The relationship between frost tolerance and generative induction in winter wheat (<i>Triticum aestivum</i> L.) under field conditions
Bibliographic record
Abstract
The quantitative nature of the vernalization and photoperiod requirements and the interference of plant age with these mechanisms complicate predictions of generative induction and its relation to frost tolerance. This study was designed to dissect further the course of development towards full generative induction and to time the stages in frost tolerance. Two cultivars of winter wheat were regularly sampled from fields at four sites during three winters. The apex stage of development was observed at time of sampling and after 3 subsequent weeks of growth at 18°C, under either short or long days. Level of frost tolerance at sampling was also recorded. No visible change in apex appearance was found at time of sampling, but readiness of plants to initiate generative development was enhanced. Vernalization by low temperatures alone was not enough to induce the plants into generative development or initiate loss of frost tolerance. Short day conditions after sampling delayed the appearance of double ridges by 6-9 wk as compared with long day conditions. The timing of maximum frost tolerance and its subsequent decrease indicated that generative induction under the short day conditions prevailing in field occurred about 1 mo after vernalization saturation.Key words: Triticum aestivum L., frost tolerance, generative induction, vernalization, photoperiod
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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 | 0.001 | 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".