Do host plant volatiles influence the diel periodicity of caterpillar foraging of all species attacking the same host plant
Bibliographic record
Abstract
Shiojiri et al. reported that host plant (corn) volatiles rather than photoperiod influenced the diel periodicity of larvae foraging behavior in Mythimna separata. We undertook experiments to determine if the same trends were observed in two other noctuid species, M. unipuncta and Spodoptera litura, that also use corn as a host. In the case of Mythimna separata we again observed a significant direct effect of host plant volatiles and not light conditions. However, the inverse was true for the other two species, although the host plant effect approached significance for M. unipuncta. In all three species there was a significant Light X Plant interaction. The observed differences could reflect interspecific differences in life history traits such as diet breadth and voltinism. However, all species tested had been in rearing on an artificial diet for a number of generations and inadvertent selection may have influenced the behavior under consideration. To eliminate this possibility, additional experiments need to be conducted, using newly established colonies.
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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".