The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa

The 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 emplo...

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Autores principales: Mrode, Raphael A., Ekine-Dzivenu, Chinyere C., Gebreyohanes, Gebregziabher, Ojango, Julie M.K., Okeyo Mwai, Ally
Formato: Case Study
Lenguaje:Inglés
Publicado: 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/169604
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author Mrode, Raphael A.
Ekine-Dzivenu, Chinyere C.
Gebreyohanes, Gebregziabher
Ojango, Julie M.K.
Okeyo Mwai, Ally
author_browse Ekine-Dzivenu, Chinyere C.
Gebreyohanes, Gebregziabher
Mrode, Raphael A.
Ojango, Julie M.K.
Okeyo Mwai, Ally
author_facet Mrode, Raphael A.
Ekine-Dzivenu, Chinyere C.
Gebreyohanes, Gebregziabher
Ojango, Julie M.K.
Okeyo Mwai, Ally
author_sort Mrode, Raphael A.
collection Repository of Agricultural Research Outputs (CGSpace)
description The 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.
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spelling CGSpace1696042025-09-03T05:25:08Z The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa Mrode, Raphael A. Ekine-Dzivenu, Chinyere C. Gebreyohanes, Gebregziabher Ojango, Julie M.K. Okeyo Mwai, Ally dairying farmers food security genomics households livestock smallholders The 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. 2024-11-27 2025-01-22T07:29:03Z 2025-01-22T07:29:03Z Case Study https://hdl.handle.net/10568/169604 en Limited Access Mrode, 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.
spellingShingle dairying
farmers
food security
genomics
households
livestock
smallholders
Mrode, Raphael A.
Ekine-Dzivenu, Chinyere C.
Gebreyohanes, Gebregziabher
Ojango, Julie M.K.
Okeyo Mwai, Ally
The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa
title The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa
title_full The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa
title_fullStr The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa
title_full_unstemmed The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa
title_short The application of digital-genomic tools to improve productivity and profitability in smallholder dairy systems in sub-Saharan Africa
title_sort application of digital genomic tools to improve productivity and profitability in smallholder dairy systems in sub saharan africa
topic dairying
farmers
food security
genomics
households
livestock
smallholders
url https://hdl.handle.net/10568/169604
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