MétaCan
Menu
Back to cohort
Record W2993433077 · doi:10.5539/jas.v12n1p171

Efficacy of Biocontrol Agents Beauveria bassiana and Plant Extracts on Dactylopius opuntiae Cockerell (Hemiptera: Dactylopiidae)

2019· article· en· W2993433077 on OpenAlexvenueno aff
Rosineide S. Lopes, Venézio Felipe dos Santos, Elza Áurea Luna-Alves Lima, Elizabeth A. A. Maranhão, Antônio Félix da Costa

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsnot available
FundersBanco do Nordeste do BrasilConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsCladodesBeauveria bassianaBiologyBiological pest controlScale insectBassianaHorticultureCactusBotanyHypocrealesDolichosHemiptera

Abstract

fetched live from OpenAlex

Opuntia ficus-indica is a cactus used as fodder for animals in arid areas worldwide. However, the palm is parasitized by the carmine cochineal scale insect (Dactylopius opuntiae) causing great damage to cactus plantations in the semi-arid region of Brazil. Leaf extracts aqueous and hydro-ethanolic of neem and citronella at concentrations of 50, 100 and 200 mg/mL, and strains suspensions of Beauveria bassiana (1 × 108 conidia/mL); were applied on cladodes infested by D. opuntiae, in the laboratory. After 10 days of treatment, the percentages of mortality were obtained on the adult females. Then, the most efficient extracts were selected in the laboratory tests for control tests in palm plantation, where 100 mL of the extracts were applied in the 100 mg/mL concentration on cladodes of palms. The results show that B. bassiana strains were not pathogenic to D. opuntiae. Only the aqueous and hydro-ethanolic neem extracts were effective in controlling the cochineal. We conclude that neem extracts are effective against D. opuntiae and can be used to control carmine scale in Opuntia ficus-indica in the field.

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 score0.002
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 head0.019
GPT teacher head0.258
Teacher spread0.238 · 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

Citations9
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Agricultural ScienceSame topicBotanical Research and ApplicationsFrench-language works237,207