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Record W4414047636 · doi:10.5539/jas.v17n10p1

Potential Use of Insects as Raw Material in Food for Feed to Alleviate Some Chicken Production Constraints in Adamawa Region, Northern Cameroon

2025· article· en· W4414047636 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agricultural Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Utilization and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)PopulationRaw materialPoultry farmingConstraint (computer-aided design)IngredientAgricultureEconomic shortage

Abstract

fetched live from OpenAlex

Chicken production in Cameroon is steadily increasing, even in regions traditionally dominated by cattle and goat farming. A significant constraint to this growth is the high cost and limited availability of feed, which represents the largest portion of overall production costs. To enhance the sector’s contribution to population well-being, sustainable feed alternatives are essential. Black soldier fly larvae (BSFL, Hermetia illucens) present a promising solution by converting organic waste into nutrient-rich biomass, offering a sustainable method for waste management and producing high-quality proteins, lipids and micronutrients to help mitigate supply shortages of premix (vitamin concentrates) essential for feed formulation. To explore stakeholder acceptance of insect-based feed, a study was conducted in the Vina Division of the Adamawa region in Cameroon, from July to August 2023, involving 107 participants. The survey examined socioeconomic profiles of poultry farmers and poultry feed sellers, and afterwards focused on the acceptance of the use of BSFL as ingredient in poultry feed. Results indicated that poultry farmers were predominantly male, aged between 30 and 40 years. Most poultry farmers had attained a secondary education, while the majority of poultry feed sellers had only completed primary education and lacked formal qualifications in chicken breeding. Consequently, their skills are poor, less than five years of experience. The most important constraints identified were high costs of ingredients needed in the formulation of feed, product marketing difficulties and, disease management. Traditional protein sources like soybean, fishmeal, and groundnut cake were commonly used, but there was notable openness to insect-based feed. Around 76% of poultry farmers and 100% of poultry feed sellers were willing to use BSFL if they were cost-effective and beneficial for poultry health. The acceptance of insect meal indicates a promising future for its use in poultry feed formulations, pending further studies to confirm its efficacy and economic viability.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.184

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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