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
cg.contributor.affiliationInternational Livestock Research Instituteen
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierRaphael Mrode: 0000-0003-1964-5653en
cg.creator.identifierChinyere Ekine-Dzivenu: 0000-0002-8526-435Xen
cg.creator.identifierGebregziabher Gebreyohanes: 0009-0001-5042-2848en
cg.creator.identifierOjango J.M.K.: 0000-0003-0224-5370en
cg.creator.identifierAlly Okeyo Mwai: 0000-0003-2379-7801en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1079/animalsciencecases.2024.0009en
cg.issn3006-6387en
cg.journalAnimal Science Casesen
cg.reviewStatusPeer Reviewen
cg.subject.ilriDAIRYINGen
cg.subject.ilriFOOD SECURITYen
cg.subject.ilriLIVESTOCKen
cg.volume2024en
dc.contributor.authorMrode, Raphael A.en
dc.contributor.authorEkine-Dzivenu, Chinyere C.en
dc.contributor.authorGebreyohanes, Gebregziabheren
dc.contributor.authorOjango, Julie M.K.en
dc.contributor.authorOkeyo Mwai, Allyen
dc.date.accessioned2025-01-22T07:29:03Zen
dc.date.available2025-01-22T07:29:03Zen
dc.identifier.urihttps://hdl.handle.net/10568/169604
dc.titleThe application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africaen
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
dcterms.accessRightsLimited Access
dcterms.audienceScientistsen
dcterms.available2024-11-27en
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
dcterms.extentascs20240009en
dcterms.issued2024-11-27en
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.subjectdairyingen
dcterms.subjectfarmersen
dcterms.subjectfood securityen
dcterms.subjectgenomicsen
dcterms.subjecthouseholdsen
dcterms.subjectlivestocken
dcterms.subjectsmallholdersen
dcterms.typeCase Study

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