The effect of including full-fat dried black soldier fly larvae in laying hen diet on egg quality and sensory characteristics
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Bibliographic record
Abstract
Effects of including full-fat dried black soldier fly larvae (DBSFL) in laying hen diets on egg quality, fatty acid and metal compositions of the yolk, and the sensory characteristics of hard-boiled eggs were investigated. In addition to the control soy-based layer diet, two experimental diets with soybean meal partially (50%) and completely substituted by chopped DBSFL (10 and 18%, respectively) were examined. Ninety 18-wk-old Novogen Brown layers were randomly divided into six mobile trailers (3 diets × 2 replications) in a 17 week trial. Five eggs from each trailer were collected, weighed and stored in 4 °C for 24 hours on weeks 4, 6, 8, 10, 12, 14 and 16 of the study. Egg shell characteristics (presence of cracks, deformation, and weight and thickness) and interior egg quality (albumen weight and height, yolk weight and colour, and Haugh units) tests were then conducted, and the proportions of the weights of shell, yolk and albumen were calculated. For the yolk nutrient composition tests, 12 eggs from each group was randomly selected, and yolks were extracted and mixed to provide 100 g sample per diet. Six judges also evaluated the sensory attributes of eggs in six sessions (two eggs/session). Control eggs were heavier, and had higher shell and albumen weights than DBSFL eggs. They also had a thicker shell compared to 18% DBSFL eggs. 10% DBSFL eggs had heavier shell and higher yolk to albumen ratio than 18% DBSFL eggs. Yolk fat content increased with the increase in the DBSFL content of the feed. However, odour, flavour and texture perceptions were not affected. In conclusion, partial substitution of soybean meal and oil with DBSFL resulted in the production of eggs with comparable quality to control eggs.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it