Effects of multiple biological control agents on <i>Drosophila suzukii</i> (Diptera: Drosophilidae) in the laboratory, greenhouse, and field
Bibliographic record
Abstract
Drosophila suzukii Matsumura is a nearly worldwide invasive pest that causes damage to ripening fruit, particularly raspberries. Biological control in an integrated pest management strategy may be an alternative to repeated insecticide applications. We evaluated the effects of using multiple commercially available agents against D. suzukii in raspberries. In the laboratory, the combination of the pupal parasitoid Muscidifurax raptorellus Kogan and Legner (Hymenoptera: Pteromalidae) and predators Orius insidiosus Say (Heteroptera: Anthocoridae) and Chrysoperla carnea Stephens (Neuroptera: Chrysopidae) reduced D. suzukii to the lowest level compared to any 1 species or 2 species combinations in a substitutive design. However, in caged plants with ripening fruit in a greenhouse, M. raptorellus and O. insidiosus together were more effective against D. suzukii than the 3 species combination. In high tunnels, M. raptorellus and O. insidiosus were ineffective against D. suzukii, and spinosad applications with or without M. raptorellus and O. insidiosus resulted in equally low numbers of D. suzukii. In the field, M. raptorellus and O. insidiosus and Pachycrepoideus vindemmiae Rondani (Hymenoptera: Pteromalidae) releases in raspberry plots with sweet alyssum were less effective against D. suzukii than spinosad applications to plots with or without sweet alyssum as a banker plant. Hymenoptera, particularly Figitidae: Eucoilinae as determined by barcoding, were more abundant in raspberries adjacent to sweet alyssum than in raspberry plots without sweet alyssum. With the discovery and redistribution of figitid parasitoids of larval D. suzukii, future research on their effects in combination with banker plants like sweet alyssum and releases of predators is needed.
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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) | 0.001 | 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 | 0.001 |
| 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".