Microsatellite Dna Variation In Reared Strains Of Turbot (Scophthalmus Maximus) And Atlantic Halibut (Hippoglossus Hippoglossus) Compared With Wild Samples
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.Separate sets of six polymorphic microsatellite DNA loci were chosen to screen three samples of wild caught fish and reared strains of turbot (Scophthalmus maximus) and three samples of wild caught broodstock of Atlantic halibut (Hippoglossus hippoglossus) and their progeny. For both species, the reared samples were F1 progeny of wild caught broodstock. Pairwise comparison using Fisher’s exact test and the FST estimator showed significant differences between reared samples of turbot and its geographical nearest wild sample, while for halibut, significant difference was found between all broodstock-strain pairs. Significant reduction in genetic variability in the reared strains of turbot compared with the geographical nearest wild sample, in terms of number of alleles and heterozygosity, was found in the strains from French and Isle of Man hatcheries, while no such reduction was found in the strain from Norwegian hatchery. For halibut, reduction was found in the strains from Canadian and Icelandic hatcheries, while, as for turbot, not in the Norwegian strain. It is argued that low effective number of breeders (Ne) in the French and the Isle of Man turbot hatcheries and the Canadian and the Icelandic halibut hatcheries may have caused reduced genetic variability in these strains.
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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 | 0.001 | 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".