Methiin as a nematode attractant in <i>Allium sativum</i>
Bibliographic record
Abstract
Damage to garlic (Allium sativum L.) caused by nematodes (Ditylenchus destructor Thorne) is becoming a serious agricultural hazard, leading to a great loss in garlic production. Once the garlic bulbs are invaded, the pathogenic nematode drastically increases in number along with the rotting of bulbs. It was therefore conceived that nematode attractants are present in the bulbs. Based on this hypothesis, chemical investigations were performed to explore a nematode attractant in A. sativum bulbs, which resulted in the identification of methiin (S-methyl-l-cysteine S-oxide) as an attractant. Bioassay and quantification experiments of methiin in extracts of A. sativum bulb led to the conclusion that methiin possesses sufficient potential to attract D. destructor into A. sativum bulbs. Moreover, an activity comparing study of methiin with its analogs showed that the sulfoxide functionality is essential for attractant activity. Moreover, methiin was revealed to attract Caenorhabditis elegans. Further investigation of methiin will help to elucidate the neuronal system of D. destructor.
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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) | 0.001 | 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 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".