Dietary α‐linolenic acid increases the n−3 PUFA content of sow's milk and the tissues of the suckling piglet
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Bibliographic record
Abstract
alpha-Linolenic acid (18:3n-3) is a precursor to DHA (22:6n-3), which is essential for normal growth and development in the infant. This study was undertaken to assess how a raised 18:3n-3 intake in sows affects the n-3 PUFA content of the suckling piglet. Sows consumed a high-18:3n-3 or control diet (n-3 PUFA/n-6 PUFA, 0.5 vs. 0.05, respectively) for 10 d prior to parturition and for 14 d postpartum. Piglets suckled from their mothers until 14 d of age, when they were sacrificed. Sows consuming the high-18:3n-3 diet had 141% more 18:3n-3 and 86% more 22:6n-3 in their milk compared to control sows. There was no difference in the proximate composition of the piglets. The n-3/n-6 PUFA ratio was 82% higher in the milk of sows consuming the high-18:3n-3 diet compared to controls. Piglets suckling from sows consuming the high-18:3n-3 diet had 423% more 18:3n-3 in the carcass as well as a 460% higher n-3/n-6 PUFA ratio than controls. The piglets suckling from sows consuming the high-18:3n-3 diet had 333% more 18:3n-3 and 54% more 22:6n-3 in the liver, as well as a 114% higher n-3/n-6 ratio than control piglets. Piglets suckling from sows consuming a high-18:3n-3 diet also had 24% more 22:6n-3 and a 33% higher n-3/n-6 ratio in the brain compared to control piglets. A high 18:3n-3 intake in the sow increases not only the 18:3n-3 but also the 22:6n-3 content of sow's milk and the tissues of the suckling piglet.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it