SCHEDULING PRIMOCANE FRUITING RASPBERRIES FOR YEAR-ROUND PRODUCTION IN GREENHOUSES
Bibliographic record
Abstract
In Ontario, raspberries have the potential to be grown year-round in greenhouses. Initial research has shown that primocane-fruiting raspberries can fruit for several years without a cold period, although in the winter production ceased. Since primocane raspberries can also fruit on overwintered canes, two experiments, one in 1998 and one in 1999, were set up to schedule fruit production throughout the year. In the first experiment, potted plants of 'Autumn Britten', 'Heritage', 'Polana' and 'Summit' were grown in the greenhouse and in the first year, plants either had their canes cut to 30cm, cut to the surface or left uncut. In December the plants were either left in the greenhouse or subjected to 6 weeks below 7°C. In the second experiment the treatments were the similar except that only 'Autumn Britten', and 'Polana' were used and the cut to the surface treatment omitted. In the first experiment, all the plants cut to the surface died and in the first year, and the other treatments had similar yields. In the second experiment, plants with canes cut to 30 cm yielded less than the uncut plants. In both experiments, the plants cut to 30cm produced about one month later. In the second year, in both experiments the plants that had been chilled, fruited sequentially on their floricanes and primocanes from late March onwards. Those plants that were not chilled fruited on their primocanes from May onwards and had lower annual yields than those that were chilled. These results indicate that primocane -fruiting cultivars can be manipulated to fruit throughout most of the year, so fewer plants are needed compared to production systems which use floricane cultivars.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".