Hormonal response to dietary L-arginine supplementation in heat-stressed sows
Bibliographic record
Abstract
The response of key metabolic hormones to dietary arginine supplementation in heat-stressed lactating sows was determined. Sixty-three sows were exposed to a thermoneutral (TN = 20°C) or hot (HT = 29.4°C) environmental temperature, and were fed diets containing 0.96% (control, C), 1.34% (medium, ME) or 1.73% (high, HI) arginine. Blood samples were obtained 2 h postprandially on days 7, 14, and 21 of lactation and concentrations of insulin, glucose, growth hormone (GH) and prolactin were determined. Arginine supplementation increased insulin concentrations (P < 0.01) on day 14 of lactation, had no effect (P > 0.1) on glucose, and decreased (P < 0.05) GH with ME compared with C diets. There was a temperature × diet interaction (P < 0.05) for prolactin, with values being greater for the C compared with the ME and HI diets at 29.4°C, but being lower at 20°C.There was no effect (P > 0.1) of temperature alone on any of the measured variables. Results indicate that arginine supplementation may mediate improvements in nutrient utilization by regulating the metabolism of both insulin and GH in lactating sows. Key words: Arginine, growth hormone, heat stress, insulin, lactation, prolactin, sow
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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) | 0.000 | 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".