Effect of hexanal vapor to control postharvest decay and extend shelf-life of highbush blueberry fruit during controlled atmosphere storage
Bibliographic record
Abstract
Postharvest disease control has become more challenging due to the limited number of registered fungicides, fungicide resistance, consumers' desire for reduced fungicide residues and demand for blemish-free, high-quality product. The interest in the use of natural alternatives to prevent fungal growth has markedly increased. Many biologically active volatile compounds, including hexanal, a natural plant volatile with antifungal properties, have been reported to reduce postharvest diseases. In this study, highbush blueberry fruit (Vaccinium corymbosum 'Duke', 'Brigitta' and 'Burlington') were treated with hexanal vapor at 900 µL L-1 for 24 h either once immediately before storage or repeated after 1 and 2 wk of CA storage (10-12 kPa O2 and 12-15 kPa CO2 ) at 0.5°C for up to 15 wk. Fruit removed from storage after 3, 5, 7, 9, 12 and 15 wk were evaluated following 1 or 7 d at 10°C. Decayed fruit were significantly reduced by 50-70% in treated fruit compared with the control. A 17% reduction of split Duke fruit was also found in hexanal treated fruit after 9 wk CA storage followed by 7 d at 10°C. Marketable fruit in all three cultivars was 20-40% greater in hexanal treatments after 12 wk of storage as compared with controls. Fruit firmness increased during storage in Burlington. No significant changes in weight loss were found. These results indicate that postharvest application of hexanal vapor can reduce fruit decay, maintain fruit quality and extend storage life. It has potential as an alternative fungicide to reduce postharvest decay in highbush blueberry fruit.Key words: Postharvest, fungi, decay control, 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) | 0.002 | 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".