Thermal acclimation of fast-growing Japanese Quails (<i>Coturnix japonica</i>) exhibit decreased oxidative stress and increased muscle fiber diameters after acute heat challenges
Bibliographic record
Abstract
Many predict dire consequences of increasing temperatures; however, high temperatures in early life may aid animals during extreme thermal events later in life. The underlying physiological mechanisms have not been elucidated. We examined whether developing in warmer temperatures would physiologically benefit adult Japanese Quails (Coturnix japonica Temminck and Schlegel, 1849) by exploring changes in oxidative stress and muscle structure in two quail lines — one selected for control growth and another for fast growth and after acute heat challenges. We used a factorial design to administer four treatment combinations to each line: an initial period of either heat-stress acclimation (3 h every other day to 37 °C) or no acclimation, and after 5 weeks, either an acute heat-stress challenge (8 h at 39 °C) or no challenge. We found that control quails had significantly higher citrate synthase activity than fast-growing quails. Fast-growing quails had higher hydroxyl scavenging capacity than control quails. Peroxyl scavenging capacity decreased in both lines after an acute heat challenge, regardless of acclimation. Finally, fast-growing quails had larger muscle fiber diameters than control quails, and acclimated birds that experienced an acute heat challenge had larger muscle fibers than those that did not experience a heat challenge. Thus, fast-growing quails may physiologically benefit from developing in warmer temperatures.
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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".