The Implication of Metabolic Performance of Mytilus edulis, Mytilus trossulus, and Hybrids for Mussel Aquaculture in Eastern Canadian Waters
Bibliographic record
Abstract
Mussel aquaculture is a significant industry in Eastern Canada where the blue mussel, Mytilus edulis and the bay mussel, M. trossulus co-occur. Generally mussel farmers associate M. trossulus with significant loss of productivity because of low meat yields and fragile shell. Previous studies on homogenous M. edulis populations have demonstrated that individuals showing the greatest performance are characterized by a lower standard metabolism related to higher multi-locus heterozygosity (MLH) level based on specific allozyme markers. These mussels rely less on their energy reserves to maintain vital functions and had more energy available to support physiological responses to stress at high temperatures. Mussels with high MLH levels also had lower mortality and higher growth rate. In this study, the metabolism performance of each species and their hybrids were estimated along with their respective MLH. For each species (M. edulis and M. trossulus) and hybrids, we observed that individuals with lower standard metabolic rate having higher MLH. Furthermore, M. edulis was characterized by higher MLH, lower standard metabolism and higher growth (estimated in length and mass) compared to M. trossulus and hybrids. We provide the economic and ecological implications of these findings for mussel aquaculture in Eastern Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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".