Lower gut nitrogen supply does not affect apparent ileal digestibility of nitrogen or amino acids in growing pigs1
Bibliographic record
Abstract
An implicit assumption in measures of ileal digestibility (ID) to estimate bioavailability of AA and N is that ID is not influenced by lower gut N metabolism. The absorption of nitrogenous compounds from the lower gut, derived from fermentative AA catabolism, may have an impact on N metabolism and microbial AA synthesis in the upper gut as a result of CO(NH(2))(2) recycling. The objective of this trial was to determine the apparent ID of N and AA in growing pigs fed a corn (Zea mays) starch and soybean (Glycine max) meal-based diet and receiving an infusion of N into the caecum at 40% of N intake. Eight pigs (initial BW of 23.3 ± 0.55 kg) were fitted with simple T-cannulas in the ileum and cecum and randomly assigned to 1 of 3 continuous cecal infusion treatments [saline, sodium caseinate, or CO(NH(2))(2)] according to a crossover design with 3 periods. Digesta samples were collected and pooled per pig for each 2-d period, freeze-dried, ground, and analyzed for DM, OM, total N, and AA. Lower gut N supply did not affect apparent ID of DM, OM, total N (85.4, 83.4, and 82.7 ± 1.74%; P = 0.31), or any AA (e.g., 90.1, 89.0, and 89.9 ± 1.08% for Lys; P = 0.70) for saline, casein, and CO(NH(2))(2) treatments, respectively. Apparent ID may be an insufficiently sensitive measure to determine effects of lower gut N metabolism on N absorption from the lower gut and subsequent recycling into the upper gut.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".