The Application of Digital-Genomic Tools to Improve Productivity and Profitability in Smallholder Dairy Systems in sub-Saharan Africa

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cg.authorship.typesCGIAR single centreen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.coverage.regionSub-Saharan Africaen_US
cg.creator.identifierRaphael Mrode: 0000-0003-1964-5653en_US
cg.creator.identifierChinyere Ekine-Dzivenu: 0000-0002-8526-435Xen_US
cg.creator.identifierGebregziabher Gebreyohanes: 0009-0001-5042-2848en_US
cg.creator.identifierOjango J.M.K.: 0000-0003-0224-5370en_US
cg.creator.identifierAlly Okeyo Mwai: 0000-0003-2379-7801en_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.1079/animalsciencecases.2024.0009en_US
cg.issn3006-6387en_US
cg.journalAnimal Science Casesen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.ilriDAIRYINGen_US
cg.subject.ilriFOOD SECURITYen_US
cg.subject.ilriLIVESTOCKen_US
cg.volume2024en_US
dc.contributor.authorMrode, Raphael A.en_US
dc.contributor.authorEkine-Dzivenu, Chinyere C.en_US
dc.contributor.authorGebreyohanes, Gebregziabheren_US
dc.contributor.authorOjango, Julie M.K.en_US
dc.contributor.authorOkeyo Mwai, Allyen_US
dc.date.accessioned2025-01-22T07:29:03Zen_US
dc.date.available2025-01-22T07:29:03Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/169604en_US
dc.titleThe Application of Digital-Genomic Tools to Improve Productivity and Profitability in Smallholder Dairy Systems in sub-Saharan Africaen_US
dcterms.abstractThe dairy sector contributes 30% and 44% of the livestock-related agricultural GDP in Tanzania and Kenya, respectively. Despite this significant contribution, it is predominantly comprised smallholder farmers with few cows providing vital support in terms of food security, household income and employment for millions of farmers. Research aimed at enhancing productivity and sustainability in these smallholder dairy systems is crucial for rural development, increasing farm incomes, creating employment and supporting women and youth. However, a major challenge is the absence of a routine performance data collection system. Previous efforts to address this limitation often relied on methods from well-established dairy systems in developed countries which frequently failed to adapt effectively. Advances in mobile technology have prompted attempts to investigate alternative cost-effective and practical data recording systems in the smallholder dairy farming with a major focus on information and communications technology (ICT). Successful implementation of digital tools for data collection and synthesis to generate management information as feedback to farmers using ICT-based extension tools has led to increased productivity and household income. Additionally, the use of genomic information allows for genetic evaluation with minimal pedigree information and supports the initiation of breed improvement programs for increased productivity.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.audienceScientistsen_US
dcterms.available2024-11-27en_US
dcterms.bibliographicCitationMrode, R., Ekine-Dzivenu, C., Gebreyohanes, G., Ojango, J. and Mwai, O. 2024. The Application of Digital-Genomic Tools to Improve Productivity and Profitability in Smallholder Dairy Systems in sub-Saharan Africa. Animal Science Cases 2024: ascs20240009.en_US
dcterms.extentascs20240009en_US
dcterms.issued2024-11-27en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.subjectdairyingen_US
dcterms.subjectfarmersen_US
dcterms.subjectfood securityen_US
dcterms.subjectgenomicsen_US
dcterms.subjecthouseholdsen_US
dcterms.subjectlivestocken_US
dcterms.subjectsmallholdersen_US
dcterms.typeCase Studyen_US

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