Strawberry production in forced and protected culture in Europe as a response to climate change
Bibliographic record
Abstract
Neri, D., Baruzzi, G., Massetani, F. and Faedi, W. 2012. Strawberry production in forced and protected culture in Europe as a response to climate change. Can. J. Plant Sci. 92: 1021–1036. In Europe, the production of strawberry for fresh market in forced and protected conditions is increasing. These techniques were initially aimed at enhancing the earliness of June-bearing short day varieties. Nowadays, the objective is to have year-round fruit availability, forcing and preserving strawberry crops against adverse weather conditions. The new high-quality low-chilling varieties widely expanded winter–spring strawberry production in the Mediterranean climate with autumn planting, while the diffusion of day-neutral ever-bearing varieties increased spring–summer yields in more continental climates, avoiding the extremely cold winter with spring planting. Finally, the use of tray-plants significantly increased late summer–fall strawberry production with summer programmed planting. The present review analyzes the recent evolution of strawberry cultivars and cultivation systems under plastic tunnels and in greenhouses. The physiological effects on plant architecture and propagation are discussed. In conclusion, we can affirm that strawberry growers are facing climate change with innovations in cultivated varieties and cultural techniques, and by the integration of the different production areas, with their specific optimum yield seasons, to continuously fulfill the demands of the European market.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".