Molecular methods and isolates of the entomopathogenic fungus Metarhizium anisolpliae for environmentally sustainable control of grasshoppers in Canada
Bibliographic record
Abstract
Metarhizium anisoplia var. acridum, a gyphomycetous fungus registered worldwide for grasshopper and locust control, is currently under consideration as a worldwide for grasshopper and locust control, is currently under consideration as a potential alternative to chemical insecticides for grasshopper control in Canada. Research in this thesis has contributed data required for the registration of biological control agents in Canada. A diagnostic PCR assay was developed for the specific detection of M. anisopliae var. acridum DNA. The assay was highly sensitive and effective for the detection of fungal DNA in infected grasshoppers. A survey of southern Alberta soils conducted in the spring of 2004 revealed the presence of Metarhizium spp. at low natural incidennce. Two indigenous isolates demonstrated pathogenicity when bioassayed against laboratory-reared and field collected grasshoppers. One of the isolates demonstrated virulence comparable to a commercial isolate. An analysis of historical weather data revealed that summer weather in the Prairie provinces should not preclude the efficacy of M. anisopliae var. acridum under local conditions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".