Effect of Hexanal Formulations on the Postharvest Quality and Gene Expression of Strawberry (Fragaria x ananassa Duch.).
Bibliographic record
Abstract
Food waste is a major concern with the growing world population. Research was conducted using hexanal based formulations to improve the shelf-life of strawberry. Pre-harvest sprays of the Enhanced Freshness Formulation (EFF) were applied to field grown strawberries. The applications had minimal effect on characteristics such as blemishes per fruit, firmness and weight change. Greenhouse grown strawberries were treated postharvest with hexanal vapour and did show minimal improvements to shelf-life although a cultivar effect was observed. qRT-PCR was performed on five cultivars that received a pre-harvest treatment of EFF. Different genes were assessed including cell wall and membrane modifying enzymes, ripening related transcription factors, and ethylene related proteins. EFF application altered expression of both membrane and ethylene related genes. When control treated fruit were analyzed for expression changes throughout development, results indicated cultivar differences as previously reported. In summary hexanal application had minimal effects on strawberry postharvest quality.
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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) | 0.001 | 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".