281 Modeling How the Inclusion of Fibrous By-Products to the Feed Improves the Net Protein Contribution of Pork Meat
Bibliographic record
Abstract
Abstract Animal meat provides high-quality protein to the human food industry, but often uses feed ingredients that could also be used to feed humans. The objective of this study was to model how the inclusion of by-products in pig diets would improve the net protein contribution (NPC) of pig meat within an individual precision feeding (IPF) program. The InraPorc model was used to simulate the animal response to pigs fed two different feeding treatments. In both cases, there was feed A (rich-), and B (poor in all nutrients). Feeds were mixed daily to each pig to meet individual requirements. Treatment 1 (BY0) was free of by-products, consisting of traditional ingredients (corn, wheat, and soybean meal). Treatment 2 (BY20) included canola meal and oat hulls in addition to conventional ingredients. These inclusions accounted for nearly 10% of changes in feed A and nearly 20% in feed B. The consumed HeP in pig-fed was estimated from the beginning of the growing-finishing phase to slaughter. Total pig HeP included the carcass meat, fancy meats such as heart, liver, kidney, and tongue, and 25% blood. HeP conversion efficiency was calculated based on the HeP profiles for initial (23 kg) and final body weight (120 kg) in both treatments. Digestible indispensable amino acid score (DIAAS) was calculated based on a 3-year-old-child protein requirements, the same score being attributed to adolescents or adults. The HeP conversion efficiency was 0.28 and 0.32 for BY0 and BY20 respectively, and the protein quality ratio (PQR, calculated as DIAAS of the meat vs. DIAAS of the feed) was equal to 2 for both diets, indicating that protein quality in pig meat is greater than in animal feed. Finally, the NPC of both treatments, calculated by multiplying the HeP conversion efficiency with the PQR, was below 1. Therefore, neither treatment contributed positively to the net protein contribution of pork meat to the human protein supply. However, the NPC of BY0 and BY20 were 0.58 and 0.64, respectively. Thus suggesting that adding by-products, such as oat hulls, to feed formulas reduces feed-to-food competition.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".