Evidence map›Paper›PMID 41767177›Full record

ArticleVeterinary and animal science2026

Economic potential and production determinants of selected neglected and conventional livestock species in Ogun and Oyo States, Nigeria: A comparative case study.

Maria Oguche, Folasade O Oke, Juliet Kariuki, Richard Oloo, Thomas Potthast, Mizeck G G Chagunda, Regina Birner

Abstract read
In one paragraph

Article in Veterinary and animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maria OgucheInstitute of Agricultural Science in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, Germany.
Folasade O OkeDepartment of Agricultural Economics and Farm Management, Federal University of Agriculture, Abeokuta, Nigeria.
Juliet KariukiInstitute of Agricultural Science in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, Germany.
Richard OlooInternational Livestock Research Institute (ILRI), Kenya.
Thomas PotthastInternational Centre for Ethics in the Sciences and Humanities (IZEW), Eberhard Karls Universität of Tübingen, Germany.
Mizeck G G ChagundaInstitute of Agricultural Science in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, Germany.
Regina BirnerInstitute of Agricultural Science in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are livestock species such as rabbit, guinea fowl, and grasscutter in Sub-Saharan Africa which are traditionally consumed but have not received as much attention and support from policy and research compared to conventional livestock species such as cattle, sheep, goat, pig and poultry. Despite the growing interest in such neglected livestock species (NLS), evidence on their integration, production, and drivers of adoption remain sparse. This comparative study investigates the production characteristics, profitability, and determinants of farmers' choices between conventional and NLS production in Ogun and Oyo States, Nigeria. We conducted a quantitative survey of 183 smallholder livestock producers, selected using simple random and snowball sampling procedures across Ogun and Oyo States. Data were collected through questionnaires and analysed using descriptive statistics, logistic regression, and cost-benefit analysis. The findings show that women were disproportionately engaged in NLS production. Intensive and semi-intensive production systems were the most prevalent, driven by land scarcity and the adaptability of NLS to confined production environments. Feed emerged as the dominant cost component across both species, significantly impacting profitability. Logistic regression analysis showed that the choice of NLS production was positively and significantly associated with mode of land acquisition, profit, and access to credit. Profitability analysis revealed that NLS systems achieved a higher return on investment than conventional systems, offering a viable pathway for enhancing income, food security, and resilience among smallholders in the study areas. Conclusively, with an appropriate policy framework, neglected livestock species could contribute to a transformative shift in Southwestern Nigeria's livestock landscape.

Indexed as

Animal husbandryNeglected livestock speciesNigeriaProduction systemProfitabilityResource efficiency

Identifiers

PMID41767177
PMCPMC12936774

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.