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Record W1978295122 · doi:10.4141/p99-107

Effects of red versus white wheat bran on rate of growth and feeding of some stored-product beetles

2000· article· en· W1978295122 on OpenAlexaffvenueabout
N. D. G. White, C. J. Demianyk, Paul G. Fields

Bibliographic record

VenueCanadian Journal of Plant Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSitophilusBostrichidaeBiologyCurculionidaeBranAgronomyRed flour beetleInsectLarvaRice weevilCultivarRed CloverPEST analysisHorticultureBotanyRaw materialEcology

Abstract

fetched live from OpenAlex

The red pigment in the seed coat of hard red spring wheat is produced by phenolics. Most of the wheats grown in western Canada are hard red spring varieties; however cultivars with a whiter seed coat are being developed for their better milling and baking attributes. Because phenolics serve to protect some plants against insect attack, we compared the susceptibility of white and red spring wheat to attack by stored-product insects. Tenebrio molitor (Tenebrionidae) larvae reared on red wheat bran gained less weight than larvae reared on white wheat bran but this insect has a long developmental period and does not attack sound grain. Tribolium castaneum (Tenebrionidae) pupal weights were not affected by the type of wheat milled products on which the larvae fed. A feeding bioassay showed that red bran did not act as an antifeedant for T. molitor, T. castaneum, or Sitophilus oryzae (Curculionidae). However, it acted as a feeding stimulant for Rhyzopertha dominica (Bostrichidae), which is related to wood-boring insects. It is unlikely that white wheat in storage would be more prone to insect damage than red wheat. Key words: Bran, colour, wheat, phenolics, stored-product insects

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)0.001
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 score0.712
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.184
Teacher spread0.173 · 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
Published2000
Admission routes3
Has abstractyes

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