Biological Potential of Extracts of Caatinga Plants in the Control of Alternaria alternata f. sp. citri in Citrus
Bibliographic record
Abstract
In Brazil the Caatinga biome is formed by endemic species with numerous applications in medicine, cosmetics and agrochemicals. However, only 8% of the country’s plant species are chemically evaluated annually. Thus, the work aimed to determine the free amino acid composition and phenolic substances of Caatinga plant species extracts, their antioxidant activity and the potential use of these compounds in the control of A. alternata in citrus. Leaf extracts from fourteen native plant species were evaluated for free amino acid contents; total and individual polyphenols; total flavonoids and antifungal susceptibility test. The relationship between the contents of the compounds detected in each plant extract with its antioxidant capacity and antifungal activity, has not yet been fully clarified. However, it is a fact that the extract of Cleome hassleriana constitutes a source rich in free amino acids. It is also verified that the extracts of Mimosa tenuiflora and Caesalpinia ferrea are efficient alternatives in the control of Alternaria alternata in citrus, because they present similar results for this purpose, and in the evaluation of their compositions in free amino acids, phenolic substances and antioxidant activity.
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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 | 0.001 | 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".