Effect of chlorine atmospheres on the development of rhizopus rot [<i>Rhizopus stolonifer</i>] and gray mold [<i>Botrytis cinerea</i>] on stored strawberry fruits
Bibliographic record
Abstract
Gray mold and rhizopus rot, caused by Botrytis cinerea and Rhizopus stolonifer, respectively, are major diseases of strawberry (Fragaria ×ananassa) fruits, causing significant economic losses during storage. In this study, the effect of chlorine atmospheres on spore viability and mycelial growth of B. cinerea and R. stolonifer and on the development of gray mold and rhizopus rot on stored strawberries was evaluated. The results showed that spore mortality in R. stolonifer and B. cinerea was complete following a 6 h exposure to a chlorine atmosphere of 10 mg per litre of moist air, while mycelial growth of R. stolonifer and B. cinerea was completely inhibited at concentrations of 5 and 20 mg/L, respectively. At concentrations as low as 10 mg/L, chlorine provided a marked reduction in incidence of rhizopus rot and gray mold on strawberries after a 9 h exposure period. For both diseases, a chlorine atmosphere of 20 mg/L reduced the incidence by a minimum of 60% without affecting strawberry color or firmness. The results of this study suggest that exposure of strawberries to chlorine atmospheres represents a potential method for controlling postharvest gray mold and rhizopus rot.
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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".