Variation in virulence of <i>Beauveria bassiana</i> isolates and its relatedness to some morphological characteristics
Bibliographic record
Abstract
Ten Beauveria bassiana isolates were characterized using the following parameters: virulence, morphological measurements, germination in solid and liquid media, in vitro growth and physiological changes in liquid media. There were significant differences in mortality of second-instar larvae of the diamondback moth (DBM), Plutella xylostella (Lepidoptera: Plutellidae) and the Colorado potato beetle (CPB), Leptinotarsa decemlineata (Coleoptera, Chrysomelidae) according to isolate used (DBM; 14.51–53.37%, CPB; 25.05–74.07%). The most virulent isolates to DBM and CPB were KCF107 (soil origin) and KCF106 (Chilo suppressalis origin), respectively. Several morphological and physiological characteristics of isolates were evaluated for a possible link to virulence against both insect species. Special mean diameter (2.45–3.58 µm) and area of conidia (5.72–10.25 µm2) were significantly different among isolates. Time for 50% of conidia to germinate (GT50) varied from 11 to 21 h depending on isolate. There was no correlation to virulence of size of conidia, GT50, red pigment production and mycelial growth. Acidity of 7-day-old broth cultures of isolates was positively correlated with virulence. Iranian isolates KCF106 and KCF107 were the most promising and virulent isolates but field testing is needed to further evaluate their potential for use in DBM and CPB management.
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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 | 0.000 |
| 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".