Utilization of grape (<i>Vitis vinifera</i>), cranberry (<i>Vaccinium macrocarpon</i>), wild blueberry (<i>Vaccinium angustifolium</i>), and apple (<i>Malus pumila/domestica</i>) pomaces in broiler chickens when fed without or with multi-enzyme supplement
Bibliographic record
Abstract
Nutritive and functional values of fruit pomaces in poultry are unexplored. We determined apparent metabolizable energy (AME) and plasma metabolites in broiler chickens fed diets containing apple (APL), low-bush wild blueberry (LBP), cranberry (CRP), and grape (GRP) pomaces without or with multi-enzyme supplement (ENZ). A total of 360 one-day old Ross 708 male chicks were placed in 72 cages; 5 birds/cage were reared to day 13 and transitioned to either cornstarch–soy protein isolate basal diet or basal with 30% of either pomace without or with ENZ. Excreta samples were collected from day 17 to 20 and one bird/cage bled for plasma metabolites on day 21. Apple pomace showed a higher AME ( P = 0.008) than other pomaces; however, ENZ had no effect on AME. The AMEs were 3 250, 2 613, 2 394, and 3 008 kcal/kg DM for APL, LBP, CRP, and GRP, respectively. There was pomace and ENZ interaction on plasma alkaline phosphatase ( P = 0.04), and APL increased cholesterol levels ( P < 0.01). In conclusion, ENZ had no impact on energy increment in pomaces, but the AME values this study has established are nonetheless valuable for accurate poultry feed formulation. Plasma metabolites suggested pomace components are amenable to supplemental ENZ.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".