Rearing temperature’s effect on the growth performance, nutrient utilization and immune response of growth hormone transgenic female triploid Atlantic salmon (Salmo salar)
Bibliographic record
Abstract
This thesis examined the effect of rearing temperature on AquAdvantage Salmon (AAS; growth hormone transgenic female triploid Atlantic salmon) reared at 10.5°C, 13.5°C, 16.5°C from first feed to 1500 g. Fish reared at 16.5°C reached 1500 g in the shortest amount of time, however, thermal-unit growth coefficient (TGC) results showed that salmon reared at 10.5°C exhibited higher growth rates for most of the trial. Through analysis of whole-body and fillet samples at various growth stages, it was determined that rearing temperature significantly influenced composition, deposition rates and retention efficiencies of numerous nutrients. For example, AAS reared at 16.5°C diverted lipid storage away from muscle tissue into their viscera and were less efficient at retaining important nutrients, such as omega-3 fatty acids. By assessing the antiviral immune gene expression response of fish injected with polyriboinosinic polyribocytidylic acid (pIC), it was concluded that temperature significantly influenced immune responses of AAS. Based on transcript expression responses, as measured by real-time quantitative polymerase chain reaction (qPCR) analysis, it appeared that a more robust immune response was mounted by fish reared at 10.5°C compared to 16.5°C. Collectively, these results help establish foundational knowledge that can guide future research to optimize commercial rearing of AquAdvantage Salmon.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".