The influence of hybridization with domesticated conspecifics on alternative reproductive phenotypes in male Atlantic salmon in multiple temperature regimes
Bibliographic record
Abstract
Alternative reproductive phenotypes represent adaptive life-history responses to local environments. Hybridization with domesticated conspecifics exposed to selection against one of the phenotypes could affect the plasticity and incidence of alternative reproductive phenotypes within wild populations, potentially influencing individual fitness and population viability. We addressed this hypothesis by undertaking a common-garden experiment on Atlantic salmon (Salmo salar), a species in which males mature either as large, migratory anadromous individuals or as small, generally nonmigratory parr. Comparing one wild population and two domesticated–wild hybrids (F1, wild backcrosses), we evaluated the incidence of parr maturity at three different temperatures. Parr maturation probability exhibited a significant quadratic relationship with body mass. Early maturation was absent in the coldest temperature treatment. Body-size maturation thresholds were higher in the warmest temperature treatment relative to the intermediate temperature treatment, resulting in a similar incidence of maturation in both treatments despite increased growth in the warmest temperature treatment. Although body-size thresholds for parr maturity did not differ between crosses, F1 hybrids and backcrosses exhibited a lower incidence of maturity relative to wild fish (4.8%, 9.3%, and 30.1%, respectively). Changes in the incidence of alternative maturation phenotypes resulting from temperature and domesticated–wild hybridization could have negative fitness consequences for wild 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 | 0.001 |
| 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".