PSXI-4 Beauveria bassiana to control the mealworm Alphitobius diaperinus in chicken barns
Bibliographic record
Abstract
Abstract One of the most common insects in poultry houses is the mealworm Alphitobius diaperinus, also known as the darkling beetle. Immature (larvae) and adults feed on seeds spilled on the ground or from poultry droppings. In addition to structural damage, this insect can also be a vector of diseases that can affect birds. In addition, the indigestible shell of the insect can cause digestion problems for birds, and thus affect the profitability of production. It is considered impossible to eliminate the populations of mealworms, and in organic poultry production, the control options are limited. The mycoinsecticide BioCeres WP, based on the fungus Beauveria bassiana, and which controls aphids, has been proposed to control the mealworm A. diaperinus in chicken barns. 450 adult mealworms from a commercial chicken barn were randomly distributed in 9 containers (1 m2) containing 10 cm of wood shavings litter and chicken feed. BioCeres WP was applied by spraying two applications of 40 ml of 10 g/L solution (representing 4 x 10^9 conidia per m2 per application). Mealworms were housed during a broiler batch at the chicken barn they were harvested from and received one of the following treatments: 1) control, water spraying; 2) BioCeres WP treatment. 3 repetitions for control and 6 for BioCeres WP were performed. BioCeres WP increased the mortality rate of mealworms (+101%, P < 0.02; 17.8% vs. 8.6%), compared to untreated mealworms, 28 days after treatment. Mortality rates were affected from day 14 until day 28 after treatment. A trial using 640 broilers in 32 pens revealed no adverse effect on growth performance or health. In summary, BioCeres WP could be involved in a biological strategy to control the mealworm Alphitobius diaperinus in chicken barns.
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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".