Table 3 Output on adding extraneous error component to the selected Model 1 or Base for DM, FYLD, SHTWT, and HI
| Data | Trait | Model | Variance | h2 | LLk | χ-square | ||||
|---|---|---|---|---|---|---|---|---|---|---|
 |  |  |  |  | ||||||
| Ibadan_2013_C1 | FYLD | Base | 7.425 | NA | 19.791 | NA | NA | 0.7 | −1359.31 | 21.34 |
| Model2 | 6.876 | NA | 18.171 | NA | 2.049 | 0.68 | −1348.64 | (3.80E−06) | ||
| SHTWT | Model1 | 9.022 | 1.729 | 11.875 | NA | NA | 0.59 | −1275.65 | 6.48 | |
| Model2 | 8.686 | 1.763 | 11.419 | NA | 0.645 | 0.6 | −1272.41 | (0.01) | ||
| HI | Base | 0.005 | NA | 0.009 | NA | NA | 0.44 | 1092.16 | 7.89 | |
| Model2 | 0.005 | NA | 0.009 | NA | 0.001 | 0.44 | 1096.1 | (0.005) | ||
| Mokwa_2013_C1 | FYLD | Model1 | 1.649 | 1.113 | 19.218 | NA | NA | 0.86 | −1475.81 | 2.88 |
| Model2 | 1.362 | 1.101 | 18.609 | NA | 0.824 | 0.87 | −1474.37 | (0.089) | ||
| HI | Base | 0.005 | NA | 0.009 | NA | NA | 0.62 | 1270.87 | 10.15 | |
| Model2 | 0.005 | NA | 0.009 | 0.001 | NA | 0.66 | 1275.94 | (0.001) | ||
| Mokwa_14_C1 | HI | Base | 0.007 | NA | 0.006 | NA | NA | 0.59 | 561.33 | 3.66 |
| Model2 | 0.006 | NA | 0.005 | 0 | NA | 0.54 | 563.15 | (0.055) | ||
| Ikenne_2014_C1 | DM | Base | 31.949 | NA | 0.719 | NA | NA | 0.44 | −579.46 | 21.87 |
| Model2 | 36.116 | NA | 0.033 | NA | 1.379 | 0.46 | −568.52 | (2.9e−06) | ||
| SHTWT | Base | 721.089 | NA | 29.191 | NA | NA | 0.5 | −1109.42 | 3.27 | |
| Model2 | 752.485 | NA | 15.792 | 10.999 | NA | 0.49 | −1107.79 | (0.071) | ||
Base is the model having only the genetic variance component. Model 1 has a spatial variance component in addition, and Model 2 has extraneous error component added to the best model selected between Model 1 and Base for a particular trial and trait. Narrow sense heritability (h2) is calculated from BLUP values and genotypic variance. Chi-square statistic is calculated from the log likelihood values (LLk) of the Base/Model 1, and selected Model 2 is given with p-value in brackets. The table shows results from trial-trait analysis with significant improvement in model fit of Model 2 over the best of Base/Model 1 at α = 0.1.