Effect of γ-aminobutyric acid on growth performance, behavior and plasma hormones in weaned pigs
Bibliographic record
Abstract
Li, Y. H., Li, F., Liu, M., Yin, J. J., Cheng, B. J., Shi, B. M. and Shan, A. S. 2015. Effect of γ-aminobutyric acid on growth performance, behavior and plasma hormones in weaned pigs. Can. J. Anim. Sci. 95: 165–171. The study was conducted the effects of dietary γ-aminobutyric acid (GABA, 0 and 30 mg kg−1) on average daily intake, growth performance, behavior and plasma hormone levels in weaned pigs. A total of 96 28-d-old healthy weaned male pigs (Duroc×Landrace×Yorkshire) with similar weight were randomly assigned into two groups. Six units were included in each treatment, with eight pigs in each unit. The trial lasted 35 d. Four pigs were exchanged between every two pens in the same treatment on day 28. No difference was observed on average daily feed intake, average daily gain and feed-to-gain ratio between the pigs fed 30 mg kg−1 GABA diets and the pigs fed basal diet, respectively. Longer feed consumption time and lower biting incidences were observed in pigs fed GABA, compared with those fed basal diet, respectively. Plasma growth hormone concentration was significantly increased and the plasma concentrations of adrenocorticotrophic hormone and cortisol were lower in weaned pigs in the GABA supplementation group on day 35. Dietary GABA significantly increased the plasma neuropeptide Y concentration on day 14 and day 35. It is indicated that dietary GABA reduced aggressive behavior and regulated endocrine hormones in weaned pigs, ultimately reducing the negative influences of stress (weaning and mixing) on the pigs.
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) | 0.000 | 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 | 0.000 | 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".