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Record W2357381160

Growth, development and fecundity of oriental tobacco budworm, Helicoverpa assulta, reared on an artificial diet and a natural plant diet

2006· article· en· W2357381160 on OpenAlexaboutno aff
Zhang Yong

Bibliographic record

VenueKunchong zhishi · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyFecundityHatchingLarvaPupaRelative growth rateHelicoverpa armigeraBotanyAnimal scienceGrowth ratePopulation
DOInot available

Abstract

fetched live from OpenAlex

An artificial diet for mass rearing Helicoverpa assulta Guenee was formulated in the laboratory,and some main biological parameters of the larvae fed on the artificial diet and natural plant diet were compared.The artificial diet was mainly composed of wheat germ,soybean flour and yeast powder,and the natural diet were the mature leaves from tobacco plants.The result indicated that the H. assulta reared on artificial diet showed faster laval growth and development,higher pupal weight.longer adult longevity,higher fecundity and egg hatching than those on the natural food.The larvae fed on the artificial diet showed higher relative consumption rate(RCR) and approximate digestibility(AD) than those on tobacco fruit,but there were no significant differences in relative growth rate(RGR) between two diets.It indicated that the developed artificial diet is suitable for rearing H. assulta.

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 score0.003
Threshold uncertainty score0.005

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

Explore more

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