Effects of Sanitizers on the Control of Alternaria sp. Fungus for ‘Palmer’ Mango Conservation
Bibliographic record
Abstract
One of the main problems faced by mango growers in the San Francisco Valley, Brazil, is caused by fungi. Among them, the genus Alternaria, Lasodiploida and Colletotrichum stand out. Sanitization methods have been studied in order to control the proliferation of these microorganisms and increase the shelf life of the fruits. Thus, two methods of sanitization were evaluated: Ozone and chlorine dioxide, in the control of fungi of the genus Alternaria and in the increase of post-harvest quality of Palmer mango fruits. We used a 3 × 5 factorial design with three treatments applied to fruits previously inoculated with fungi, five evaluation periods and five replications, totaling 75 experimental units. The treatments consisted of ozonated water at 3 ppm, chlorine dioxide at 12 ppm, and a control without sanitization. We noted the full development of fungi from the 10th day after contamination, more significantly for the control and to a lesser extent for the treatment with ozone. The methods of conservation with ozone and chlorine dioxide proved efficient in the conservation of fruits. The treatment with chlorine dioxide shows a significant efficiency in the control of penetration of fungi of the genus Alternaria inside the fruits.
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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".