Microbial communities of sweet cherry ( <i>Prunus avium</i> L.) and assessment of their association with cherry slip-skin-maceration disorder
Bibliographic record
Abstract
A relatively new condition of sweet cherry (Prunus avium L.), cherry slip-skin-maceration disorder (cherry-SSMD), presumably associated with yeast species, required a detailed study looking at the microbial communities inhabiting the fruit and blossoms of commercial cherry trees. Cherry-SSMD affects the fruit quality of mainly late harvest sweet cherries and may lead to symptom development that is associated with one or more different, but typically non-pathogenic yeast species. These symptoms may be the result of significant shifts within the fruit’s normal microbiota, and may in turn be influenced by tree fruit phenology and/or environmental factors relating to variable harvest dates. Therefore, the main objective of this study was to conduct field surveys to investigate the microbial species composition on cherry blossoms and fruit. Results obtained from surveys conducted during the 2013 and 2014 growing seasons indicated that while fungal populations remained low, numbers of yeasts and bacteria continued to increase on the surface of developing fruit throughout the growing season. Species composition was also observed to be variable between years and throughout the growing seasons. However, despite general increases in microbial populations of bacteria and yeasts leading up to harvest, no specific pattern was observed to suggest a pathogenic profile that would link either microbial communities, or individual species to cherry-SSMD.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".