The effect of feeding flaxseed as a source of omega-3 fatty acids to broiler and layer breeders during rearing and lay on body weight, reproductive performance, and hatchability performance indices
Bibliographic record
Abstract
Omega-3 fatty acids (n-3 FA) are fed to chickens to enrich eggs for human consumption. Feeding n-3 FA to breeder flocks could benefit the breeders and improve their offspring’s health, welfare, and productivity. This study assessed the impacts of feeding flaxseed (n-3 FA source) on broiler breeders’ and layer breeders’ production performance. In experiment one, Ross 708 broiler breeders were fed a control or flaxseed (2.57% co-extruded flaxseed and pulses) diet during rearing and laying. In experiment two, Shaver White and ISA Brown layer breeders were fed a control or flaxseed diet. Diet tended to affect broiler breeder body weight (BW) ( P = 0.06) and significantly affected BW uniformity ( P = 0.045). There were no significant pairwise comparisons. Broiler breeders fed flaxseed produced more eggs than control breeders ( P < 0.001) and had better feed conversion per egg mass ( P < 0.001). Maternal diet tended to affect broiler offspring sex ( P = 0.08), but there were no significant pairwise comparisons. Flaxseed diet did not affect layer breeder weight ( P = 0.90) but decreased uniformity ( P = 0.07). Strain ( P = 0.04), but not diet ( P = 0.95), influenced the sex of layer offspring. More female chicks hatched from Shaver White than ISA Brown breeders. Feeding flaxseed did not negatively affect productivity. Feeding n-3 FA may benefit broiler breeder egg production.
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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".