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Record W2624909655

Statewide survey for streptomycin-resistant fire blight in orchards

2012· article· en· W2624909655 on OpenAlexaboutno aff
Kerik D. Cox, Herb S. Aldwinckle, Julie Carroll, Thomas J. Bürr

Bibliographic record

VenueeCommons (Cornell University) · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsFire blightStreptomycinBlightForestryGeographyAgroforestryBiologyEnvironmental scienceAgronomyMicrobiologyErwiniaAntibiotics
DOInot available

Abstract

fetched live from OpenAlex

Streptomycin is the industry standard for managing fire blight on apples and pears. In 2002, streptomycin-resistance was confirmed in Wayne County and eradicated through prompt action. In October 2011, streptomycin-resistance was confirmed in four apple blocks in Wayne and Ontario Counties. We conducted a statewide survey in 2012 to locate and characterize any additional resistant bacterial populations. A total of 174 samples were collected. Erwinia amylovora was isolated from 129 of these and 15 of these isolates were resistant to streptomycin (11.6%). Preliminary phylogenetic results show that all streptomycin-resistant isolates carry the streptomycin resistance genes, strA and strB, on transposon Tn5393 which resides on the non-conjugative plasmid, pEa29, meaning that the isolates had to be spread physically. The survey found seven new locations in which resistant bacteria are present in Wayne, Ontario, Monroe, Orleans, and Niagara counties. These counties are now considered 'High Risk Areas' for streptomycin-resistant fire blight in 2013. To prepare for the 2013 growing season, we prepared new sample submission guidelines and fire blight best IPM practices for distribution by faculty and Extension educators, at the winter fruit schools, and at the Empire State Producers Exp

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 score0.111
Threshold uncertainty score0.608

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 head0.032
GPT teacher head0.215
Teacher spread0.183 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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