.078) | 0.380 (0.121) | 0.426 (0.121) | 0.568 (0.133) | 0.635 (0.126) | |
| Residual | 0.605 (0.061) | 0.434 (0.061) | 0.554 (0.061) | 0.350 (0.056) | 0.563 (0.063) | 0.350 (0.057) | ||
| E2 | Genomic | 0.497 (0.092) | 0.277 (0.088) | 0.308 (0.106) | 0.270 (0.086) | 0.600 (0.140) | 0.481 (0.115) | |
| Residual | 0.647 (0.064) | 0.475 (0.062) | 0.612 (0.064) | 0.440 (0.062) | 0.618 (0.068) | 0.469 (0.067) | ||
| E3 | Genomic | 0.470 (0.096) | 0.470 (0.096) | 0.219 (0.080) | 0.346 (0.115) | 0.379 (0.132) | 0.556 (0.135) | 0.611 (0.159) |
| Residual | 0.531 (0.056) | 0.769 (0.091) | 0.490 (0.056) | 0.657 (0.092) | 0.491 (0.059) | 0.657 (0.095) | ||
| E4 | Genomic | 0.485 (0.097) | 0.185 (0.069) | 0.378 (0.116) | 0.437 (0.132) | 0.568 (0.128) | 0.602 (0.140) | |
| Residual | 0.620 (0.063) | 0.564 (0.076) | 0.561 (0.061) | 0.444 (0.070) | 0.558 (0.062) | 0.449 (0.071) | ||
E1–E4 are four different mega environments. G1 and G2 identify groups 1 and 2, respectively. In the interaction model “Main” refers to the main effect and G1 and G2 refer to interactions.