Spontaneous autopolyploidy in the Acipenseriformes, with recommendations for management
Bibliographic record
Abstract
Abstract Sturgeon and paddlefishes (Acipenseriformes) are cultured worldwide for commercial and conservation purposes. Over the past decade, we have learned many sturgeon culture programs experience spontaneous autopolyploidy, or the generation of triploidy without management intervention. Spontaneous autopolyploidy has been shown to negatively impact the physiology, reproductive development and fertility of sturgeon. Given these concerns, it is necessary to understand how it arises, how it affects production, and how it can be managed. The goal of this review is to describe the incidence of spontaneous autopolyploidy in sturgeon relative to other fishes, explain how spontaneous autopolyploids are formed, and report what is known about how triploidy and intermediate ploidy effect sturgeon reproductive development and physiology. We then describe four common methods for detecting spontaneous autopolyploids and their intermediate ploidy progeny and end with recommendations for reducing the incidence of spontaneous autopolyploidy based on the results of recent research. Although spontaneous autopolyploidy may never be completely eliminated from sturgeon culture, following these recommendations may significantly decrease its incidence.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".