Evaluation on the effect of local and imported yeast as supplementary feed on African catfish (<i>Clarias gariepinus</i> Burchell, 1822) in Egypt
Bibliographic record
Abstract
This study aims to evaluate the effect of different graded levels of local and imported yeast ( Saccharomyces cerevisiae ) on growth performance of African catfish, Clarias gariepinus . A total of 250 fingerlings of the African catfish Clarias gariepnus were collected from Edku Lake for the experiment. The fish were divided into 5 groups, containing of 50 fish in each group. Describe the group and treatment given to each group of the fish. The results showed that the supplementation of local yeast, improved the growth and feed utilization. Significant results were recorded for treatment of G2 compared to the G1. It was shown that the yeast supplementation significantly affected the whole-fish body composition. All treatments exhibited higher values compared to the G1. Treatment of G2 also showed the lowest values for dray matter, ether extract and ash content, while it showed highest value for crude protein compared to the G1. Hematological analysis of all the treatments showed satisfactory values compared to the G1. From the economic point of view, the utilization of local baker's yeast for African catfish could reduce the cost, while increases the growth and production performance under farming conditions.
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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 | 0.000 | 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".