The effect of chilling on neural development at the antennal level in Pseudaletia unipuncta (Haworth) and subsequent odour detection
Bibliographic record
Abstract
Pseudaletia unipuncta, the true Armyworm, is an important crop pest and seasonal migrant to Canada, with several generations spanning each migration. Recent evidence has demonstrated that cold temperatures during specific developmental windows will significantly reduce response of male P. unipuncta to pheromones under wind tunnel conditions. It has been proposed that this may provide a functional mechanism to explain seasonal shifts in behavior, such as migration. The objective of this thesis was to investigate whether or not chilling might effect detection of pheromones at the antennal level, or influence neural development within the antennal lobe. Like most moths, P. unipuncta use pheromones to locate mates, and host volatiles to locate oviposition sources. Odours are processed within sexually-dimorphic antennal lobes. Electroantennograms were performed on both male and female P. unipuncta to determine if there was a difference in the olfactory response at the antennal level to male and female sex pheromones and selected host volatiles in moths which had been exposed to cool temperatures for 24 hours immediately after emergence. Male and female brains, chilled and unchilled, were stained and observed using confocal microscopy, then digitally reconstructed in order to compare any variation evident in antennal lobe development. There were no significant differences in detection of odours and pheromones between chilled or unchilled treatments. Volume comparisons of male and female glomeruli showed no major differences in the sizes of male glomeruli but glomeruli in chilled females were larger and fewer. Temperature plays an important role in the life history and behavior of the Armyworm but further investigation into the effects of chilling temperatures on neural development and subsequent odour detection are still required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".