Effects of<i>Miscanthus</i> × <i>giganteus</i>and Wheat Straw on Behavior, Survival, and Growth of<i>Alphitobius diaperinus</i>(Coleoptera: Tenebrionidae)
Bibliographic record
Abstract
The lesser mealworm, Alphitobius diaperinus (Panzer), damages poultry barns, vectors poultry diseases, inhibits poultry weight gain, and consumes poultry feed. Management of the pest is a challenge because of its resistance to several insecticides, difficulty in treating infestations that can be concealed in locations within barns, and the high populations that occur around spilled poultry feed. However, few A. diaperinus were observed in Miscanthus × giganteus straw in a case where it was used as an alternative bedding material in open-floor poultry production in Ontario. To investigate this, we tested the effects of Miscanthus × giganteus and wheat straw on A. diaperinus behavior, survival, and growth in laboratory experiments. In these experiments, adult beetles preferred to inhabit wheat straw, whereas late-instar larvae preferred Miscanthus × giganteus . As a result, more adult beetles emerged from pupae in Miscanthus × giganteus than in wheat, but there was no difference in emerged beetle weight. Early-instar larvae survived and increased in weight at similar rates in both straw types. Thus, while adult A. diaperinus strongly preferred wheat straw given a choice, late-instar preference and pupae emergence suggest that Miscanthus × giganteus may not be useful for suppressing A. diaperinus populations.
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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".