Performance of Hybrid Chickens as Influenced by Phytogenic Extracted Meal-Supplemented Diet as Antibiotic Alternatives During Summer
Bibliographic record
Abstract
The performance of hybrid chickens fed plant–protein diets was compared to those fed diets supplemented with Ziziphus, Jatropha, white berry, black berry and pomegranate leaves extracted meal at level of (0.5 g/kg) or Vit. E. Two hundred and forty, 2 weeks-old unsexed Arbor acres chicks were used. A total number of 30 chicks were allocated for each treatment, divided into 3 replicates (10 birds/each) and housed in broiler cages. The chicks were fed the experimental grower diets from 2 to 6 weeks of age during summer season. All chicks were managed in similar fashion and had free access to feed and water throughout grower period. Measurements include were growth performance, carcass quality, digestibility and some plasma constituents.Results obtained showed that: growth performance criteria were positively (P ≤ 0.05) affected by dietary supplementation with Ziziphus, Jatropha, white berry, black berry and pomegranate leaves extracted meal in the diet during the whole growing period. Digestible coefficients of CP, EE, NFE and ash retention were increased significantly (p ≤ 0.05) by dietary additions. Broilers fed the herb leaves extract-supplemented diet had significantly higher HDL, SOD, urea, ALT and creatinine levels than positive or negative control. This indicates better liver function as also appears from the normal architecture with a normal size central vein (CV) and several homogenous masses of liver cords with normal hepatocytes (h) and few fatty cirrhotic areas (f). It can be concluded that phytogenic extracted meals have a beneficial effect on growth performance and liver histology especially in summer season.
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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".