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Black Soldier Fly Larvae Meal (BSFLM) as an alternative protein source in sustainable aquaculture production: A scoping review of its comprehensive impact on shrimp and prawn farming

2024· review· en· W4405338119 on OpenAlexaff
Mojtaba Shafiee, Zoe Longworth, Hassan Vatanparast, Meisam Tabatabaei

Bibliographic record

VenueAnimal Feed Science and Technology · 2024
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsUniversity of Saskatchewan
FundersUniversiti Malaysia TerengganuMinistry of Higher Education, Malaysia
KeywordsPrawnAquacultureFisheryShrimpAgricultureFish mealBiologyFish <Actinopterygii>Ecology

Abstract

fetched live from OpenAlex

Aquaculture, a globally expanding industry, confronts significant challenges in sourcing sustainable and clean feed, especially for shrimp and prawn species within the Arthropoda family. The traditional reliance on fish meal (FM) poses ecological and economic dilemmas, driving the quest for alternative, environmentally-friendly protein sources. Black Soldier Fly Larvae Meal (BSFLM) has emerged as a promising candidate, offering a high protein content, essential amino acids, and strong sustainability credentials. These include its contribution to waste reduction and the circular economy, positioning BSFLM as a clean and sustainable alternative. This scoping review, adhering to the PRISMA-SR guidelines, systematically evaluates the current research on BSFLM inclusion in shrimp and prawn aquaculture diets. We conducted a thorough literature search from January 2000 to May 2023 across multiple databases, focusing on studies investigating the impacts of BSFLM as a direct FM substitute. We provide an in-depth analysis of BSFLM's comprehensive impact on crucial aquaculture aspects such as growth performance, feed efficiency, survival rates, body composition, and health. Notably, we explore BSFLM's influence on digestive enzyme activities, nutrient digestibility, antioxidant activities, immune responses, biochemical and metabolic parameters, and the health and morphology of intestinal and hepatic systems. Our review extends to the nutritional dynamics of BSFLM, the role of chitin, and the effects on water quality, underscoring both the potential benefits and challenges of BSFLM implementation. BSFLM demonstrates a spectrum of effects from enhancing growth performance to influencing health and nutrient metabolism, varying with inclusion levels. While offering a sustainable and clean alternative to FM, BSFLM's integration into aquaculture demands a nuanced approach, considering species-specific responses and ecological impacts. The review underlines the necessity for further comprehensive research, economic evaluation, and policy development to optimize the use of BSFLM in sustainable aquaculture practices. • Black Soldier Fly Larvae Meal (BSFLM) supports sustainable aquaculture production. • BSFLM offers a sustainable, nutrient-rich feed option. • Moderate BSFLM levels enhance growth and feed efficiency. • BSFLM improves antioxidant activities and immune responses. • Balanced BSFLM inclusion is crucial for shrimp health.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0090.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.038
GPT teacher head0.345
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations10
Published2024
Admission routes1
Has abstractyes

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