Interactions between canola meal and flaxseed oil in the diets of White Lohmann hens on fatty acid profile and sensory characteristics of table eggs
Bibliographic record
Abstract
The current study was designed to assess the fatty acid composition and sensory attributes of eggs procured from hens consuming diets containing canola meal (CM) and/or flax oil (FO). A total of 96 group-caged White Lohmann hens received 1 of 4 isonitrogenous and isoenergetic diets for a period of 4 weeks. Diets were arranged in a 2 × 2 factorial design, containing 24% canola meal, 7.5% flax oil, both, or neither (control). All yolk fatty acids were affected by flax oil inclusion, with the exception of stearic acid (SA) and docosapentaenoic acid (DPA). Only SA was affected by CM inclusion. Additionally, significant interactions between CM and FO were observed for linoleic acid (LA) and total omega-6 polyunsaturated fatty acids (PUFA), with DPA approaching significance (P = 0.069). Trained panelists (n = 8) evaluated 7 aroma ('egg', 'creamy', 'buttery', 'salty', 'sweet', 'barny', and 'oceanic') and 6 flavor ('egg', 'creamy', 'buttery', 'salty', 'brothy', and 'oceanic') attributes of cooked egg product. No significant differences (P > 0.05) in aroma attributes were found between eggs from different dietary treatments. However, egg, creamy, buttery, and oceanic flavors were significantly different between the dietary treatments (P < 0.05). While oceanic flavor significantly increased with inclusion of FO, egg and creamy flavors showed a significant decrease (P < 0.05). Although CM addition alone did not result in significant sensory changes, the pairing of CM and FO resulted in even greater sensory changes than using FO alone, specifically with regard to egg flavor. Results from partial least squares analyses showed a strong association between oceanic flavor and omega-3 PUFA. Oppositely, egg, creamy, and buttery flavors were more correlated with the presence of omega-6 PUFA and palmitic acid. This experiment provides evidence that the interaction between CM and FO in the White Lohmann hen diet results in sensory changes of cooked eggs associated in part with changes in yolk fatty acid content.
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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) | 0.001 | 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 | 0.000 |
| 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".