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Record W1966296192 · doi:10.1139/b01-033

The population structure of<i>Armillaria ostoyae</i>and<i>Armillaria sinapina</i>in the central interior of British Columbia

2001· article· en· W1966296192 on OpenAlexvenueaboutno aff
Jeremy R. Dettman, Bart Kamp

Bibliographic record

VenueCanadian Journal of Botany · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsArmillariaBiologyPopulationBotanyEcologyDemography

Abstract

fetched live from OpenAlex

The population structures of Armillaria ostoyae (Romagn.) Herink and Armillaria sinapina Bérubé &amp; Dessureault were investigated at a study site near Williams Lake in the central interior of British Columbia. One hundred and twenty eight fungal isolates were examined from nine infection centers and individual genets were delineated using random amplified polymorphic DNA (RAPD) analysis and somatic incompatibility tests. Six A. ostoyae genets ranging in size from 0.70 to &gt;15 ha were detected. The population structure of A. ostoyae was consistent with a clonal reproductive strategy, and infection centers were occupied by single A. ostoyae genets or ramets thereof. Eighteen relatively small A. sinapina genets were detected, with infection centers being occupied by multiple genets. Armillaria sinapina appears to be more pathogenic to coniferous hosts than previously reported in the region. Armillaria ostoyae appears to initiate new infections of available substrate via airborne basidiospores at a lower frequency than A. sinapina. However once established, A. ostoyae can spread quite aggressively and capture significant amounts of secondary resources, while A. sinapina is unable to do so. The results of somatic incompatibility tests used to differentiate genets corresponded with the results of RAPD analysis, with only one minor discrepancy.Key words: Armillaria, RAPD, population structure, genet, ramet, clone.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.673

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)0.0010.000

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 head0.176
Teacher spread0.170 · 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 designObservational
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

Citations43
Published2001
Admission routes2
Has abstractyes

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