Maternal Diet with Diverse Omega–6/Omega–3 Ratio Affects the Brain Docosahexaenoic Acid Content of Growing Chickens
Bibliographic record
Abstract
Eggs with diverse omega-6/omega-3 ratio produced by feeding breeder hens a wheat-soybean meal-basal diet containing 5% (wt/wt) sunflower oil (H(omega)6), 5% fish oil (H(omega)3) or 2.5% sunflower oil plus 2.5% fish oil (M(omega)3omega6) were incubated. The hatched chicks were fed a docosahexaenoic acid (DHA)-deficient diet up to 6 weeks of age. The fatty acid composition of chick brain was determined on 0, 2, 4 and 6 weeks and brain weight was taken on day 0 and day 42. The omega-6/omega-3 ratios were 37.12, 4.21 and 0.98 for the maternal diet; 28.36, 2.83 and 0.89 for the egg yolk; 1.94, 0.48 and 0.18 for hatched chick brain (p < 0.05). At 2 weeks of age, the omega-6/omega-3 ratios were 1.88, 0.81 and 0.60 for chicks hatched from hens fed H(omega)6, M(omega)3omega6 and H(omega)3 diets, respectively. The brain DHA contents at 0 and 2 weeks of age were Homega3 > M(omega)3omega6 < H(omega)6 (p < 0.05) and at 4 and 6 weeks of age H(omega)3 = M(omega)3omega6 > H(omega)6. Dietary C18:3omega3 in the starter and finisher diet did not increase brain DHA (p > 0.05). The significant increase in the content of C22:5omega3 at 6 weeks of age in group 1 birds with a concomitant reduction in DHA suggests a weak delta-4 desaturation but an effective delta-6 and delta-5 desaturation similar to human infants. Considering the role of DHA in early brain development and growth, the maternal supply of DHA during growth might be of importance when fed a DHA-deficient neonatal diet.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".