Evaluation of black soldier fly larvae and protease supplementation of Lohmann Brown-lite laying hens performance and egg quality
Why this work is in the frame
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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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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