Advances in the proof of concept of feed restriction as a strategy to improve Arctic charr cultivation: insights on the role of dietary nucleotides and digestive plasticity in supporting growth
Bibliographic record
Abstract
The natural predispositions of Arctic charr ( Salvelinus alpinus (Linnaeus, 1758)), a species associated to the Holarctic realm, to sustain and recover from extended periods of feed restriction and growth depression during the winter were cautiously explored in an aquaculture context. The degree to which a growth recovery is achieved upon refeeding is governed by the timing and the intensity of the restriction and the coping mechanisms occurring under the rearing conditions provided. Advantages for aquaculture are reduced labor, feed, and phosphorus load. We investigated the effect of (1) a pilot-scale cyclical restriction-refeeding sequence over three size classes (Pre-experiment) and (2) the inclusion of dietary nucleotides during recovery on growth and feeding metrics, and sustainable profitability value (Experiment). Despite a feed reduction of ∼30%, no clear effects on growth were observed, translating in savings of 1.84 CAD per kg of produced fish. Incorporation of dietary nucleotides during the recovery phase resulted in improved growth and feed conversion efficiency and created an upward shift of digestive organs allometries. Nucleotides exclusion after 60 days subsided all the above. Overall, feed restriction induced net positive outcomes that increased the sustainable profitability value of the feeding strategy. We suggest that severe restriction leading to low adiposity and nucleotide supplementation are required for the full expression of compensatory growth in Arctic charr.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".