Relationship Between <i>Drosophila suzukii</i> and Postharvest Disorders of Sweet Cherry (<i>Prunus avium</i>)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it