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Record W2964696957 · doi:10.4039/tce.2019.44

Two methods for rearing the striped flea beetle <i>Phyllotreta striolata</i> (Coleoptera: Chrysomelidae) under laboratory conditions

2019· article· en· W2964696957 on OpenAlexaffabout
Tharshinidevy Nagalingam, Alejandro C. Costamagna

Bibliographic record

VenueThe Canadian Entomologist · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFlea beetleCanolaBiologyFleaBrassicaceaeBrassica rapaBrassica oleraceaBrassicaPEST analysisLongevityBotanyHorticultureZoology

Abstract

fetched live from OpenAlex

Abstract The striped flea beetle, Phyllotreta striolata (Fabricius) (Coleoptera: Chrysomelidae), is a major pest of canola (Brassica Linnaeus, Brassicaceae) on the Canadian prairies. The previously published methods to rear striped flea beetles under laboratory conditions are not sufficient to maintain laboratory colonies over a sustained period of time. Here, we describe two methods to rear striped flea beetles in the laboratory. The first method produces both immature stages and adult flea beetles using Napa cabbage (Brassica napa subsp. pekinensis (Loureiro) Hanelt) and canola as food sources. Beetles reared using this method produced an average of 9.7 ± 4.5 eggs, had a juvenile development period of between 26 and 33 days, and had an adult longevity between 17 and 55 days. Between 62% and 90% of the colony-reared eggs resulted in the successful development to an adult beetle. The second method uses canola as the only host, and facilitates easy access to high quantities of adult beetles. This method resulted in a six-fold to nine-fold increase in adult numbers per generation. Developmental time from adult to adult ranged from 25 to 30 days. Our two methods facilitated rearing striped flea beetles for several generations in the laboratory with or without hibernation.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.029
GPT teacher head0.292
Teacher spread0.263 · 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 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

Citations12
Published2019
Admission routes2
Has abstractyes

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