Vegetative growth, cold acclimation, and dormancy as affected by temperature and photoperiod in six red raspberry ( <i>Rubus idaeus</i> L.) cultivars
Bibliographic record
Abstract
Summary The effects of temperature (4 or 20°C) and photoperiod (9 or 18 h) on vegetative growth, cold acclimatization and induction of dormancy in six red raspberry ( R. idaeus ) cultivars (Jatsi, Maurin Makea, Muskoka, Ottawa, Preussen and Titan) were studied in two experiments (spring and autumn) in a greenhouse during 2000-01. Cane elongation and number of new nodes were more strongly affected by temperature than by photoperiod. Photoperiod had a very little effect on growth at 4°C, but short day reduced growth at 20°C. Cold hardiness of raspberry canes and buds was only affected by the temperature. In most cultivars, a deeper dormancy was induced at 20°C than at 4°C, and the effect of photoperiod was dependent on temperature. During the spring experiment, growth was more vigorous and the plants reacted more readily to changes in photoperiod than during the autumn experiment. However, greater cold hardiness and deeper dormancy were induced during the autumn experiment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".