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Record W2065349534 · doi:10.1139/b02-024

Influence of host and pathogen variables on the efficacy <i>of Phoma herbarum</i>, a potential biological control agent of <i>Taraxacum officinale</i>

2002· article· en· W2065349534 on OpenAlexvenueno aff
S. Neumann, Greg J. Boland

Bibliographic record

VenueCanadian Journal of Botany · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsnot available
Fundersnot available
KeywordsTaraxacum officinaleDandelionMyceliumBiologyPhomaBiological pest controlWeedBioherbicideBotanyHost (biology)HorticultureMedicine

Abstract

fetched live from OpenAlex

Phoma herbarum Westendorp has been identified as a potential biological weed control agent (BWCA) for Taraxacum officinale Weber in turf. However, host and pathogen variables that influence the efficacy of this BWCA need to be identified to provide more optimal conditions for production and efficacy. In controlled-environment studies, 4-week-old T. officinale plants were significantly more susceptible to P. herbarum than were plants that were 6 and 8 weeks old, nonflowering but mature, budding, or flowering. Mycelial suspensions incited significantly more severe disease than conidia, and 5-day-old mycelial shake cultures incited significantly higher disease than 3-, 7-, 9-, 11-, or 13-day-old cultures. A concentration of 10 to 20% of mycelial fragments in potato dextrose broth (v/v) incited higher disease severity than 0, 40, 60, or 100%. These experiments identified several important host and pathogen variables that influence the efficacy of P. herbarum on T. officinale and established more optimal conditions for production and efficacy of this BWCA.Key words: biological weed control, bioherbicide, mycoherbicide, Taraxacum officinale, dandelion, Phoma herbarum.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 head0.014
GPT teacher head0.182
Teacher spread0.168 · 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 source (direct Gemma or distilled Codex), 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

Citations23
Published2002
Admission routes1
Has abstractyes

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