Effect of Surround WP on Behavior and Mortality of Apple Maggot (Diptera: Tephritidae)
Bibliographic record
Abstract
Apple maggot, Rhagoletis pomonella (Walsh) (Diptera: Tephritidae), is a key pest in apple (Malus spp.) production areas located in the northeastern and midwestern United States and the eastern provinces of Canada. The development of Surround WP has offered a new approach for controlling apple maggot and other tephritid species, because this material is considered to be compatible with advanced integrated pest management and organic production systems. We conducted studies aimed at identifying the behavioral and biological effects of this material on apple maggots. Specifically, we examined the effect of Surround WP on the visual ecology of adult flies under field conditions, on tactile responses of flies in semifield trials, and on fly mortality in laboratory-based-bioassays. We demonstrated that an even coating of white particles over a fruit-mimicking sphere surface reduced visual attractiveness. We also found that spotty-coated fruit-mimicking spheres (meant to mimic ripe fruit bearing an uneven coating of Surround WP) were perceived by flies as not having the ideal round silhouette shape stimulus. Surround WP served as a tactile deterrent; the residence time of females introduced on to treated fruit was much shorter compared with untreated fruit. Surround WP also had a toxic effect on both adult apple maggot and Rhagoletis suavis (Loew); flies exposed to and forced to stand on Surround-treated surfaces died in <2 d in all trials. The combined effectiveness of Surround WP is based on a reduction in the attractiveness of fruit-based visual cues, an increase in the likelihood of flies leaving treated surfaces due to tactile deterrence, and a potential for increased mortality due to exposure to Surround WP particles.
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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 | 0.000 | 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) | 0.001 | 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".