Microsatellite allelic heterogeneity among hatchery rainbow trout maturing in different seasons
Bibliographic record
Abstract
Allele frequencies were determined at 14 microsatellite loci in 284 female and 50 male rainbow trout that were sampled throughout the spawning season from a commercial trout farm. Phenotypic selection has expanded the spawning season of the broodstock from 2 weeks to 8 months. Females maturing in different seasons showed significantly different allelic distributions (P<0·001) at all loci. The spawning time for the majority of females sampled could be predicted based on their genotypic information [chromosome segment sharing coefficient (CSSC) values]. CSSC analyses assigned 100, 56, 76 and 68% of summer, fall, winter, and spring spawning females, respectively to the season from which their gametes were actually collected. Alternatively, only 38 and 14% of summer and spring spawning XY males respectively, were assigned to the correct season. Loci linked to thermal tolerance and spawning time quantitative trait loci (QTL) showed significantly greater heterogeneity (higher average Ds values) in allele frequencies than those not known to be linked to QTL based on previous work. Thus, phenotypic selection for spawning time has led to concomitant changes in allele frequencies at markers of QTL. This suggests that the QTL detected in our previous work have detectable effects in fish from other genetic backgrounds.
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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 | 0.001 | 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".