Analysing the effects of feeding black soldier fly on broiler growth performance: a meta-analysis
Bibliographic record
Abstract
Context The black soldier fly has been found to be a rich protein source, containing high amounts of protein and lipids, making them a valuable and sustainable alternative to conventional protein sources, such as fish and soybean meals, for broilers, which has also been demonstrated by multiple studies. Aims A meta-analysis was conducted using peer-reviewed published research on the use of black soldier flies in poultry diets to test the hypothesis that it enhances growth performance as a sustainable alternative to plant-based protein sources. Methods To this end, we used publicly available databases (Google Scholar, PubMed, Science Direct, Embase) to identify peer-reviewed papers. Retrieved articles were screened for relevance and quality using established criteria. The studies were largely rejected due to non-reporting of variance measures or reporting pooled measures of variance that could not be used. As a result, eight studies were used to extract data for growth performance, including body weight gain. Key results The meta-analysis showed that the effect of feeding black soldier fly meals on body weight gain was non-significant. However, the subgroup analysis showed that utilisation of the frozen form of the black soldier fly lowers body weight gain compared with the birds fed basal diets. Furthermore, the feed intake was significantly (P < 0.05) reduced when the broilers were fed with diets containing black soldier fly meals. The feed conversion ratio showed non-significant (P > 0.05) differences with the supplementation. Conclusions The inclusion level of black soldier fly larvae meal in any form was seen to be safe up to 10%, and the effective duration of the supplementation was ≤35 days. Implications The utilisation of black soldier fly as a sustainable protein source should be encouraged to facilitate farmers in terms of being less dependent on soybean meal, as well as to reduce the competition between humans and animals for plant protein sources.
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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 | 0.013 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.052 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".