Assessment of Growth and Survival Rates of African Catfish (<i>Clarias gariepinus</i> BURCHELL 1822) Fry Fed On Soybean Milk-Based Diets
Bibliographic record
Abstract
African catfish ( Clarias gariepinus ) has higher potential yield than tilapia species farmed in Malawi. However, production is hindered by shortage of fingerlings due to mass mortality at fry stage attributed to poor feeding. A 42-day feeding trial was conducted at Bunda fish farm (14°10'25.6S 33°48'21.6E) of the Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi to assess growth and survival rates of African catfish fry fed on soymilk based diets. In this experiment, four thousand five hundred fry (average weight; 0.0288 g ±0.0068) were fed on two soymilk based diets and an egg yolk based control diet, each replicated thrice. Significantly higher percent weight gain and specific growth rate was observed in fry fed on egg yolk based diets and diets based on soymilk from roasted soybeans compared to fry fed on diets based on soymilk prepared from raw beans. No significant differences were observed between catfish fry fed on egg yolk based diets and catfish fry fed on diets based on soymilk from roasted soybeans. Survival percentage was highest (42.46±5.93558) in fry fed on a diet based on soymilk from roasted soybeans. This was found to be significantly higher (P=0.05) than survival percentage of fry fed on egg yolk based diet (18.33±3.0118). No significant differences in survival rate (%) were recorded in fry fed on diets based on soymilk from roasted soybeans and soymilk from raw soybeans (36.93±5.42873). The results demonstrate that diets based on soymilk from roasted soybeans can be used to improve survival of African catfish fry and improve fingerling production, the biggest bottleneck in African catfish production in Malawi.
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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 | 0.001 |
| 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".