Control of Meloidogyne incognita Using Aqueous Extracts and Solanum stramonifolium Jacq. Dialisates
Bibliographic record
Abstract
Root-knot nematodes (Meloidogyne spp.) considerably affect their plant hosts, causing extensive damage in the world agriculture. The most widely used method to control these pathogens is through the intensive application of nematicides, despite being highly toxic to humans, animals, and the environment. The urgent search for alternative forms of control based on natural resources that are effective, provide a targeted strategy that is less toxic and less harmful to the environment. The species Solanum stramonifolium Jacq. (Solanaceae) have been described as resistant to root-knot nematode infection and other diseases, such as fungi and bacteria. Nematotoxic assays here presented demonstrated that aqueous crude seed extract from S. stramonifolium is very effective against second stage juveniles (J2) of M. incognita even at very low concentrations such 100µg mL-1 during in vitro bioassays. Furthermore, this extract also demonstrated a nematicidal effect after a heating process at 50 °C, killing more than 90% of M. incognita J2. No toxic activity was observed against non-target organisms, like bacteria, and the free-living nematode Caenorhabditis elegans at concentrations varying from 25 to 512 µg mL-1. Finally, greenhouse assays showed that external dialysate (ED) can be used to control nematodes in the soil, and that the plants treated with the dialysates display a reproduction factor lower than the synthetic nematicide used as positive control.
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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) | 0.001 | 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 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".