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<i>In vitro</i> inhibition of <i>Heterobasidion annosum</i> by <i>Phaeotheca dimorphospora</i>

2001· article· en· W2029782164 on OpenAlexafffundabout
Geneviève Roy, G. Bussières, G. Laflamme, M. Dessureault

Bibliographic record

VenueForest Pathology · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsNatural Resources CanadaUniversité LavalCégep de Rivière-du-Loup
FundersCanadian Forest ServiceNatural Sciences and Engineering Research Council of CanadaU.S. Forest Service
KeywordsHeterobasidion annosumBiologyFungusPathogenMyceliumPicea abiesIn vitroBotanyMicrobiologyPinus <genus>AgarAntifungalAgar plateHorticultureBacteriaBiochemistry

Abstract

fetched live from OpenAlex

The antagonistic fungus Phaeotheca dimorphospora has been tested in vitro on agar plates and wood discs to evaluate its potential use against P (Eastern Canada) and S (Finland) intersterility groups strains of Heterobasidion annosum using two methods. Production of antifungal metabolites by P. dimorphospora was demonstrated on agar plates as well as on Pinus resinosa and Picea abies discs using the bi‐layer technique. Diffusible metabolites inhibited the growth of the pathogen on both substrates. Direct confrontation on wood discs showed that a 7‐day period of advanced growth by P. dimorphospora completely prevented the colonization of the tissue by H. annosum . Control was partial when the antagonist had only one day of advanced growth. Growth inhibition was superior against S group strains with less than 1% of the samples colonized by H. annosum compared with 22% for P group strains. Moreover, P. dimorphospora was isolated in more than 83% of the samples in the absence of the pathogen in both wood species. In vitro tests demonstrated that P. dimorphospora is able to colonize red pine as well as Norway spruce tissue and to use wood components for the production of antifungal metabolites.

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 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 categoriesnone
Consensus categoriesnone
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 score0.038
Threshold uncertainty score0.683

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)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.208
Teacher spread0.203 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2001
Admission routes3
Has abstractyes

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