The Impact of Anti-ethylene Compounds Applied Pre- and Postharvest on the Weakly Climacteric, Bicoloured ‘Ambrosia’ Apple (Malus domestica Borkh)
Bibliographic record
Abstract
Abstract Previous research has shown that all major storage disorders associated with the weakly climacteric ‘Ambrosia’ apple ( Malus domestica Borkh) increased with delayed harvest and maturity. As the fruit grade is dependent on colour development, a moderate rate of anti-ethylene products Harvista™ (preharvest 1-methylcyclopropene (1-MCP)) and Retain® (i.e., aminoethoxyvinylglycine (AVG)) were compared with a control treatment in terms of their impact on colour, maturity and storage (eight months) in this two-year optimum versus delayed harvest study. SmartFresh™ (postharvest 1-MCP) and elevated storage temperatures were added as separate postharvest storage treatments. While results should not be interpreted as a comparison of the two products, Harvista™ showed greater impact than ReTain® on ‘Ambrosia’ maturity for the rates and application timing used in this study. Harvista™ fruit were higher in starch and acidity relative to control fruit at harvest. Both the Harvista™ and ReTain® treatments impeded colour development relative to the control in Year 1 only—a poor colouration year. Both Harvista™ and SmartFresh™ fruit had superior firmness and acidity levels compared with control fruit after eight months of controlled atmosphere storage, while ReTain® fruit acidity was higher than the control group in only one out of two years. Storage disorders, led by senescent breakdown and core flush, and elevated by delayed harvest, were impacted by treatment in different ways, both positively and negatively, with complex interactions with other factors. Despite the clear connection between maturity and post-storage disorder levels in the previous optimum harvest work, delaying maturity with anti-ethylene compounds applied in the orchard did not result in a higher percentage of disorder-free fruit after storage.
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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".