Body fat mobilization during lactation in high-producing sows fed varied omega-6 to omega-3 fatty acid ratios
Bibliographic record
Abstract
The effects of reducing dietary omega (n)-6 to n-3 fatty acid (FA) ratios on body fat mobilization in lactating sows (n = 100) were investigated. Treatments consisted of a control (tallow, low polyunsaturated FA, 8:1 n-6:n-3 ratio), 3 diets with plant oil based ratios (9:1P, 5:1P, and 1:1P), and a 5:1 fish oil diet (5:1F). An epinephrine [1.6 μg kg−1 body weight (BW)] challenge was used to measure adipose tissue lipolytic activity (glycerol, NEFA, and leptin) on d 5 of lactation from a subset of sows (9:1P and 1:1P groups) fitted with jugular catheters. Lactation feed intake was greatest for control and 5:1P-fed sows (8.3 kg d−1), lowest for 1:1P-fed sows (7.4 kg d−1), and intermediate for 9:1P- and 5:1F-fed sows (7.7 kg d−1; P = 0.047). Piglet average daily gain (ADG) and estimated milk output were unaffected by diet (P > 0.10). The 1:1P-fed sows had (P < 0.10) greater backfat thickness, increased circulating leptin, and reduced feed intake, which are correlated (P < 0.10) with increased circulating glycerol and NEFA. Sows fed a plant oil based 1:1 n-6:n-3 FA ratio appeared to be in a state of negative energy balance; however, as no effects were observed on piglet ADG, these sows were able to provide the same level of nutrients to their offspring as the 9:1P fed sows.
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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".