Path models for the abscission of reproductive structures in three contrasting cultivars of faba bean (<i>Vicia faba</i>)
Bibliographic record
Abstract
We hypothesized that the differences in the amount of abscission of reproductive structures in three physiological types of faba bean (Vicia faba L.) were due to different physiological responses to an internal competition for resources in the plant. Vicia faba 'Aguadulce' has an indeterminate growth habit and a dichotomous system of vascularization in its inflorescences. Vicia faba 'D83146-123' has a determinate growth habit and a dichotomous system of vascularization in its inflorescences. Vicia faba 'B 87.151' has an indeterminate growth habit and an independent vascular system in its inflorescences. Flower and pod abscission were related to growth and developmental attributes using multiple regressions as well as path analysis. The path models showed that abscission in the determinate growth cultivar was positively related to plant height and branch number, suggesting that competition for vegetative growth is still responsible for abscission in this cultivar. Future breeding should focus on reducing branch number in this cultivar. Results suggest that competition between reproductive structures has been attenuated in the independent vascular system cultivar even if flowers and pods continue to abscind. Further selection should be concentrated on a reduction of height and an independent vascular system within the stem to reduce competition between inflorescences. Key words: faba bean, flower abscission, pod abscission, path analysis, Vicia faba.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".