Abscission zones: cellular interfaces for the programmed separation of organs
Bibliographic record
Abstract
BACKGROUND: Abscission zones are specialized sites where plants shed organs, such as leaves, petals or fruits, in response to developmental or environmental signals. These zones form at predictable locations and, once activated, undergo structural and physiological changes that detach the organ and seal the exposed area. During crop domestication, plants that retained ripe fruit or seeds were selected, and abscission traits still influence crop yield and quality today. SCOPE: This article reviews the stages of development of abscission zones: initiation, competence, separation and sealing. We combine insights from classic structural and physiological studies with modern genetic and molecular research, focusing on two plant species: Arabidopsis thaliana as a model for floral organ abscission and Solanum lycopersicum as a model for fleshy fruit development. CONCLUSIONS: These studies show that abscission is a conserved but flexible developmental process. We conclude by exploring how these findings are being applied to improve abscission traits in modern agriculture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".