Genetic and phenotypic evaluation of harvest traits from a comprehensive commercial Atlantic salmon, Salmo salar L., broodstock program
Bibliographic record
Abstract
Twenty-two harvest carcass quantity and fillet quality traits, including nine calculated traits, were evaluated on 1496 North American origin farmed Atlantic salmon (mean weight ~5.5 kg) belonging to 81 families. Narrow-sense heritabilities along with a description of the variability of the traits, effects of sex and maturity status, and genetic and phenotypic correlations between the traits are presented and discussed. In addition, these traits are comprehensively compared to published results, when available, on Atlantic salmon and other fish species. All recorded carcass quantity traits were heritable (h2 = 0.30–0.48), indicating additive genetic control that can be exploited towards improvement, and their genetic and phenotypic correlations with one another are discussed. Quality traits related to melanin discoloration, gaping and marbling were less heritable (h2 = 0.04–0.15), but were at a reduced level overall in the group of salmon sampled. These secondary traits are considered useful as tracking traits to ensure their frequency does not increase over time due to genetic practices or to environmental factors that affect fish production. Fillet color was discussed from both visual and instrumental evaluation (h2 ≥ 0.42), including the negative and/or positive genetic and phenotypic correlations of varying degrees, making this trait difficult to incorporate into a selection index. Fillet color (all phenotypic measures) also lacked genetic and phenotypic correlations to fillet weight and other weight associated traits indicating that improvement in growth does not result in any changes in color. Calculated traits are presented related to yield, as these are often the most commonly discussed with commercial fish producers, resulting in moderate heritabilities (h2 = 0.14–0.27). Finally, implications of these harvest evaluation results to manage a commercial Atlantic salmon broodstock program are also discussed in detail.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".