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Table 3.
Screening of candidate geometric variables for the structural model. The Kruskal–Wallis test was applied to each of the 14 variables to test for differences across the four geographic regions and the three cutting years of the sample population. Bold p-values indicate statistical significance at the 5% level.
| Candidate variable | Mean | CoV (%) | p (Region) | p (Age) |
|---|---|---|---|---|
| Bottom diameter (mm) | 40.6 | 4.4 | 0.034 | 0.429 |
| Mass (g) | 87.2 | 13.7 | 0.048 | 0.804 |
| Internode-5 length (mm) | 89.8 | 4.1 | 0.015 | 0.709 |
| Internode-6 length (mm) | 87.0 | 4.3 | 0.037 | 0.942 |
| Top diameter (mm) | 48.9 | 4.5 | 0.104 | 0.795 |
| Wall thickness, bottom (mm) | 2.70 | 14.3 | 0.180 | 0.631 |
| Total length (mm) | 766.1 | 0.9 | 0.765 | 0.344 |
| Internode-1 length (mm) | 45.6 | 12.6 | 0.343 | 0.558 |
| Internode-2 length (mm) | 101.7 | 7.2 | 0.052 | 0.957 |
| Internode-3 length (mm) | 96.4 | 3.3 | 0.358 | 0.279 |
| Internode-4 length (mm) | 93.0 | 3.2 | 0.453 | 0.730 |
| Internode-7 length (mm) | 84.3 | 5.4 | 0.469 | 0.979 |
| Internode-8 length (mm) | 82.6 | 6.5 | 0.397 | 0.587 |
| Internode-9 length (mm) | 85.4 | 9.1 | 0.290 | 0.887 |
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