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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corn hybrids have successfully managed O. nubilalis for more than 20 years, most available life history information is outdated.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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.558

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 head0.011
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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