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Record W7008306666

Biological implications of field-evolved Cry1F resistance and pheromone race in European corn borer, Ostrinia nubilalis Hübner

2022· dissertation· en· W7008306666 on OpenAlexaffabout

Bibliographic record

VenueThe Atrium (University of Guelph) · 2022
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOstriniaEuropean corn borerPyralidaeBacillus thuringiensisGenetically modified maizePEST analysisResistance (ecology)
DOInot available

Abstract

fetched live from OpenAlex

European corn borer, Ostrinia nubilalis Hübner, is a major corn pest in North America. Ostrinia nubilalis is managed using transgenic corn (Zea mays L.) producing insecticidal toxins from Bacillus thuringiensis Berliner (Bt). Field-evolved resistance to the Cry1F toxin was first discovered in Nova Scotia, Canada, in 2018. Since Bt corn hybrids have successfully managed O. nubilalis for more than 20 years, most available life history information is outdated. The objectives of this thesis were to determine pheromone race of O. nubilalis across Canada, fitness of Cry1F-resistant O. nubilalis, and inheritance of Cry1F resistance. Ostrinia nubilalis across Canada, including Cry1F-resistant strains, are primarily Z-race, indicating mitigation strategies can be focused on corn. No fitness costs were observed in the Cry1F-resistant strain, so Cry1F resistance is likely to persist in the absence of Cry1F. Field-evolved Cry1F-resistance is autosomal recessive, so the high-dose/refuge strategy did not fail due to Cry1F resistance inheritance pattern.

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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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