Comparing apples and oranges (and blueberries and grapes): fruit type affects development and cold susceptibility of immature <i>Drosophila suzukii</i> (Diptera: Drosophilidae)
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Drosophila suzukii Matsumura (Diptera: Drosophilidae) is a cosmopolitan polyphagous pest on unripe soft-skinned fruits. We sought to determine (1) temperature treatments that could be used to kill immature D. suzukii in fruit or packaging and (2) whether development on different fruits led to differences in cold tolerance of immature D. suzukii . We reared animals from egg on a banana-based laboratory diet and diets made of apple ( Malus domestica Borkhausen; Rosaceae), blueberry ( Vaccinium Linnaeus; Ericaceae), cherry ( Prunus avium Linnaeus; Rosaceae), grape ( Vitis Linnaeus; Vitaceae), orange ( Citrus × sinensis (Linnaeus) Osbeck; Rutaceae), raspberry ( Rubus Linnaeus; Rosaceae), or strawberry ( Fragaria × ananassa Duchesne; Rosaceae) homogenate in agar and measured development time, adult body size, and cold tolerance. Diet type had complex effects on development time; in particular, D. suzukii reared on apple-based or blueberry-based diets developed more slowly to a smaller adult body size than those on other diets. Cold exposure killed eggs and both first and second instars. Survival of 24 hours at +4 °C by feeding third instars was lowest in blueberry and cherry. Five days at +0.6 °C killed all feeding third instars; this treatment is likely sufficient for targeting D. suzukii in fruit. Two hours at −5 °C or −6 °C killed all wandering third instars and pupae; this exposure could be sufficient for sanitation of packaging.
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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 | 0.001 |
| 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