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Record W2765989176 · doi:10.2134/itsrj2016.06.0497

Resistance to Dicarboximide Fungicides in a Canadian Population of <i>Microdochium nivale</i>

2017· article· en· W2765989176 on OpenAlexaffabout
Ryan Gourlie, Tom Hsiang

Bibliographic record

VenueInternational Turfgrass Society research journal · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFungal Plant Pathogen Control
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIprodioneFungicideBiologyPopulationVeterinary medicineAnimal scienceHorticultureMedicine

Abstract

fetched live from OpenAlex

Isolates of Microdochium nivale suspected of resistance to iprodione [3‐(3,5‐Dichlorophenyl)‐ N ‐isopropyl‐2,4‐dioxoimidazolidine‐1‐carboxamide] were collected from a golf course in Victoria, British Columbia (BC), Canada, in Fall 2015. The 9 BC isolates and 12 other reference isolates from around the world were tested with four concentrations of iprodione: 0, 1, 10, and 100 μg mL −1 . The BC isolates showed a half maximal effective concentration (EC 50 ) range of 14.2 to 40.8 μg mL −1 with a mean of 24.2 μg mL −1 , while the non‐BC isolates showed an EC 50 range of 1.2 to 4.3 μg mL −1 with a mean of 1.9 μg mL −1 . The yielded resistance factor (EC 50 resistant/EC 50 sensitive) of 12.7 implies that these BC isolates have been selected for reduced sensitivity to iprodione. This level of resistance may be responsible for the reduced efficacy, particularly the observed reduced interval of control, but further research is needed to assess this. A test of &gt;100 isolates of M. nivale from a worldwide collection using a discriminatory concentration of 10 μg mL −1 of iprodione showed four isolates with similar levels of reduced sensitivity, but these were the only isolates from their respective populations.

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 score0.098
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.046
GPT teacher head0.337
Teacher spread0.291 · 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

Citations12
Published2017
Admission routes2
Has abstractyes

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Same venueInternational Turfgrass Society research journalSame topicFungal Plant Pathogen ControlFrench-language works237,207