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Record W7028053891

The effects of bacterial and jasmonic acid treatments on insects of canola

2008· dissertation· en· W7028053891 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2008
Typedissertation
Languageen
FieldEngineering
TopicEngineering and Materials Science Studies
Canadian institutionsnot available
FundersCanola Council of Canada
KeywordsJasmonic acidCanolaDiamondback mothTrichoplusiaAphidInsect
DOInot available

Abstract

fetched live from OpenAlex

Two strains of plant growth-promoting rhizobacteria, Pseudomonas chlororaphis (PA23) and Bacillus amyloliquefaciens (BS6), can control some fungal diseases of canola through production of bacterial metabolites and through induced systemic resistance, which is initiated by the signalling molecule jasmonic acid. Direct application of jasmonic acid activates defence-related compounds and influences insect herbivory in canola. Field and laboratory studies investigated the effects of the two bacteria and of jasmonic acid on insects of canola. In the field there were no consistently significant effects of treatment on insects sampled by beat cloth or sweep net, level of flea beetle injury, canola yield or quality. In the laboratory, jasmonic acid significantly increased oviposition and decreased larval feeding in diamondback moth (Plutella xylostella) and slowed development and reduced reproduction in turnip aphid (Lipaphis erysimi). The effects of jasmonic acid on canola were systemic. Analysis of leaf tissue showed significant effects of treatment on defence-related compounds.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.165
Teacher spread0.160 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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