Performance and hematological profile of broiler chickens administered by ethanol extract of African leaves ( <i>Vernonia amygdalina</i> )
Bibliographic record
Abstract
This research aims to determine the effect of using african leaf herbal feed ingredients (Vernonia amygdalina) as a feed additive on the performance and hematology profile of broiler chickens. A total of 100 DOC (MB90) broilers were randomly assigned to 20 cage units consisting of 4 treatments and 5 replications. In each treatment, African leaf extract was given in drinking water at different doses (A0 = control; A1 = 250 mg/L; A2 = 500 mg/L; and A3 = 750 mg/L). The feed used in this research is commercial feed for the DOC period up to the harvest period. Body weight and feed consumption are calculated weekly during the study (4 weeks). All data are recorded to determine the performance of broiler chickens, while sample blood collection for hematology tests is performed at the end study. Data were analysed by one-way ANOVA. Differences between treatments were stated if P<0.05. The results showed that giving African leaf extract as a feed additive had no effect (P>0.05) on the performance and hematology profile of broiler chickens. From this research, it was concluded that African leaf extract did not have a negative effect on the performance and profile of broiler chicken hematology.
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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".