MétaCan
Menu
Back to cohort
Record W1620351916 · doi:10.4141/cjps2011-276

Strawberry production in forced and protected culture in Europe as a response to climate change

2012· article· en· W1620351916 on OpenAlexvenueno aff
Davide Neri, G. Baruzzi, F. Massetani, Walther Faedi

Bibliographic record

VenueCanadian Journal of Plant Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBerry genetics and cultivation research
Canadian institutionsnot available
Fundersnot available
KeywordsSowingCultivarClimate changeAgronomyGreenhouseMediterranean climateFragariaEnvironmental scienceYield (engineering)HorticultureBiologyEcology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.264
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations99
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Plant ScienceSame topicBerry genetics and cultivation researchFrench-language works237,207