Evidence map›Paper›PMID 41917653›Full record

ArticleTropical animal health and production2026

Diversity of Gudali cattle husbandry practices in Benin.

Loukaiya Zorobouragui, Alassan S Assani, Isidore Houaga, Hilaire S S Worogo, Ibrahim T Alkoiret

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Article in Tropical animal health and production, 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

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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

5 authors.

Loukaiya ZorobouraguiLaboratory of Ecology, Health and Animal Production (LESPA), Faculty of Agronomy, University of Parakou, Parakou, Benin. louckzoro@gmail.com.ORCID http://orcid.org/0009-0006-9344-7902
Alassan S AssaniLaboratory of Ecology, Health and Animal Production (LESPA), Faculty of Agronomy, University of Parakou, Parakou, Benin.
Isidore HouagaThe Roslin Institute, University of Edinburgh, Roslin, UK.
Hilaire S S WorogoLaboratory of Ecology, Health and Animal Production (LESPA), Faculty of Agronomy, University of Parakou, Parakou, Benin.
Ibrahim T AlkoiretLaboratory of Ecology, Health and Animal Production (LESPA), Faculty of Agronomy, University of Parakou, Parakou, Benin.

Funding

Fondation L'Oréal For Women in Science 2024 Young Talents Sub-Saharan Africa programIslamic Development Bank CCD/SA/729, ID: 2023-603536Marie Curie Sklodowska Fellowship programme TAL-MSCFP-C2FLW-2021
6 · The paper itself

Abstract

Livestock rearing practices are important to sustainable agricultural systems and rural livelihoods as they provide income and food security. This study of 5,144 Gudali cattle on 120 farms in Malanville and Tchaourou (Benin) analyzes traditional breeding practices to optimize productivity. Researchers collected quantitative and qualitative data through a semi structured field survey and analyzed it using R, performing descriptive statistics, factorial correspondence analysis, hierarchical clustering, and multinomial logistic regression model. Four distinct Gudali cattle farming system groups were identified based on livestock management practices and herd composition. The first system comprises large sedentary purebred herds with an average of 74.50 ± 9.74 heads, mainly managed by Fulani Haoussa breeders with no formal schooling. The second system comprises large transhumant purebred herds averaging 90.11 ± 30.84 heads, often inherited and managed by unschooled and untrained herders. The third, about 34.17% of farmers, includes sedentary herds of mixed breed Gudali with an average of 24.27 ± 3.63 heads. The fourth is smaller transhumant herds averaging 23.68 ± 5.05 heads, dominated by illiterate Fulani Haoussa breeders (92.5%). Multinomial logistic regression showed that breeder ethnicity, education level, herd origin and herd composition significantly influenced system choice. For example, Fulani Haoussa and Zerma breeders favored sedentary pure-breeding or mixed transhumant systems, whereas technical training increased and Koranic schooling decreased the likelihood of sedentary pure-breeding. Similarly, herds inherited from family legacy strongly favored pure-breeding while herds acquired by purchase or containing multiple breeds and bulls were more often managed as mixed or transhumant systems. Overall, the results highlight the diversity of Gudali breeding practices and socio-economic characteristics. These typologies and determinants can guide the design of sustainable community-based cattle breeding programs and livestock policy in Benin’s dairy and beef sectors.

Indexed as

Animal HusbandryBreedingAnimalsBeninCattleFemaleLogistic ModelsMaleSurveys and QuestionnairesBeninBreeding systemsCommunity-based breedingGudali cattleLivestockLivestock productionMultinomial logistic regressionSustainable livestock development

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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.