Morphological, anatomical, and ultrastructural changes in <i>Vaccinium corymbosum</i> fruits during ontogeny
Bibliographic record
Abstract
Given their attractive appearance and flavour, as well as high antioxidant content, Vaccinium corymbosum L. fruits are greatly appreciated by consumers. These quality traits are primarily dependent on pomological characteristics of the cultivar. Vaccinium corymbosum ‘Bluecrop’ is one of the most popular and valuable cultivars of highbush blueberry; however, its fruits become soft shortly after harvesting. Changes in the fruit structure and in the content of phenolic compounds and, in particular, emergence of some traits related to fruit firmness and shelf life, were analysed in the surface layers of ‘Bluecrop’ fruits from the stage of flowering through the fruit set stage to harvest maturity using light microscopy, transmission electron microscopy, and scanning electron microscopy. The study involved investigations of qualitative and quantitative changes in the development and microstructure of epicuticular wax, cuticle, epidermis, hypodermis, and stone cells, and analysis of the presence of tannins and anthocyanins. Moreover, it was found that the development of many traits associated with fruit firmness and shelf life started in the initial period of ontogeny. These results can be useful for the researchers developing new cultivars in detection of early manifestations of developmental features of specific quality traits and in comparative analyses of blueberry cultivars differing in fruit firmness and shelf life.
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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) | 0.001 | 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".