Influence of wing loading on Colorado potato beetle flight
Bibliographic record
Abstract
Abstract Flight of overwintered and summer population Colorado potato beetles,Leptinotarsa decemlineataSay (Coleoptera: Chrysomelidae), with a range of wing loadings was measured following exposure to different quality diets. Beetles fed a diet of insect-resistant foliage expressingBacillus thuringiensis tenebrioniztoxins, beetles that did not feed but consumed water, and those that were starved without access to water exhibited a lower range of wing loadings than those fed conventional foliage, but there was no corresponding increase in flight frequency. Exposing potato beetles to poor food or no food resulted in a wing-loading range of 50–140 mg/cm2compared with a range of 80–200 mg/cm2for beetles fed conventional foliage. No flight was observed when wing loadings were less than 80 mg/cm2of wing surface, presumably because of other physiological processes associated with poor nutrition and not because of wing loading per se. Overwintered and summer population beetles fed a diet of conventional potato foliage did not take off when wing loading exceeded 150 mg/cm2of supporting wing surface. Similar trade-offs between flight capacity and consumption of large meals may exist for other insects.
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 | 0.000 | 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".