Relationship Between <i>Drosophila suzukii</i> and Postharvest Disorders of Sweet Cherry (<i>Prunus avium</i>)
Bibliographic record
Abstract
Spotted wing drosophila, Drosophila suzukii, utilizes intact ripe fruits for oviposition and larval development. Sweet cherry (Prunus avium) and D. suzukii share a saprophytic microbial community, or microbiome, that colonizes the interior and exterior of the fruit, which benefits the nutrition and development of the flies. Some of the microbes, specifically yeast species, are also reportedly associated with a newly described slip-skin-like disorder of sweet cherries. In British Columbia (BC), Canada, contact-based insecticides and fungicides are applied to sweet cherry to suppress D. suzukii populations and cherry diseases, respectively. To date, no resistance to the organophosphate insecticide, malathion, in D. suzukii field or laboratory populations has been reported. Laboratory bioassays with malathion-incorporated diet determined that when microorganisms associated with the D. suzukii microbiome were sterilized with potassium metabisulfite (KMS), survival of the flies was significantly affected. These findings led to speculation that malathion residues on cherry fruit may be degraded due to the greater presence of yeast species that are spared as a result of selective fungicide use patterns in cherry orchards. In orchard trials, KMS was shown to be effective in suppressing the surface yeast counts on cherry, but this did not impact symptoms of slip-skin-like disorder. Based on these findings, it is recommended that other products functioning as systemic biocides need to be investigated to address these two microbial-connected pest management concerns in sweet cherries.
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 | 0.001 | 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".