Seasonal variation and the effects of inbreeding on sperm quality in Lake trout (Salvelinus namaycush)
Bibliographic record
Abstract
Inbreeding, the mating between relatives, has been reported to lead to inbreeding depression, which can influence male sperm quality. This thesis examined the effects of inbreeding on sperm quality in a captive population of lake trout (Salvelinus namaycush). First, I investigated seasonal variation in sperm quality (velocity, motility, linearity, longevity and density) across the natural spawning season of the species in order to determine when peak sperm quality occurs. My findings suggest that sperm quality tends to peak throughout the middle of the spawning season. Using this data, I then examined the effects of inbreeding depression on sperm quality. I found no significant difference in sperm traits between inbred (full sibling offspring), moderately inbred (maternal and paternal half sibling offspring) and outbred (unrelated offspring) males. Together, these results have implications for the optimization of fertilization protocols in hatchery populations as well as provide insight into experimental inbreeding in lake trout populations.
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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".