The effects of pre-harvest treatments with hexanal formulation on selected post-harvest quality parameters of limequat (Citrofortunella floridana J.W.Ingram & H.E.Moore) fruits
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Bibliographic record
Abstract
Generally, limequat (Citrofortunella floridana J.W.Ingram & H.E.Moore) fruits have a relatively short shelf life at supermarket display temperatures (17-22oC). In some cases, shelf life can be as short as four days, after which surface discolouration becomes evident, along with shrivelling, and in many instances, the development of post-harvest diseases. Therefore, for maintenance of marketable quality, these three factors must be controlled. Pre-harvest treatments are known to positively affect the post-harvest quality of many commodities. Among these, treatment with hexanal has resulted in improved post-harvest quality maintenance because of its retarding effect on enzyme-driven cellular degradation. This study was conducted to observe the effect of pre-harvest treatments with hexanal on the length of the shelf life and the post-harvest quality of limequat fruits. Pre-harvest spray applications of 2% and 4% EFF (Enhanced Freshness Formulation), containing hexanal as the active ingredient, were made at weekly and biweekly intervals 30-days before the expected date of harvest. Pre-harvest spray treatments of EFF at 2% and 4% to trees of limequat resulted in the delay in the rate of colour change from green to yellow by an average of 7 days and 14 days, respectively, in harvested mature fruit. Senescent changes and other signs of deterioration including surface discolouration as brown patches, appeared on the fruit only after full colour change from green to yellow had occurred. Pre-harvest treatment also resulted in a reduction in the incidence of post-harvest diseases by up to 21 days during storage at 17-19oC / 90-95% RH. Thus, pre-harvest spray application had a marked effect on appearance by delaying both yellowing and shrivelling of the fruit, and consequently on marketability since appearance is one of the main factors determining acceptability in the marketplace.
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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 | 0.000 | 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) | 0.000 | 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 it