Conidium production by insect pathogenic fungi on commercially available agars
Bibliographic record
Abstract
AIMS: Conidium production by three species of insect pathogenic fungi, Metarhizium anisopliae, Beauveria bassiana and Verticillium lecanii, was assessed on various depths and types of commercially available agars. METHODS: Conidium production was assessed after 14 d of growth on commercially available media as well as at three different agar depths. RESULTS: Metarhizium anisopliae and B. bassiana isolates showed greatest conidium production on potato dextrose agar (PDA) at a depth of 2 mm, whereas V. lecanii showed greatest conidium production on yeast extract-peptone-dextrose agar (YPDA) regardless of agar depth. Optimum conidium production for M. anisopliae and B. bassiana was not only dependent upon the isolate used but also on the medium type and agar depth. SIGNIFICANCE AND IMPACT OF THE STUDY: Conidia are the infective structures for insect pathogenic fungi and this study suggests a rationale basis for consistent conidium production for laboratory and commercial practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| 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".