Intestinal development of early-weaned piglets receiving diets supplemented with selected amino acids or polyamines
Bibliographic record
Abstract
Early-weaned piglets are subjected to various environmental and nutritional stresses that can result in overall poor performance. Several amino acids associated with the urea cycle have been shown to be critical to intestinal development and metabolism. The objective of this research was to examine performance and intestinal development in early-weaned piglets receiving diets supplemented with selected amino acids or polyamines. Forty-two Yorkshire piglets (3.94 ± 0.43 kg) weaned at ~12.5 d were randomly assigned to diets supplemented with either arginine, glutamate, citrulline, ornithine or polyamines, at levels of 0.93, 6.51, 0.94, 0.90 and 0.39%, respectively. Diets were fed for 12 d and various parameters to assess growth and intestinal development were measured. Glutamate supplementation enhanced both total and mucosal growth in several sections of the small intestine (P < 0.05), whereas polyamines were detrimental to intestinal growth. Arginine and glutamate supplementation prevented weaning-induced villus atrophy in the duodenum, compared with both the control and polyamine-fed pigs (P = 0.004). These results indicate that glutamate and arginine supplementation may enhance intestinal development of the early-weaned piglet, whereas polyamine supplementation at the ratios and concentrations used in this experiment is not recommended in typical early-weaned piglet diets. Key words: Early-weaning, amino acids, piglet, polyamine, small intestine, development
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) | 0.001 | 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 | 0.001 | 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".