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Record W2600832835 · doi:10.1080/07060661.2017.1313782

Classification of imazalil resistance in an international collection of <i>Penicillium digitatum</i> isolates

2017· article· en· W2600832835 on OpenAlexvenueno aff
Mareli Kellerman, A. McLeod, Ilze Beukes, Lindy Joy Rose, Arno Erasmus, Paul H. Fourie

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFungal Plant Pathogen Control
Canadian institutionsnot available
Fundersnot available
KeywordsPenicillium digitatumFungicideEC50BiologyMultiplex polymerase chain reactionHorticultureVeterinary medicineGenotypeBotanyPolymerase chain reactionGeneMedicineGenetics

Abstract

fetched live from OpenAlex

A total of 213 Penicillium digitatum isolates with resistance to the fungicide imazalil (IMZ) originating from green moulded citrus fruit from several countries (South Africa, USA, Uruguay, Spain, Israel, Cyprus, Chile, Australia and Argentina) were tested for their Cyp51 IMZ-resistance group (R1 to R3) using a published multiplex PCR assay. As well, the level of resistance (measured as EC50 values) was determined. Isolates from the USA showed the highest resistance group diversity (isolates belonged to R1, R2 and R3 groups) and lowest EC50 values. The isolates from the other countries were all classified into the R3 group, except for Chile, which also contained R1 isolates. There was no correlation between the level of resistance of isolates and the resistance group genotype. In general, IMZ resistance was most commonly associated (88.3%) with the R3 group. This study is the first to investigate the distribution of IMZ resistance genotypes in P. digitatum populations from a broad international scale.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
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 head0.023
GPT teacher head0.223
Teacher spread0.200 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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