Impact of macroinvertebrate diet on growth and fatty acid profiles of restocked 0+ Atlantic salmon (Salmo salar) parr from a large European river (the Allier)
Bibliographic record
Abstract
The influence of macroinvertebrate diet on growth and fatty acid profiles of Atlantic salmon ( Salmo salar ) parr released at the fry stage in three different riffles was studied in a large temperate river (Allier, France). Comparisons were made between sites and between restocked parr and hatchery-reared counterparts fed with a traditional fish diet. Significant differences were observed along the longitudinal gradient of the river and between restocked and hatchery-reared parr. Growth performance and nutritional status were higher in the hatchery and in downstream riffles and low in the most upstream site. These differences appeared to be related to different types of diet and consequently to variations in polar and neutral lipid intakes. The most favorable site for optimum growth appeared to be the intermediary riffle, with values close to those achieved in the hatchery. Simuliids and baetids, preferentially consumed in downstream sites, constitute an interesting type of food, showing quite different fatty acid composition from vegetable oils. This could be of interest for composing a new diet formula for young salmon intended for river restocking, imitating these macroinvertebrate fatty acid profiles.
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 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 | 0.000 | 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) | 0.001 | 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".