Effect of Garlic (Allium sativum) on Growth, Nutrient Utilization, Resistance and Survival of Tilapia zillii (Gervais 1852) Fingerlings
Bibliographic record
Abstract
A feeding trial was conducted for 75 days to determine the effects of garlic (Allium sativum) on nutrient utilization and growth in T. zillii fingerling. Five isonitrogenous and isocalorific diets (35% crude protein and 18.5MJ gross energy/kg diet) were formulated containing the control, D (0g garlic kg-1 basal diet), D1 (5g garlic kg-1 basal diet), D2 (10g garlic kg-1 basal diet), D3 (15g garlic kg-1 basal diet) and D4 (20g garlic kg-1 basal diet) and fed to triplicate group of Tilapia zillii at 4% body weight. Ten (10) Tilapia zillii (11.00+ 0.01g) fingerlings were stocked in each concrete tank with three replicate per treatment making a total of 150 fingerlings in all. T. zillii fed the diet having 20g inclusion level of garlic/kg basal diet (D 4) had better growth rate (32.12 ± 0.04) and feed efficiency (1.27±0.04)than the control diet and rest of the diets (D1, D2 and D3). Also, the survival rate of T. zillii was significantly higher in all the treatments (D1, D2, D3 and D4) compared to the control (D) and it increases with increase in the inclusion level of garlic in the basal diets (71.69-100.00) %. Apparent Protein Digestibility (APD) increases with increase in the inclusion level of garlic from 71.23% in the control diet to 85.16% in diet 4, (20 g garlic / kg control diet).
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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 | 0.001 | 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 | 0.000 | 0.001 |
| 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".