Comparison of growth performance, carcass yield and composition, and fatty acid profiles of Pekin and Muscovy ducklings fed diets based on food wastes
Bibliographic record
Abstract
Pekin and Muscovy male ducklings were raised on diets based on food wastes. Three feeding systems were offered: commercial pellets (control), partial food waste (PFW) and 100% food waste (FW). For the starting, growing and finishing periods, respectively, the control system provided 25, 23 and 21% crude protein (CP) on a dry matter (DM) basis. The two experimental systems each had a dry pelleted diet and a wet mash diet offered free choice. The PFW system had two rations for the dry diet containing 23 and 22% CP for the starting and growing–finishing periods, respectively, whereas the wet diet had a single ration with 17% CP on a DM basis. The FW also had two forms of diets: dry pellets (18% CP) and wet mash (20% CP). The PFW ducks had higher (P < 0.05) body weights than those of the control system. Both breeds consumed less feed of PFW and FW than those on the control. Feed efficiency was significantly improved for PFW and FW relative to control for both breeds. The birds fed food waste diets consumed higher proportions of fat and less protein. Pekins had higher (P < 0.05) content of skin and fat, whereas the Muscovies had a higher (P < 0.05) content of meat and bone. Both breeds had a preference for wet over dry diets as a percentage of the total feed consumption. Fatty acid profiles of the subcutaneous fat showed significant breed but no feeding system differences. These results suggest industrial food wastes have potential nutritional value as alternative feedstuffs. Key words: Food waste, duck, performance, carcass, fatty acid
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".