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Record W6903600498 · doi:10.1139/cjps2013-085

Marker-assisted dissection of anthracnose resistance in the dry bean cultivar Morden003

2013· article· en· W6903600498 on OpenAlexaboutno aff

Bibliographic record

VenueBioOne Complete (BioOne) · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsCultivarLocus (genetics)Resistance (ecology)GeneGenetic linkageDry beanPlant disease resistance

Abstract

fetched live from OpenAlex

Boersma, J. G., Conner, R. L., Balasubramanian, P. M., Yu, K. and Hou, A. 2013. Marker-assisted dissection of anthracnose resistance in the dry bean cultivar Morden003. Can. J. Plant Sci. 93: 1115-1123. The dry bean cultivar Morden003 is resistant to anthracnose races 73 and 105, the two most prevalent races in western Canada. Previous studies found that Morden003 carried markers OF10530r, SCAreoli and SAS13 that are linked to the Co-1, Co-2 and Co-4 resistance genes on chromosomes Pv01, Pv11 and Pv08, respectively. Morden003 had a reported resistance spectrum similar to three other cultivars that carry the Co-1 5 resistance gene. Using F2 and F2:3 populations from the reciprocal crosses of Morden003/OAC Rex, we mapped two race-specific resistance gene loci. An examination of known anthracnose resistance and other core markers showed no evidence of resistance being associated with the Co-1, Co-2, or Co-4 loci. Instead, the resistance genes were co-located in the vicinity of the Co-3 locus on Pv04. They were 2 cM apart and flanked by markers SAH181100 and BM161. The map generated in this research also showed strong linkage of the anthracnose resistance loci to markers SW12, PVctt001 and SF10, which were associated with the Co-3 and Co-10 loci by previous researchers. A weak, distant linkage of marker SB12 to the Co-3 locus was also detected.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.177
GPT teacher head0.224
Teacher spread0.047 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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