Rhamnolipids: The Next Generation Multifunctional Biomolecules for Applications Against Μeloidogyne incognita in Tomato Plants
Bibliographic record
Abstract
Plant parasitic nematodes are a global threat to tomato production due to severe damages they cause to roots. The main aim of this study was to investigate the effect of rhamnolipids to control the nematode Meloidogyne incognitain tomato plants. It was applied as soil drench in soil naturally infested with the nematodes. The results showed that the number of small size galls was statistically less in the plants treated with fluopyram than untreated control or rhamnolipids. Plants treated with rhamnolipids had significantly less number of small size galls than untreated control. The number of medium size galls was significant less in plants treated with fluopyram than untreated control. Plants treated with rhamnolipids did not show any difference in the number of medium size galls than untreated control or fluopyram. No significant difference was found among all treatments in the number of big size galls although the plants treated with rhamnolipids or fluopyram had the tendency to show less number. Generally, this study demonstrated the potential of rhamnolipids (biological) to control M. incognita in tomato cultivars.
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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".