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Conidium production by insect pathogenic fungi on commercially available agars

2002· article· en· W2071779353 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLetters in Applied Microbiology · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEntomopathogenic Microorganisms in Pest Control
Canadian institutionsBrock University
Fundersnot available
KeywordsConidiumBeauveria bassianaMetarhizium anisopliaeBiologyAgarBassianaMetarhiziumPathogenic fungusBotanyGerminationHorticultureFungusMicrobiologyBiological pest controlBacteria

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.014
GPT teacher head0.169
Teacher spread0.154 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it