Study on flesh quality and physiological response of grass carp cultivated at higher density in‐pond raceway system
Bibliographic record
Abstract
Abstract In‐pond raceway systems (IPRS) are a high‐density ecological green pond aquaculture mode, which has developed rapidly in China in recent years. This study evaluated the flesh quality and physiological response of grass carp under the IPRS mode. Compared with the traditional earthen pond (EP) mode, the grass carp hepatosomatic index and viscerosomatic index under the IPRS mode are significantly ( p < 0.05) lower. And the water holding capacity of grass carp muscles were significantly ( p < 0.05) improved. Compared with EP mode, grass carp muscles under the IPRS mode have more crude protein content and less crude fat content, and have higher muscle fiber density and smaller muscle fiber diameter. In the IPRS mode, the total amount of essential amino acids (∑EAA) in grass carp muscle increased significantly ( p < 0.05), and the content of savory amino acids increased significantly ( p < 0.05). In addition, the content of eicosapentaenoic acid and docosahexaenoic acid in the muscle fatty acids of IPRS grass carp was also significantly ( p < 0.05) higher than EP mode. At the same time, in order to cope with the high‐density culture mode of IPRS, the activity of catalase and superoxide dismutase in grass carp muscle was significantly ( p < 0.05) increased, and the alanine aminotransferase in serum, aspartate aminotransferase, as well as other biochemical indexes, increased significantly ( p < 0.05). In the IPRS mode, the mass‐specific lamellae respiratory area of the gill increased significantly ( p < 0.05), and the volume of the interlaminar cell mass decreased significantly ( p < 0.05) to increase oxygen intake. Taken together, our results show that grass carp will produce relevant physiological response to cope with the IPRS high‐density culture environment, while their flesh yield, flesh quality, and nutritional value is improved.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".