Impact of Exogenous Gibberellic Acid, Salicylic Acid, and Calcium Chloride on Tomato Fruit's Postharvest Quality and Shelf Life
Bibliographic record
Abstract
Tomatoes are vital to Nepalese agriculture, but inadequate post-harvest management, lack of cold storage facilities and inefficient transportation infrastructure lead to significant losses.This study evaluates the shelf life and quality of tomato (Solanum lycopersicum) fruit cv.'Shrijana' stored at ambient condition after post-harvest, exogenous treatment with GA3 (O.1%, 0.2%, and 0.3%), SA (0.1 mM, 0.2 mM and 0.3 mM), And CaCl2 (0.5%, 1%, and 1.5%).A Completely Randomized Design (CRD) comprising ten treatments with three replications was executed and the statistical analysis of data was completed using GenStat and Microsoft Excel.The tested fruits were stored at room temperature of an average of (26.92) C (dry) and (20.52) C (wet).The data on quality parameters was collected after 15 days of storage and 25 days of storage.All the tested treatments indicated a significant delay in titratable acidity and ascorbic acid degradation, and maintenance of lower pH in tomato fruits as compared to the control.The statistical result revealed that among the treatments, at 15 days of storage, the maximum retention of titratable acidity (0.58%) and ascorbic acid (14.23 mg/100 g) was observed in T1 (0.1% GA3).With the increasing storage period, the ripening progressed, marked by the declined values of acidity, and ascorbic acid along with increased TSS values on the 25 th day.It was concluded that postharvest treatments are significant in maintaining the chemical qualities, shelf life (28.72 days), and marketable fruit% of the tomatoes harvested at the turning and pink stage.Treatment with 0.1% GA3 significantly influenced the chemical qualities and maximum shelf life of tomato.This study provides low-cost and efficient solutions for tomato postharvest management in developing countries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".