The discovery of twilight length sensing in plants and its implications for models of plant photoperiodism
Bibliographic record
Abstract
For centuries, we have known that plants exhibit different phenologies and growth patterns under differing photoperiods, accounting for both seasonality and traditional latitudinal limits in their cultivation. Decades of research in plant circadian biology have deciphered the role of the clock in controlling photoperiodic flowering through what is known as the 'external coincidence model'. However, past work has largely neglected to include another aspect of natural photoperiod change in experimentation - twilight length. In natural environments, photoperiod change is accompanied by changes in the duration of twilight, the period of gradual change in light intensity at day-night transitions. It has recently been revealed that twilight length impacts both the growth and reproductive transition in plants, via the circadian clock. This Tansley Insights explores how this recent discovery fits with recent work on metabolic daylength measurement, leading to a higher resolution understanding of plant photoperiodism at the molecular level.
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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 | 0.000 | 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".