(183) Quality and Shelf Life of Greenhouse Tomatoes Exposed to 1-Methylcyclopropene
Bibliographic record
Abstract
The objectives of this research were to determine if 1-methylcyclopropene (1-MCP) improves fruit quality and extends shelf life of Ontario greenhouse tomatoes. `Beefsteak' tomatoes between breaker and turning maturity stages were harvested from commercial growers in Leamington, Ontario, and randomly sorted into uniform lots for 1-MCP treatment. Application of 1-MCP concentrations from 0 to 1200 nL/L was done at 22 °C for 12 hours in sealed bags. After treatment, fruit were held at 22 °C. Color change, fruit firmness, and production rates of CO 2 and ethylene were followed for a period of 2 weeks. Significant differences ( P ≤ 0.05) were found in color, ethylene, and CO 2 production rates between treatments. However, there were few significant differences among cultivars and growers. This suggests that different tomato cultivars respond similarly to 1-MCP, and that commercial growing conditions and practices may not affect its efficacy. Over the 2-week ripening period, fruit from treatments of less than 300 nL/L 1-MCP exhibited similar color changes while treatments of more than 600 nL/L resulted in blotchy ripening, causing fruit to be unmarketable. 1-MCP treatment led to an increase in the rates of ethylene and CO 2 production, two processes correlated with the onset of fruit ripening. This increase was unexpected and other studies showed that 1-MCP delayed the onset of these processes in tomatoes, and inhibited them in other fruits. Tomatoes treated at a maturity between breaker and turning did not respond well to 1-MCP, perhaps due to the ripening process having already begun. This implies that maturity stages earlier than breaker to turning may respond better to 1-MCP, and it may be more beneficial to target greenhouse tomatoes at an earlier maturity.
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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) | 0.002 | 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".