PSVI-1 Improvement of gut morphology and meat quality of broiler chickens by encapsulated citral and cinnamaldehyde
Bibliographic record
Abstract
Abstract This study investigated the effects of encapsulated citral (CIT) and cinnamaldehyde (CIN) on growth performance, intestinal morphology and meat quality in broilers. A total of 320 0-day-age male broilers (Cobb 500) were allocated 32 pens with 8 pens per treatment. The treatments included: 1) Corn-wheat-SBM basal diet (negative control); 2) basal diet with 30 ppm avilamycin premix (positive control); 3) basal diet with 50 ppm encapsulated CIT and CIN (CCL); 4) basal diet with 100 ppm encapsulated CIT and CIN (CCH). There were no significant differences between treatments in growth performance (P > 0.05) at each feeding stage. Additionally, birds had similar relative organ weights of heart, liver, spleen and bursa (P > 0.05). The higher ratios of villus height to crypt depth (VCR; P ≤ 0.05) were detected in broilers fed either CCL or CCH, with an average being 14.67 and 15.13 in the duodenum, and 15.13 and 13.58 in the jejunum, respectively. Regarding meat quality, a higher pH value (pH = 6.21) in the breast was observed in 24-h post mortem chickens fed CCL (P ≤ 0.05). No significant differences of pH were detected in the breast in 96-h post mortem birds. The breast color (redness, yellowness, and lightness) in either 24-h or 96-h post mortem chickens was not significantly different among treatments (P > 0.05). No change in purge loss (%) was observed in the breast after 48 h. The severity of white striping (WS) or woody meat (WB) was higher in the positive control (WS = 0.58; WB = 0.15) than in other treatments (P ≤ 0.05). In conclusion, dietary treatment with encapsulated CIT and CIN improved gut morphology and meat quality of broilers by increasing VCR in the small intestine and reducing the severity of WS/WB in the breast, respectively, without affecting growth performance.
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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".