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Record W1986476861 · doi:10.1094/pdis-91-7-0814

Virulence Diversity in the Population of <i>Bipolaris sorokiniana</i>

2007· article· en· W1986476861 on OpenAlexaffabout
Habibollah Ghazvini, A. Tekauz

Bibliographic record

VenuePlant Disease · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBipolarisVirulenceBiologyPathosystemGenotypePopulationPathogenHordeum vulgareGenotypingGeneticsMicrobiologyBotanyPoaceaeGene

Abstract

fetched live from OpenAlex

Spot blotch, caused by Bipolaris sorokiniana, is a damaging disease of barley in Canada, especially in the prairie region (Manitoba, Saskatchewan, and Alberta) where most of Canadian crops are produced. Considerable interaction between isolates of the pathogen and barley genotypes necessitates the evaluation of the virulence diversity in the B. sorokiniana population in order to deploy effective resistance against the pathogen. The virulence diversity of 127 B. sorokiniana isolates from Canada and other countries was evaluated on 12 barley genotypes. Different virulence patterns were detected across B. sorokiniana isolates and eight virulence groups were identified using qualitative analysis of the virulence data. Results indicate broader virulence diversity in the pathogen population in the eastern prairie region of Canada, especially in Manitoba, compared with that previously reported. One group of isolates collected from Manitoba displayed a virulence pattern which had not been reported previously. This group was moderately virulent on most differential lines, including American six-rowed barley genotypes considered to possess durable resistance against B. sorokiniana. Although the classical method of pathotype identification can be exploited to analyze interactions in the barley-B. sorokiniana pathosystem, the continuous range of infection phenotypes found suggests that a quantitative analysis of the complex interactions occurring may be warranted.

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 score0.015
Threshold uncertainty score0.129

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 head0.024
GPT teacher head0.217
Teacher spread0.193 · 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

Citations70
Published2007
Admission routes2
Has abstractyes

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