Insect Growth Disruptors Cause Mouthpart Malformations, Inhibition of Feeding, and Mortality in the Neotropical Brown Stink Bug Euschistus heros (Hemiptera: Pentatomidae)
Bibliographic record
Abstract
The Neotropical brown stink bug, Euschistus heros, is the most important sucking pest of soybean crops, quantitatively and qualitatively affecting grain and seed. This study aimed to determine mouthpart deformities, feeding inhibition, and E. heros nymphs’ mortality when in contact with insect growth disruptors (IGDs). The effects of two insecticides of the chitin biosynthesis inhibitor group (CBIs), lufenuron and diflubenzuron, and the juvenile hormone analog pyriproxyfen were tested in the laboratory. CBI application promoted mouthpart deformities, feeding inhibition, alteration of metamorphosis, and mortality of E. heros nymphs. Although pyriproxyfen did not cause mouthpart deformation, it caused certain mortality for nymphs, possibly due to physiological disorders. Lufenuron caused feed inhibition and mortality in less time when compared with diflubenzuron and pyriproxyfen. It was also more toxic to 4th instar nymphs. The insecticides, when used in higher concentrations, increased nymph’s mortality in less time. Nymphs with deformed mouthparts were unable to feed and died. All IGDs in the tested concentrations caused 100% mortality and prevented adult formation.
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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".