The influence of dietary corn distillers dried grains with solubles during gestation of sows on fatty acid composition of colostrum and offspring
Bibliographic record
Abstract
Thirty-six sows were randomly assigned to three treatments and fed 0, 125, or 250 g kg−1 corn distillers dried grains with solubles (DDGS), which aimed to evaluate the effects of feeding DDGS to sows during gestation on the fatty acid composition of colostrum and offspring. In colostrum, feeding 0–250 g kg−1 DDGS resulted in linear increase (P < 0.001) in linoleic acid (18:2n-6) level (from 14.7% to 19.8%) and total polyunsaturated fatty acid (PUFA) level (from 16.9% to 22.8%), and linear decrease (P < 0.05) in levels of palmitic acid (16:0), oleic acid (18:1 cis-9), and total saturated fatty acid (SFA). In addition, the percentage of arachidonic acid (20:4n-6) in colostrum was increased from 0.56% to 1.23% (linear effect, P < 0.001, and quadratic effect, P = 0.010) with increasing level of DDGS. Feeding DDGS to sows resulted in linear increase (P < 0.05) in levels of 18:2n-6 (from 13.9% to 20.4%), 20:4n-6 (from 0.53% to 0.73%), docosahexaenoic acid (22:6n-3, from 0.28% to 0.37%), and total PUFA (from 15.9% to 22.6%), and linear decrease (P < 0.001) in levels of 16:0 and SFA of carcass of newborn piglets. The results demonstrated that feeding 125 or 250 g kg−1 corn DDGS to sows increased the proportions of 18:2n-6, 20:4n-6, and total PUFA and decreased the proportions of 16:0 and total SFA in sow colostrum and the carcasses of newborn piglets, implying that inclusion of corn DDGS in diets for sows can alter fatty composition of colostrum and piglets.
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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".