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Record W4249585808 · doi:10.1080/07060660909507575

Physiologic specialization of<i>Puccinia triticina</i>, the causal agent of wheat leaf rust, in Canada in 2006

2009· article· en· W4249585808 on OpenAlexaffvenueabout
Brent McCallum, P. Seto-Goh

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsAgriculture and Agri-Food Canada
FundersMinistry of Food and Drug Safety
KeywordsVirulencePhenotypeBiologyPathogenWheat leaf rustInoculationRust (programming language)Puccinia reconditaPopulationMicrobiologyBotanyGeneticsPoaceaeGeneHorticultureMedicine

Abstract

fetched live from OpenAlex

Puccinia triticina, the causal agent of wheat leaf rust, was collected from across Canada in 2006 to determine the virulence spectrum of this pathogen. From 353 single-pustule isolates, 31 virulence phenotypes were identified. There were 20 virulence phenotypes among 315 isolates from Manitoba and Saskatchewan. The most common phenotypes were TDBG (56.2%), TDBJ (18.7%), and MFPS (5.4%). The frequency of virulence to Lr24 (86.3%) was very high, whereas it was very low for Lr16 (0.3%) when compared with years prior to 2005. From 19 isolates collected in Ontario, 14 isolates were MFDS; 2 were TBDS; and 1 isolate each were MBMR, MDNS, and TFPJ. MFDS was the only virulence phenotype identified from three isolates collected in Quebec. There was a similar rise in 2006 in the frequency of virulence to Lr24 in Ontario (84.2%) and Quebec (100%), although different virulence phenotypes were responsible for this increase in eastern Canada compared with western Canada. Nine virulence phenotypes were identified among 16 isolates from Prince Edward Island (PEI). The most common of these were MCPR (four isolates), MBPR (three isolates), and MBDS and MDDS (two isolates each). Five of these nine virulence phenotypes were not found in the rest of Canada in 2006 nor in the past 5 years. This is an indication that the PEI population is somewhat distinct from those in the other regions of Canada. When 50 isolates representing most of the virulence phenotypes and the different regions in Canada were inoculated onto adult plants, there were 47, 45, 1, and 30 isolates virulent to Lr12, Lr13, Lr35, and Lr37, respectively. These 50 representative isolates were also inoculated on 12 additional ‘Thatcher’ near-isogenic lines at the seedling stage, and there were 25, 46, 48, 50, 43, 43, 2, and 25 isolates virulent to Lr2b, Lr3bg, Lr14b, Lr15, Lr20, Lr23, Lr25, and Lr28, respectively. All isolates tested were avirulent to Lr19, Lr21, Lr22a, Lr29, Lr32, and Lr34

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
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 head0.016
GPT teacher head0.189
Teacher spread0.174 · 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 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

Citations30
Published2009
Admission routes3
Has abstractyes

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