Influence of temperature on female reproductive traits of the armyworm (Lepidoptera: Noctuidae)
Bibliographic record
Abstract
The armyworm, Mythimna unipuncta (Haworth), is a seasonal migrant that travels every spring from the United States towards northern breeding areas, such as Quebec (Canada), to avoid hot summer temperatures. Because of climate change, it could arrive earlier in the province, and the temperatures encountered upon arrival could increasingly vary, possibly influencing the female's reproductive traits. To explore the influence of temperatures on the reproduction and fecundity of M. unipuncta, we investigated the correlation between the number of eggs in egg clusters and their mass (g). Next, sexually mature couples were formed and subjected to constant temperatures of 10, 17, or 25 °C in growth chambers. We evaluated the lifetime fecundity, daily fecundity, delay between couple formation and egg laying, oviposition period (number of days between the first and last days of oviposition), number of oviposition days inside the oviposition period, mating percentage, and lifetime mating frequency. Our results showed that high temperature (25 °C) reduced egg size. Although temperature did not influence the lifetime fecundity of M. unipuncta, high temperature negatively influenced the couples' mating percentage and frequency. The 25 °C treatment also shortened the females' oviposition period. Together, our findings suggest that high temperatures would be more detrimental to the reproductive parameters of M. unipuncta than cooler temperatures. Results are discussed in a context of climate change.
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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".