Health and productivity monitoring of cage-cultured Atlantic halibut (Hippoglossus hippoglossus)
Bibliographic record
Abstract
The Atlantic Canadian aquaculture industry is dominated by Atlantic salmon production. In recent years, infectious disease, parasitic infestations, and price fluctuations from international competition have caused disruptions to the industry. Diversification of the industry away from Atlantic salmon production is a potential strategy to insulate the industry from these fish health and market challenges. Atlantic halibut has long been a primary candidate for this diversification. However, the early commercialization of the species over the last 15 years has failed to reach its potential, owning primarily to a lack of information on the biology of the species, best management practices and proven economic feasibility.\nTo address this information gap, a multi-objective Randomized Controlled Trial (RCT) was conducted at a commercial farm on the Bay of Fundy in New Brunswick. The study collected detailed information on the growth and survival of 5000 Atlantic halibut individually identified with Passive Integrated Transponder (PIT) tags and followed over a four year grow-out period.\nThe main objectives of this research were: (1) to evaluate the impact of individual fish characteristics on growth, survival and farm economics, (2) to determine the effects of oil-adjuvanted vaccines on growth performance, survival and vaccine associated lesions, (3) to evaluate the suitability of FT4 Lock-on tags as an external tagging method for individual identification of Atlantic halibut, and (4) to test a Stratified Transport System (STS) as a means of improving fish welfare and the economics of overland halibut transport.\nA variety of fish level characteristics were found to be important predictors of productivity. Identifying and culling fish with these specific characteristics prior to grow-out was identified as a method to improve overall farm productivity. The side-effects of oil-adjuvanted vaccines were found to be mild in Atlantic halibut, thereby identifying oil-adjuvants as an available tool for future vaccine development. FT4 Lock-on tags were found to be suitable for identifying cage-cultured halibut with the exception of substantial impacts on growth. The STS was demonstrated to reduce post-transport mortality, establishing it as a cost-effective transport solution over currently practiced methods.\nIn conclusion, this research allows producers to make evidence-based management decisions, to strengthen and facilitate the continued development of the Atlantic halibut aquaculture sector in Atlantic 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 | 0.001 | 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".