Evaluation of dietary-coated omega-3 fatty acid supplementation on reproduction performance, growth performance, nutrient digestibility, and blood profiles in lactating sows and suckling piglets
Bibliographic record
Abstract
A total of 16 sows (Landrace × Yorkshire) were used in a 33-d trial (7 d before expected parturition) to determine the effects of dietary-coated omega-3 fatty acid supplementation on reproduction performance, growth performance, nutrient digestibility, and blood profiles in lactating sows and suckling piglets. Pigs were randomly allotted into two treatments with eight replicates per treatment, and the parity was 4.9. The dietary treatments were as follows: CON, corn–soybean-meal-based diet [omega-6:omega-3 polyunsaturated fatty acids (PUFA) ratio of 17:1] and TRT, CON + 0.9% omega-3 PUFA (omega-6:omega-3 PUFA ratio of 5:1). The supplementation of coated omega-3 increased piglet’s body weight (BW) (day 7) and average daily gain (ADG) (days 0–7) (P < 0.05) from farrowing to weanling compared with control. No differences (P > 0.05) were observed on reproduction performance, nutrient digestibility, and blood profile in sows. In conclusion, our study demonstrated that the dietary supplementation of 0.9% omega-3 PUFA in corn–soybean-meal-based diet (omega-6:omega3 PUFA ratio of 5:1) improved BW and ADG of suckling piglets during the first week.
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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) | 0.001 | 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".