108 Maintaining Postharvest Quality of Mango Fruit with Methyl Jasmonate
Bibliographic record
Abstract
Treatment of mango ( Mangifera indica cv Kent) with methyl jasmonate (MJ) vapor for 20 h at 20 °C was effective in reducing chilling injury (CI) symptoms and decay, and enhancing skin color development. MJ (10-4 M) was the most effective concentration for reducing CI and decay in fruit stored at 5 °C followed by 7 days at 20 °C (shelf life period). The use of 10-5 M MJ enhanced yellow and red color development of mango kept at 20 °C. These fruit possessed higher L * , a * and b * values than controls and those treated with 10-4 M MJ. Ripening processes were inhibited by cold storage in control fruits. After cold storage (5 °C) and the shelf life period, fruit treated with 10-5 M MJ fruit ripened normally and contained the highest total soluble solids (TSS). These fruit maintained higher sugar and organic acid levels than those in other treatments. We concluded that MJ treatment could be used to reduce decay and CI symptoms, and also to improve color development of mango fruit without adversely affecting 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".