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Record W2067471879 · doi:10.1603/0046-225x-31.6.1135

Oviposition Preferences of Bertha Armyworm<i>Mamestra configurata</i>Walker (Lepidoptera: Noctuidae) on Different Crucifer Cultivars and Growth Stages

2002· article· en· W2067471879 on OpenAlexaff
Bryan J. Ulmer, Cedric Gillott, Martin A. Erlandson

Bibliographic record

VenueEnvironmental Entomology · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsUniversity of SaskatchewanAgriculture and Agri-Food Canada
Fundersnot available
KeywordsBiologyCultivarLepidoptera genitaliaBrassicaNoctuidaeHorticultureSinapisLarvaBotanyAgronomy

Abstract

fetched live from OpenAlex

Bertha armyworm, Mamestra configurata Walker, oviposition preferences were examined using choice and no-choice experiments with intact cruciferous plants. Previous larval feeding experiments had indicated that some Brassica juncea L., Sinapis alba L., and B. carinata L. lines were relatively resistant to bertha armyworm feeding. To examine oviposition preferences, a representative cultivar from each species was compared with the Brassica napus L. cultivar AC Excel using plants at the full-flower stage in a choice experiment. The S. alba cultivar AC Pennant received the greatest number of eggs, despite being relatively resistant to larval feeding and offering the least amount of foliage among the plants tested. AC Excel was also compared with the B. juncea cultivar AC Vulcan in dual-choice and no-choice experiments. Bertha armyworm oviposition was substantially greater on AC Excel than on AC Vulcan in all experiments. The effects of crop phenology on oviposition were examined using three growth stages (preflower, full-flower, and pod) of B. napus AC Excel in choice tests. The number of egg masses and total number of eggs on each plant were used to measure oviposition. The full-flower plants were significantly more preferred for oviposition than plants in preflower or pod stages. Bertha armyworm laid most eggs in the upper portion of the crop canopy on the underside of leaves.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.996

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)0.0050.000

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 head0.187
Teacher spread0.176 · 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.

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

Citations19
Published2002
Admission routes1
Has abstractyes

Explore more

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