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Record W2514026157 · doi:10.1303/jjaez.2013.27

Investigation of High Humidity Requirement for Infection of Bemisia tabaci (Hemiptera: Aleyrodidae) by Two Entomopathogenic Fungi, Beauveria bassiana and Lecanicillium muscarium

2013· article· en· W2514026157 on OpenAlexaff
Hirokazu Tooyama, Shigeyuki Mukawa, Shinichi Numata, Hitoshi Kawamata

Bibliographic record

VenueJapanese Journal of Applied Entomology and Zoology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEntomopathogenic Microorganisms in Pest Control
Canadian institutionsPlant Biotechnology Institute
Fundersnot available
KeywordsBeauveria bassianaBiologyBassianaWhiteflyNymphHumidityHorticultureInoculationHemipteraVeterinary medicineBiological pest controlBotany

Abstract

fetched live from OpenAlex

The suitable humidity condition for infecting whitefly, Bemisia tabaci (Gennadius), with two commercial mycoinsectisides, BotaniGard ES (Beauveria bassiana formulation) and Mycotal (Lecanisillium muscarium formulation) was investigated. The second instar nymph of B. tabaci on a leaf disc was inoculated with 1/500 or 1/1,000 dilutions of BotaniGard ES or Mycotal, respectively, by a dipping method. Based on infection rates of the inoculated whiteflies, which were exposed to >99% RH for various periods and then transferred to 50% RH, the requisite high humidity period for 90% infection was estimated to be 47 and 82 h in BotaniGard ES and Mycotal, respectively. In a tomato greenhouse in autumn 2009 and 2010 in Ibaraki, humidity under tomato leaves was higher than the ambient humidity, whereas the period at >99% RH was about 14 h per day. When the inoculated whiteflies were reared under a fluctuating humidity cycle of 14-hour exposure to >99% RH and 10-hour exposure to 50% RH, the infection rate of these whiteflies increased significantly in comparison with that of the whiteflies reared at 50% RH following 14-hour exposure to >99% RH. This result reveals that the intermittent high humidity cycle enhances the fungal infection of B. tabaci.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.009
GPT teacher head0.205
Teacher spread0.195 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJapanese Journal of Applied Entomology and ZoologySame topicEntomopathogenic Microorganisms in Pest ControlFrench-language works237,207