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Record W2095069429 · doi:10.4141/cjps08074

Bacterial wilt resistance in kidney beans

2008· article· en· W2095069429 on OpenAlexfundvenueaboutno aff
R. L. Conner, Parthiba Balasubramanian, R. S. Erickson, Henry C. Huang, H. Henning Mündel

Bibliographic record

VenueCanadian Journal of Plant Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsnot available
FundersAgriculture and Agri-Food CanadaUniversity of Guelph
KeywordsBacterial wiltPhaseolusCultivarDry beanBiologyOrange (colour)HorticulturePlant disease resistanceBotanyGene

Abstract

fetched live from OpenAlex

Bacterial wilt, caused by Curtobacterium flaccumfaciens pv. flaccumfaciens, is a widespread problem of dry beans on the Canadian prairies and is listed as a quarantine disease by some countries. The development of resistant cultivars is one of the most effective methods for controlling bacterial wilt. Fourteen kidney bean cultivars were screened against the three variants (yellow, orange and purple) of C. flaccumfaciens pv. flaccumfaciens. High levels of resistance to the three variants were observed in the light red kidney bean cultivars AC Litekid, Chinook 2000 and Redkanner as well as the dark red kidney bean cultivars Cabernet and Red Hawk. These five resistant kidney bean cultivars should be useful sources of bacterial wilt resistance in dry bean breeding programs. Neither of the two white kidney bean cultivars tested consistently showed high levels of resistance to all of the color variants of the bacterial wilt pathogen. Key words: Phaseolus vulgaris, kidney bean, bacterial wilt, Curtobacterium flaccumfaciens pv. faccumfaciens, yellow variant, orange variant, purple variant, resistance

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.183
Teacher spread0.161 · 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

Citations14
Published2008
Admission routes3
Has abstractyes

Explore more

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