Potential use of <i>Beauveria bassiana</i> in combination with <i>Scleroderma guani</i> for improved control of <i>Apriona germari</i>
Bibliographic record
Abstract
Beauveria bassiana, an important entomogenous fungus, and Scleroderma guani, a hymenopteran parasitoid, are the two main biological control agents for managing the spread of Apriona germari. The aim of the present study was to assess the potential value of combining the two agents for the purpose of controlling A. germari. First, the relative virulence of B. bassiana against both A. germari and S. guani was determined. The results showed that among the seven strains of B. bassiana, isolate BI05, which was isolated from another cerambycid, was far more virulent against A. germari (mortality, 71.75%) than it was against S. guani (mortality, 34.82%). The parasitic efficiency of S. guani against the larvae of A. germari was significantly affected by the size of the host and the host to parasitoid ratio. In this study, third-instar A. germari larvae and a 1:3 host:parasitoid ratio of inoculation were used to evaluate the parasitization rate achieved by S. guani that were previously exposed to B. bassiana BI05. The mortality of A. germari treated with the previously inoculated S. guani was 73.30%. This was significantly greater than that of S. guani alone or B. bassiana alone (57.20% and 46.21%, respectively). The results indicated that the efficiency of both S. guani and B. bassiana are improved when used in combination, and this is promising for future control of A. germari.
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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 | 0.001 |
| 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".