Evaluation of black soldier fly larvae and protease supplementation of Lohmann Brown-lite laying hens performance and egg quality
Bibliographic record
Abstract
Abstract Feed costs represent up to 60-70% of the total cost of poultry production, with protein sources being the most expensive feed component. Black soldier fly larvae meal (BSFLM) shows promise as a sustainable protein source for use in animal diets. This research was conducted to determine the effects of including up to 13% defatted BSFLM and a supplementary protease-based enzyme (Concentrase-P; CBS Bio Platforms, Inc., Calgary AB, Canada) on laying hen performance and egg quality. To test this objective, 180 Lohmann Brown-Lite hens (52 weeks of age) were fed experimental diets containing 0%, 6.5%, or 13% BSFLM, with or without Concentrase-P (3 × 2 factorial arrangement of treatments). The treatments were fed over 20 weeks. Results indicated reduced feed intake and body weight in laying hens fed a 13% dietary inclusion level of BSFLM ( ), while other performance traits (egg production and FCR) were similar among treatments ( ) and met industry performance standards. Shell weight and egg breaking strength did not significantly change with the dietary inclusion level of BSFLM or enzyme inclusion ( ), although a significant decrease in egg weight and albumen height was noted ( ), as well as a significant decrease in albumen height for the Concentrase-P treatments ( ). Yolk colours were significantly lighter and redder in birds fed diets containing high levels of BSFLM ( ). Results support the use of BSFLM at dietary inclusion levels up to 13% in laying hen diets. Concentrase-P does not appear to be required in combination with BSFLM in terms of growth and laying performance, although potential benefits to other physiological factors are worth consideration.
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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".