Response in carcass yield, organ weights, and gut morphology of broiler chickens to incremental levels of <i>Vachellia tortilis</i> leaf meal
Bibliographic record
Abstract
The objective of this study was to assess the carcass yield, organ weights, and gut morphology response to Vachellia tortilis inclusion in broilers. Unsexed 14-d-old Cobb500™ chicks were randomly assigned to six diets containing 0, 30, 60, 90, 120, and 150 g kg−1 dry matter of V. tortilis leaf meal. The slaughter weight (SW), dressed carcass weight (DCW), breast weight, thigh weight (TW), drumstick weight (DW), and internal organs were measured. Villus height (VH), crypt depth (CD), epithelial, submucosa, and muscularis thickness were taken. The apparent villus surface area (AVSA) and villus to crypt ratio were calculated. There was a linear decrease in SW and DCW (P < 0.05) with the increase of V. tortilis leaf meal. The SW and DCW decreased by 0.77 and 5.25 g for each g kg−1 increase in V. tortilis, respectively. The TW and DW showed no relationship with levels of V. tortilis leaf meal. The relative weight of gizzard, intestine, stomach, heart, and kidney increased linearly (P < 0.05) as levels of V. tortilis increased. The relative weight of the liver was not related to V. tortilis inclusion. The VH, AVSA, VH to CD ratio, as well as submucosa, muscularis, and epithelial thicknesses linearly increased as the V. tortilis inclusion level increased. There was no relationship between V. tortilis leaf meal inclusion and CD (P > 0.05). The increased morphological measurements suggest that leaf meal inclusion alters gut physiology and could influence the digestion and absorption of nutrients in broilers.
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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".