A pilot study on gonad enhancement in kelp-fed Newfoundland green sea urchin, Strongylocentrotus droebachiensis
Bibliographic record
Abstract
Sea urchin gonads, also known as “roe” or “uni”, are a highly prized delicacy in Asian and European seafood markets. Green sea urchin, Strongylocentrotus droebachiensis, produces one of the finest and most widely marketed roe in Asia, including top markets in Japan and Korea. Green sea urchin is abundant throughout eastern Newfoundland and holds a large potential for sea urchin roe enhancement and aquaculture, however no such industry has been developed despite initial research attempts in the late 1990s. In order to examine the use of locally abundant kelp as a feed option for sea urchin gonad enhancement, a 34-week experiment was carried out during which we maintained groups of green sea urchins from southeastern Newfoundland in flow-through tanks at ambient sea temperature and fed ad libitum with three locally abundant kelp diets: (1) kelp combo (Alaria esculenta and Laminaria digitata); (2) L. digitata; and (3) Agarum clathratum. Gonadosomatic index (GSI), gonad colour and gonad texture were assessed after 12 and 34 wk of feeding, and gonad taste after 34 wk. Feeding sea urchins a kelp combo or L. digitata resulted in the highest GSI and best quality gonads at 34 wk, however only L. digitata yielded market-quality roe at 12 wk. Although GSI was higher after 34 wk, gonad quality did not improve with the longer feeding duration and therefore results suggest that 12 wk or fewer may be enough to produce market-quality roe, therefore potentially lowering production costs. Collectively, results suggest that green sea urchins fed locally abundant and easily accessible kelp species produce large volumes of high-quality roe, however, determining the best diet to further improve roe colour and texture requires further research.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".