Development of production extruded feed for tilapia industrial production
Bibliographic record
Abstract
As a result of the analysis of domestic experience over the past 10 years and foreign experience (on the example of 9 countries: Vietnam, India, Spain, Canada, China, Norway, the USA, Chile, Japan, which possess the most advanced technologies and equipment for the production of highly effective feed for fish ) in the development of innovative technologies and equipment for the production of highly effective feed for fish, it was found out that the methods of both dry and wet pressing are outdated and do not meet modern requirements for the production of feed for fish, as they do not allow to carry out deep physicochemical transformations in the protein-carbohydrate complex and to introduce fat components at 40% level. Modern fish technologies are based on the use of extrusion processing of a multicomponent mixture to impart different buoyancy and adjustable immersion speed of the resulting feed. Extrusion technology will allow to introduce a large amount of fat into the product - up to 35–40%, to achieve 100% starch cleavage level. Extruded product has high water resistance, keeps its shape. New generation developed compound feed formulations for tilapia with 60% protein content, 40% fat, with the introduction of growth stimulants, dietary supplements, etc., will increase the digestibility of compound feed by fish by 10-12%, increase of fish weight by 10-12%, reduce the cost of commercial fish farming by 10–15%, reduce feed conversion by 15%. The proposed technology will allow to create new generation compound feeds formulations for various fish species with a high content of protein-fat complex, which will increase the weight gain of fish by 12-17%, reduce the cost of final fish production by reducing the cost of feed by 10-15%. .
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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 | 0.000 | 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) | 0.000 | 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".