The Effect of Feeding Varying Levels of Soybean Meal in High-Nutrient-Density Diets on Growth Performance and Body Composition of Juvenile Atlantic Salmon
Bibliographic record
Abstract
Abstract Six experimental, high-nutrient-density (HND) diets containing practical ingredients (55% protein, 20% lipid) were fed to juvenile (initial weight [mean ± SE] = 27.6 ± 1.0 g) Atlantic salmon Salmo salar reared in freshwater for 12 weeks. The control diet was the open-formula Atlantic salmon diet MNR-98HS, which contained 0% soybean meal (SBM) and 30% fish meal (FM). Four experimental diets had 30% FM and soybean levels from 5% to 30%. Two additional diets contained a reduced level of FM (24%) and either 20% or 30% SBM. Weight gain (specific growth rate [SGR]), feed conversion ratio (FCR), protein efficiency ratio (PER), condition factor, trypsin activity, body composition, and hepatosomatic index were determined. No differences in SGR (1.88–1.94), FCR (0.78–0.82), PER (2.20–2.32), or trypsin activity were observed between treatments and the control diet. A negative linear response was observed between SBM content and either body lipid or fecal dry matter. Fish whole-body lipids decreased linearly from 22.0% to 12.9% between control and 30% SBM dietary groups. Results suggest that the use of HND diets may contribute to protein-sparing functions of Atlantic salmon by SBM carbohydrates; however, SBM inclusion may induce changes along metabolic pathways into muscle tissue.
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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) | 0.001 | 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".