Reduction of Chilling Injury of ‘Nam Dok Mai No. 4’ Mango Fruit by Treatments with Salicylic Acid and Methyl Jasmonate
Bibliographic record
Abstract
This study determined the effects of salicylic acid (SA) and methyl jasmonate (MJ) on chilling injury (CI) of stored mangoes at low temperature. Mango fruits cv. Nam Dok Mai No.4 were dipped in SA and MJ at concentrations of 0.1 and 1 mM for 10 minutes and stored at 5±1 ºC with 90±2% RH for 42 days. Fruits were sampled every 7 days to determine the CI index, malondialdehyde (MDA) content, electrolyte leakage (EL), then transferred to room temperature (25±2 ºC, 70±2% RH) for ripening and analyzed for CI index, MDA content, EL, and ripening quality. The results show that mango fruits showed CI symptoms after 21 days of storage at 5 ºC and were unacceptable for consumption after 28 days of cold storage and after transfer to room temperature. SA and MJ treatments significantly reduced CI, MDA content, and EL in the mango skin and pulp during cold storage and after transfer to room temperature. Dipping fruits in 0.1 mM MJ, 1 mM MJ, and 0.1 mM SA reduced CI of cold storage and after transfer to room temperature up to 35 days, whereas dipping in 1 mM SA prolonged this up to 42 days without affecting fruit firmness, percentages of TA, and skin color (°Hue values) of the ripe 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".