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Record W1790381298 · doi:10.5376/jmr.2014.04.0015

Larval control of <i>Culex vishnui</i> group through bio-active fraction of traveller's tree, <i>Ravenala madagascariensis Sonn</i>. (Strelitziaceae)

2014· article· en· W1790381298 on OpenAlexvenueno aff
Kuntal Bhattacharya, Ipsha Chandra, Priyanka Kundu, Sayoni Ray, Debashis Halder, Goutam Chandra

Bibliographic record

VenueJournal of Mosquito Research · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsLarvaTree (set theory)BiologyBotanyMathematicsCombinatorics

Abstract

fetched live from OpenAlex

Background and objectives: Due to ever increasing resistance against synthetic insecticides, mosquito control is fetching a serious problem all over the world. It is imperative to manage the vector population to conquer the mosquito born diseases. The present study was carried out to assess the target specific larvicidal activity of Ravenala madagascariensis against Culex vishnui group, the vector of Japanese Encephalitis. Methods: Crude extracts of R. madagascariensis matureleaves (foliages) ranging from 0.1% to 1.0% concentrations were tested against all the larval instars of Cx. vishnui group. Solvent extractions of matureleaves were carried out through three different solvents viz. petroleum ether, ethyl acetate and acetone from non-polar to polar trend. Larvicidal activities of the active fractions were examined against all the larval instars with graded concentrations ranging from 50 ppm to 250 ppm. LC 50 and LC 90 values were determined by log-probit analyses. Further statistical justifications were done through ANOVA analyses. Effectiveness of the bioactive fractions against non-target populations was executed in laboratory conditions. Phytochemical screening of leaf extract was also carried out. Result and Discussion: At 72 hours post-exposure, highest mortality (100%) with crude extract was found at 0.5% concentrations against all the instars. Amongst the three bioactive fractions, ethyl acetate extractives showed the highest larval mortality. After 72 hours of exposure, 200 ppm and 250 ppm concentration showed 100% mortality against 1 st and 2 nd instars larvae respectively. A 96.00% reduction in 3 rd instars mosquito population was recorded after 72 hours at 250 ppm concentration. However, 4 th instars larvae were subjected to only 84.00% reduction with these experimental set up and at 250 ppm concentration. The results of log probit analyses (95% confidence level) showed that LC 50 and LC 90 values were gradually decreased with the exposure periods having the lowest value at 72 h of exposure to 1 st instars larvae followed by 2 nd , 3 rd and 4 th instars larvae. Mortality rate (Y) was found to be positively correlated with the concentration (X) having a regression coefficient (R 2 ) close to 1 in each case. Phytochemical analyses revealed the qualitative presence of tannin, steroid and alkaloid free glycoside bound anthraquinones. Non target organisms were non-responsive to the bioactive fractions obtained from the plant throughout the experiment. Conclusion: From the above experiment it can be concluded that the mature leaves (foliages) of R. madagascariensis may be a superior larvicide alternative to the synthetic one.

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 score0.001
Threshold uncertainty score0.004

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 head0.029
GPT teacher head0.278
Teacher spread0.248 · 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
Published2014
Admission routes1
Has abstractyes

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