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Identification and genetic characterisation of adult plant resistance to crown rust in diploid and tetraploid accessions of Avena

2011· article· en· W2035096156 on OpenAlexaff
Adrian L. Cabral, Davinder Singh, Robert Park

Bibliographic record

VenueAnnals of Applied Biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsUniversity of Saskatchewan
FundersU.S. Department of Agriculture
KeywordsBiologyPloidyAvenaRust (programming language)SeedlingBotanyPlant disease resistanceResistance (ecology)GeneAgronomyGenetics

Abstract

fetched live from OpenAlex

The identification and genetic characterisation of adult plant resistance (APR) to crown rust, caused by Puccinia coronata f. sp. avenae (Pca), was carried out in diploid Avena strigosa and tetraploid Avena barbata accessions from diverse geographical regions. Seven accessions were found to carry APR to Pca, six of which (CIav6956, CIav7280, CIav8089, CIav9020, PI292226, PI436082) were diploid and one (PI337865) a tetraploid. All six diploid A. strigosa accessions were postulated to carry the ‘Saia’ seedling resistance to Pca (Pc15, Pc16, Pc17) in addition to the APR. Three of these six accessions (CIav6956, CIav9020, PI292226) were used to study both seedling resistance and APR, using two Pca pathotypes, one avirulent on seedlings and the second virulent on seedlings but avirulent on adult plants. The seedling resistance in each was shown to be inherited independently of the APR. In each case, APR was conferred by a single major dominant gene, based on hypersensitivity, coupled with low infection types. Allelism tests are required to determine if these three APR genes are different. This is the first report of APR to crown rust in A. strigosa and A. barbata.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.027
GPT teacher head0.273
Teacher spread0.246 · 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

Citations17
Published2011
Admission routes1
Has abstractyes

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