PSIV-1 Apparent and Standardized Ileal Digestibility of Amino Acids in Dry Extruded-Expelled Soybean Meal Fed to Growing Pigs Without or With Organic Acids and Multi-Carbohydrase
Bibliographic record
Abstract
Abstract Dry extruded-expelled soybean meal (DESBM) is an attractive feed ingredient for swine not only as a protein source but also as a good source of energy because of its high fat content. Apparent (AID) and standardized (SID) ileal amino acid (AA) digestibility in DESBM fed without or with organic acid (OA) and a multicarbohydrase (MC) supplementation to growing pigs were determined. Ten ileal-cannulated barrows (17.3 ± 0.4 kg BW) were randomly assigned to 1 of 5 dietary treatments in a replicated 5 × 4 incomplete Latin square design with 4 periods, each consisting of 5 d of adaptation and 2 d of ileal digesta collection. Four cornstarch-based diets with 44.4% DESBM as the only source of AA, without or with OA and MC supplementation, and a 5% casein-cornstarch diet were used. All diets contained 0.3% titanium dioxide. Data were analyzed using the MIXED model procedures of SAS, with the final model including OA, MC, and the interaction between OA and MC as the main effects. The SID of indispensable AA in DESBM fed to growing pigs were: Arg, 93.2%; His, 85.1%; Ile, 87.1%; Leu, 87.6%; Lys, 88.7%; Met, 87.8%; Phe, 88.4%; Thr, 81.4%; Trp, 73.6%; Val, 84.5%. OA supplementation decreased the AID and SID (P < 0.05) of Arg, Ile, Asp, and Glu, and tended (P < 0.10) to decrease the AID and SID of Phe, Trp, Cys, Gly, and Tyr. MC supplementation did not affect the AID and SID of AA, and no interactive effect on AA digestibility was observed between OA and MC supplementation. In conclusion, dietary supplementation of OA and MC showed no positive effects on improving AA digestibility in DESBM fed to growing pigs.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".