Omega‐3 long‐chain polyunsaturated fatty acids in Atlantic salmon: Functions, requirements, sources, de novo biosynthesis and selective breeding strategies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The aquaculture industry is a substantial user of wild‐sourced fish oil to supply omega‐3 (n‐3) long‐chain polyunsaturated fatty acids (LC‐PUFAs) in fish diets, which are required by many economically important farmed fish species, particularly Atlantic salmon ( Salmo salar L.). Fish oil is commonly replaced with plant‐based oils as more environmentally and economically sustainable substitutes due to concerns regarding over‐fishing of wild stocks and increasing demand. One potential strategy to meet the physiological requirement for n‐3 LC‐PUFA is to improve n‐3 LC‐PUFA biosynthesis in salmon through selective breeding and strain enhancement. The objective of this review is to discuss strategies to supply sufficient levels of n‐3 LC‐PUFA to Atlantic salmon through the diet and de novo biosynthesis through selective breeding and salmon strain enhancement. This review provides an overview on the functions of n‐3 LC‐PUFA in Atlantic salmon, dietary requirements, source and supply of n‐3 LC‐PUFA in aquaculture feeds, and biosynthesis of n‐3 LC‐PUFA in fish. Several relevant studies have revealed the genetic influences on n‐3 LC‐PUFA biosynthesis and storage in Atlantic salmon. The results of the present review show that selective breeding of high n‐3 PUFA‐producing Atlantic salmon could be an effective strategy to improve the amount of EPA and DHA stored in tissues and reduce reliance on dietary sources of n‐3 LC‐PUFA such as fish oil.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 it