Table 3.
Multiple change-point models estimated for rum-1 lateral roots.
| Posterior probability | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| DZ s.d. | DZ-EZ limit | EZ s.d. | EZ-MZ limit | First hair position | MZ s.d. | Segmentation | Model | SH model | ||
| A5 | Linear | 2.5 | 787 (771, 820) | 8.8 | 2,360 (2,090, 2,360) | 2,032 | 51.7 | 0.38* | 1* | 3 |
| Variance | 2.6 | 842 (787, 858) | 9.2 | 2,360 (2,185, 2,360) | 50.8 | 0.41* | 1* | 3 | ||
| A7 | Linear | 1.8 | 456 (415, 491) | 7 | 1,123 (610, 1,123) | 1,241 | 19.4 | 0.1* | 0 | 2 |
| Variance | 1.8 | 456 (393, 463) | 4.1 | 629 (595, 1,050) | 12.3 | 0.03* | 0.97* | 3 | ||
| A′41 | Linear | 4.6 | 452 (392, 469) | 9.8 | 1,246 (787, 1,352) | 1,023 | 33.2 | 0.06* | 0.74* | 3 |
| Variance | 4.5 | 452 (401, 482) | 9.6 | 1,352 (1,107, 1,433) | 34.3 | 0.12* | 0.99* | 3 | ||
| A4 | Linear | 2.1 | 399 (379, 445) | 6.1 | 1,068 (941, 1,187) | 869 | 18.6 | 0.1* | 0.95* | 3 |
| Variance | 2.4 | 542 (507, 542) | 7 | 1,187 (1,103, 1,187) | 19.8 | 0.31* | 0.99* | 3 | ||
| A′40 | Linear | 4.4 | 385 (343, 385) | 12 | 689 (647, 1,136) | 885 | 30 | 0.05 | 0.97* | 3 |
| Variance | 4.4 | 385 (310, 385) | 11.8 | 689 (639, 770) | 29.7 | 0.17* | 0.97* | 3 | ||
| A6 | Linear | 2.1 | 371 (347, 451) | 4.7 | 958 (846, 958) | 1,700 | 29.4 | 0.25* | 1* | 3 |
| Variance | 2.1 | 371 (347, 547) | 4.7 | 958 (909, 958) | 28.9 | 0.28* | 0.94* | 3 | ||
| A′42 | Linear | 3.2 | 295 (178, 352) | 5.5 | 627 (499, 627) | 585 | 20.7 | 0.14* | 0.93* | 3 |
| Variance | 2.8 | 225 (140, 297) | 5.2 | 627 (548, 627) | 20.5 | 0.07* | 0.29 | 2 | ||
| C22 | Linear | 5.4 | 1,510 (1,289, 1,510) | 1,270 | 15.2 | 0.85* | 1* | 2 | ||
| Variance | 5.4 | 1,867 (1,752, 1,897) | 17.5 | 0.33* | 1* | 2 | ||||
| C24 | Linear | 4 | 540 (482, 637) | 656 | 11.6 | 0.5* | 0.94* | 2 | ||
| Variance | 4 | 540 (482, 637) | 11.5 | 0.46* | 0.91* | 2 | ||||
| C23 | Linear | 7.8 | 732 (456, 909) | 421 | 10.3 | 0.15* | 0 | 1 | ||
| Variance | 9.1 | 1* | 0.99* | 1 | ||||||
For each lateral root (ordered in decreasing length of the division zone), the piecewise linear model is described in the first row and the Gaussian change in the variance model estimated on the basis of the residual series is described in the second row. For each multiple change-point model, the standard deviation (s.d.) estimated for each zone −division zone (DZ), elongation zone (EZ) and mature zone (MZ)−, the limits between zones with associated 0.05-uncertainty intervals, the first root hair position (all in μm), the selected segmentation posterior probability −an asterisk indicates that the segmentation is the optimal one−, the selected model posterior probability −an asterisk indicates that the model is the one given by the slope heuristic (SH)−, and the number of zones given by the slope heuristic are given.