Larvicidal Activity of Native Plant Extracts From the Araripe National Forest on Aedes aegypti
Bibliographic record
Abstract
Aiming to verify the insecticidal potential of 16 native plants from the Araripe National Forest (ANFO) on L3 Aedes aegypti larvae in laboratory conditions, were researches performed in controlled conditions of temperature, air relative humidity and photophase, in a type B.O.D. climatized chamber, executed in period from August/2016 to May/2017. The adopted experimental design was completely randomized, represented by ethanolic extracts obtained from 16 native plants, besides the witness without application and with pyriproxyfen as chemical insecticide, conducted with four replicates in each plant extract. The application of the extracts was performed only once, and at 24, 48 and 72 hours, after the infestation, was determined the effects of the extracts on larval mortality. The extracts of Amargoso, oil’tree, Lacre, Cajui, Louro smelling, Field Rosemary, Murici truthful, Janaguba and laranjinha provoke mortality above of 90% to the larvae of Aedes aegypti after three days of exposure, in the dose of 50 mL of the extracts. After 24 hours of exposure, the ethanolic extracts from barks and leaves of Field Rosemary and of laranjinha killed all the larvae. On the other hand, the extracts with higher larvicide potential were evaluated at different doses (i.e., 12.5, 25, and 50 mL/L) in a 9 × 3 factorial scheme, with four replicates. The ethanolic extract of the leaves of Louro smelling is the most efficient, because in any dosage it eliminates all the larvae of Aedes aegypti, thus demonstrating to be an excellent vegetable larvicide in the control of this vector after three days of exposure, whereas the bark extract of the oil’tree is the least effective. The alkaloids and flavonoids are present in the leaves of the Louro smelling.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".