Differences in energy acquisition and storage of farm, wild, and hybrid Atlantic salmon competing in the wild
Bibliographic record
Abstract
An understanding of genetic differences in fitness-related traits for farm, wild, and hybrid Atlantic salmon ( Salmo salar) is key for predicting impacts of aquaculture escapes on wild populations. Here we used lipid and fatty acid (FA) analyses to investigate differences in storage and foraging ability among Atlantic salmon juveniles of three cross types (farm, wild, and F1 hybrids), at the beginning and end of a common garden experimental release in the Newfoundland wild. We found differences in lipid class and FA profiles among cross types at both release and recapture, with farm fish being the most differentiated at recapture. In addition, low recapture levels of triacylglycerols and certain FAs indicative of freshwater prey suggest the possibility of a feeding disadvantage for farm fish. Overall, we show that lipid and FA profiles in juvenile salmon can change over just a short period of time even under favourable conditions in the wild, and farm fish may have genetic differences affecting energy acquisition and storage that could negatively impact their survival and fitness in the longer term.
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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".