Unravelling first‐generation pedigrees in wild endangered salmon populations using molecular genetic markers
Bibliographic record
Abstract
There is increasing interest in the use of molecular genetic data to infer genealogical relationships among individuals in the absence of parental information. Such analyses can provide insight into mating systems and estimations of heritability in the wild. In addition, accurate pedigree reconstruction among the founders of endangered populations being reared in captivity would be invaluable. Many breeding programs for endangered species attempt to minimize loss of genetic variation and inbreeding through strategies designed to minimize global co-ancestry, but they assume a lack of relatedness among the founders. Yet populations that are the target of such programs are generally in serious demographic decline, and many of the available founders may be closely related. Here we demonstrate determination of full and half-sib relationships among the wild founders of a captive breeding program involving two endangered Atlantic salmon populations using two different approaches and associated software, pedigree and colony. A large portion of the juveniles collected in these two rivers appear to be derived from surprisingly few females mating with a large number of males, probably small precocious parr. Another group of potential founders, obtained from a local hatchery, clearly originated from a small number of full-sib crosses. These results allowed us to prioritize individuals on the basis of conservation value, and are expected to help minimize loss of genetic variation through time. In addition, insight is provided into the number of contributing parents and the mating systems that produced this last generation of endangered wild Atlantic salmon.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".