The effects of temperature, photoperiod, and vernalization on regrowth and flowering competence in<i>Euphorbia esula</i>(Euphorbiaceae) crown buds
Bibliographic record
Abstract
The herbaceous perennial weed Euphorbia esula L. (Euphorbiaceae) reproduces by vegetative and sexual means, characteristics that are key to its persistence and survival. In this study, we examined environmental effects on regrowth and flowering under controlled conditions to further validate field observations and set the stage for the future identification of molecular mechanisms involved in the regulation of these processes. Shoot cuttings were exposed to different combinations of decreasing temperatures, decreasing photoperiods, and vernalization, in growth chambers. Subsequently, shoots were removed and regrowth and flowering from new shoots were monitored in a warm temperature greenhouse under long-day conditions. Vernalization alone has no effect on regrowth and flowering. Plants required decreasing temperature followed by vernalization for rapid regrowth and flowering. Decreasing photoperiod at a constant temperature with or without vernalization had no significant effect on regrowth and flowering. In conjunction with previous field research, the results suggest that a gradually decreasing temperature is required as one of the components for flowering competence and vernalization is determinate for reproductive development under long-day conditions.
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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 | 0.000 | 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) | 0.001 | 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 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".