167 Production performance and egg quality of free-range laying hens fed diets containing chopped full-fat dried black soldier fly larvae.
Bibliographic record
Abstract
A 14-week long feeding trial was carried out to evaluate the efficiency, safety and effects on egg quality of three experimental diets using 0%, 10% and 18% chopped full-fat dried black soldier fly larvae (DBSFL) to partially or fully replace soybean meal in free range layer diets. The feed was provided in mash form and DBSFL was mechanically chopped (3 – 5 mm) before mixing in the diet. For each of the three diets, 30 pullets were housed in 2 mobile poultry trailers. The weight gain, feed intake, egg production, egg weight, feed conversion ratio, health and welfare parameters, blood biochemistry and hematology, excreta microbiology, digestive tract mass, egg shell weight and thickness, interior egg quality (albumen weight and height, yolk weight and color, and Haugh Units), yolk metal and fatty acid compositions, and sensory evaluation were examined. Data were analyzed by Least Squares ANOVA with repeated measures using JMP®. Results of the study indicated that control hens had significantly better egg production and feed conversion ratio than 18% DBSFL hens probably because of the higher fat content, presence of chitin and bulkiness of the 18% feed. Control hens had better weight gain, and heavier shell and albumen weights than DBSFL eggs. 18% DBSFL hens had lower plasma albumin, total protein and triglycerides, but heavier duodenum weights than the control hens. Despite these apparent short-comings, the 18% hens were still gaining weight during the laying period, maintaining above 90% hen-day egg production, and their eggs were still in the “Large” egg category. There were no obvious differences between the three treatment groups in yolk metal content or sensory characteristics. In conclusion, if the digestibility of DBSFL can be improved, it may fully replace soybean meal in laying hen diets.
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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 | 0.000 |
| 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".