The effects of pre-harvest application of hexanal formulations on time to ripening and senescence and fruit retention time in limequat (Citrofortunella floridanaJ.W. Ingram & H.E. Moore)
Bibliographic record
Abstract
Limequat (Citrofortunella floridana J.W.Ingram & H.E.Moore), unlike many tropical fruits, is produced year-round in Trinidad and Tobago and there are periods where other seasonally available varieties of limes, for example, the West Indian variety, are in greater demand than the limequat, resulting in glut supplies and high losses in the field. Limequat has been known to produce in excess of 250,000 fruits per hectare and during periods of low demand, much of these fruits go to waste. Retention time of the fruit on the tree is usually around 35 days, after full colour change from green to yellow. Due to its soft texture, the fruit bruises very easily leading to high post-harvest losses and loss of earnings to farmers. This study was conducted to determine the effects of pre-harvest treatments with enhanced freshness formulation (EFF), applied at different concentrations and different application intervals, on retention time of the fruit on the tree and time to colour change of the fruit as an indicator of onset of senescence. Trials conducted showed that pre-harvest biweekly applications of EFF at four percent was more effective in delaying the onset of colour change of the limequat fruits than EFF application at two per cent. It was observed that application of two per cent EFF bi-weekly for four weeks gave a greater reduction in the average number of fruits showing full colour change after treatment when compared to weekly application. Results of the study indicated that application of four percent EFF at bi-weekly spray intervals for one month significantly reduced the rate of colour change of limequats on the trees. Weekly applications of two percent EFF gave the best retention times on the tree, in excess of 99 days, after treatment. Thus, treatment with EFF reduced pre-harvest losses and increased the time for which marketable quality of fruits was maintained.
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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 | 0.001 |
| 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".