Effect of Pre-harvest Application of Hexanal and Growth Regulators in Enhancing Shelf Life and Regulation of Membrane Associated Genes in Strawberry
Bibliographic record
Abstract
The role of hormones during fruit development and ripening in strawberry (Fragaria × ananassa) is poorly understood. In this study, two strawberry cultivars (‘Jewel’ and ‘Wendy’) were chosen based on their shelf life quality, which were intermediate and excellent, respectively. Hexanal and growth regulators were applied to the fruit as two preharvest sprays. Fruits treated with “Enhanced Freshness Formulation” (a formulation with hexanal as a key ingredient) showed improvement in the shelf life of both cultivars. Auxin application reduced loss of fruit firmness and abscisic acid was able to accelerate the ripening process without having a significant effect on the relevant fruit quality parameters. The regulation of gene expression during ripening in relation to hexanal and hormones was examined in 21 genes potentially involved in cell wall degradation. Gene expression profiles showed similar patterns in the two cultivars, with more prominent amplitude in ‘Wendy’. The expression of hormone-responsive genes responded in an antagonistic manner to exogenous hormone applications, supporting their role in ripening and fruit development. Hexanal application induced a clear reduction in the transcript level of two phospholipase D genes and other key enzymes involved in cell wall degradation. These findings indicate that ripening in strawberry is associated with the expression of specific genes and the modulation of this gene expression by hexanal supports its role in increasing fruit shelf life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".