Growth and Haematological Response of Clarias gariepinus to Garlic (Allium sativum) Supplemented Diet
Bibliographic record
Abstract
This study investigated the growth and haematological response of Clarias gariepinus to different concentration of garlic supplemented diet for a period of 12 weeks. This study was carried out in 2011 in the premises of Fisheries Department, Delta State University, Asaba, Nigeria. The experimental diet was formulated to contain 0% (control), 0.5%, 1% and 3% garlic. Fish were sorted into four groups based on the diet and were fed 3% live body weight. Diets which contain garlic did not show a significant effect (P = 0.06) on the weight of C. gariepinus. However, fish fed diets containing garlic had a higher (P <0.001) total length compared to the control. Nevertheless, fingerlings fed 0.5% concentration of garlic in diet exhibited greater growth in terms of weight and length compared to fingerlings in all other treatment groups and the control. At the end of the experiment, the total red blood cell count (RBC), white blood cell count (WBC), haemoglobin (Hb) and packed cell volume (PCV) of fish in the garlic supplemented groups were greater (P <0.05) compared to the values prior to the commencement of the experiment and to the control. However, catfish fed 0.5% garlic diet were observed to have a higher value of RBC, PCV and Hb than the other concentrations. Increment in plasma protein was noted in catfish fed garlic supplemented diet than the control. This study demonstrates that garlic supplemented feed stimulates increment in both total length and haematological indices of fish. Supplementation of fish feed with garlic is therefore of high benefit in aquaculture as it boosts the ability of C. gariepinus to resist diseases.
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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".