Proximal analysis and toxicity of extracts from young and mature leaves of the boldo tree (<i>Peumus boldus</i>) on elm leaf beetle (<i>Xanthogaleruca luteola</i>)
Bibliographic record
Abstract
A series of pests have been detected in plantations and urban trees, affecting directly the economy and recreational areas. The elm leaf beetle, Xanthogaleruca luteola Müller (Coleoptera: Chrysomelidae), is an insect pest that skeletonises the leaves of Ulmus spp., trees with a great ornamental value, which can become completely defoliated. The boldo tree (Peumus boldus Molina) is an evergreen plant endemic in Chile that contains secondary metabolites. Proximal analysis and insecticidal effects of extracts obtained from young and mature leaves with water and ethanol from P. boldus were evaluated at various concentrations on X. luteola under laboratory conditions in a completely randomized experiment considering two leaf maturity stages and solvents. Dry weight, water content, ash, and crude fiber leaf flour were significantly different between maturity stages, but the percentage of lipids and proteins were similar. Also, the 50% lethal concentration (LC50) was determined for each extract. The extracts obtained with both solvents were effective in controlling X. luteola adults in the laboratory, reaching over 50% average mortality at concentrations greater than 3.6% (w/v) in the young leaf extract and 4.0% (w/v) in the mature leaf extract. The lowest LC50 was 1.2% (w/v), obtained from the young leaf extract with ethanol after 48 h. This bioinsecticide from the leaves of P. boldus suggests an interesting opportunity for use in integrated pest management of X. luteola.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".