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Record W2154269414 · doi:10.4039/n10-030

Behaviour of <i>Sitodiplosis mosellana</i> (Diptera: Cecidomyiidae) on spring wheat spikes with and without oviposition deterrence

2010· article· en· W2154269414 on OpenAlexafffund
Ali Hosseini Gharalari, M.A.H. Smith, S. L. Fox, R.J. Lamb

Bibliographic record

VenueThe Canadian Entomologist · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsUniversity of Manitoba
FundersAgriculture and Agri-Food Canada
KeywordsCecidomyiidaeBiologyMidgePoaceaeAgronomyBotanyHorticultureLarva

Abstract

fetched live from OpenAlex

Abstract Wheat, Triticum L. (Poaceae), varieties with deterrence to oviposition by the wheat midge, Sitodiplosis mosellana (Géhin) (Diptera: Cecidomyiidae), can be useful in reducing seed damage. The behaviour of ovipositing females on spring wheat, T. aestivum L., with and without oviposition deterrence was investigated to account for observed differences in oviposition on deterrent and nondeterrent hosts. On deterrent wheat, 34% of females landing oviposited compared with 100% of females landing on nondeterrent wheat. The sequence of female behaviours just prior to egg-laying on deterrent spikes was similar to that on nondeterrent spikes. The length of time required to lay an egg and mean egg-batch size were similar on deterrent and nondeterrent wheat, but females spent nearly twice as long on the latter. After landing on deterrent wheat, females took longer to begin ovipositing and longer to leave after the last oviposition event than did females on nondeterrent wheat, which further reduced the time available for oviposition on deterrent compared with nondeterrent wheat. As a result of these behavioural differences, deterrence reduced oviposition by more than 60%.

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 score0.009
Threshold uncertainty score0.019

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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

Citations3
Published2010
Admission routes2
Has abstractyes

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