Investigating chemoreception and behavioural responses of Tetranychus urticae (Trombidiformes: Tetranychidae) to organic acids, aldehydes and essential oil components
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The two-spotted spider mite, Tetranychus urticae Koch, is a globally distributed polyphagous agricultural pest that is resistant to a variety of synthetic chemical pesticides. Plant essential oils have been recognized as a novel natural source of pest control that have a reduced impact to the environment and human health relative to synthetic pesticides, and which may provide a viable alternative for managing this pest. The present study focuses on assessing the potential of mite semiochemicals and essential oil constitutes as repellents and miticides. We developed an innovative electrophysiological approach (electrotarsography) to record olfactory sensitivity of T. urticae . Additionally, a novel two-choice behavioural assay was designed to determine whether T. urticae is attracted or repelled by selected compounds. Using Gas Chromatography-linked Electrotarsal detection (GC-ETD), we determined that T. urticae can sense many terpenoids commonly found in plant essential oils, such as eucalyptol, thymol, and linalool. In addition, T. urticae responded to carboxylic acids and aldehydes, which are known to be detected by ionotropic receptors. In two-choice behavioural assays, T. urticae was repelled by various essential oil active ingredients, as well as carboxylic acids and aldehydes. The study provides much needed insight to identify behaviourally relevant chemical cues for the development of mite control strategies.
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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 | 0.001 |
| 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 it