Heat before flowering reduces fruit size in day-neutral strawberries
Bibliographic record
Abstract
The optimum temperature for fruit and achenes of day-neutral strawberries to develop was characterized in two field trials in Florida and Ontario and in controlled environments. In the field, fruit became smaller mainly because weather before flowering became hotter. Ovule number was influenced by the mean temperature during the week before and the week after the point corresponding to 462 degree-days before flowering. Also, 12 °C appeared to be the optimum temperature for ovule initiation. Fruit volume per ovule, cell number, and cell size were determined by the mean temperature 176 degree-days before flowering, and was greater below 15 °C. Since cell divisions did not vary after flowering, cell volume played a relatively minor role on fruit volume. When there was a smaller proportion of developed achenes, the achenes were larger and had a similar contribution to fruit development as when there was a larger proportion of them. Also, they were larger and had a higher germination rate when temperatures were higher. The results indicate that with 12 °C as the optimum temperature for fruit development a daily range of 6–18 °C would give consistently large fruit.
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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) | 0.002 | 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".