Effects of functional amino acid blend dietary supplementation with different feeding regimens on growth performance and protein utilization in weaned pigs
Bibliographic record
Abstract
A study was conducted to investigate the effects of functional amino acid (AA) blend dietary supplementation with different feeding regimens on growth performance and protein utilization in weaned pigs. Pigs were fed either a standard (STD) diet or a supplemental (SUP) diet, which included an additional AA blend in the STD diet. Ninety-six piglets (6.51 ± 0.34 kg) were randomly assigned to one of four feeding regimens: a STD diet throughout the experiment, or a SUP diet for phase I (SUP7), until phase II (SUP21), or until phase III (SUP35). During phase I, pigs fed an SUP diet exhibited a greater ( P < 0.05) average daily gain and gain-to-feed ratio (G:F) than those fed the STD diet. Pigs in the SUP35 group had a higher ( P < 0.05) G:F than those in the SUP7 group. Pigs in the SUP21 and SUP35 groups had greater ( P < 0.05) digestibility of N than those in the SUP7 group. Pigs in the SUP35 group had upregulated ( P < 0.05) mRNA encoding mammalian targets of rapamycin and cationic AA transporter1 in longissimus dorsi than those in the SUP21 group. Feeding the SUP diet throughout the 5-week nursery phase is recommended to achieve optimal growth performance and protein metabolism.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".