Heritability of Life History and Morphological Traits in a Wild Pink Salmon Population Assessed by DNA Parentage Analysis
Bibliographic record
Abstract
Abstract Heritability estimates were calculated for body size and shape, day of entry onto the spawning grounds, and egg size for two brood years (1997 and 1998) of a wild population of pink salmon Oncorhynchus gorbuscha based on parentage analysis of DNA samples from breeding adults and their mature offspring in a small creek in Southeast Alaska. The majority of heritability estimates for size and shape were not significantly different from zero, probably as a result of the close association of these variables with fitness. The even‐ and odd‐year brood lines are genetically isolated but heritability estimates from the two lines were significantly correlated, suggesting similar selection histories. Consistent with heritability estimates from controlled breeding and captive rearing of pink and other species of salmon, day of entry onto the spawning grounds had the highest heritabilities of the traits examined in this study, especially for males (h2 = 0.6– 1.38). One plausible method for the maintenance of genetic variation in entry timing (a trait important to fitness) is variation in the optimal spawning and emigration date from year to year owing to changes in flow rate, predation pressure, ocean conditions, and food availability for progeny.
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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".