Maziwa Zaidi (More Milk) in Tanzania―Best-bet technologies and innovations: Digital platforms to enhance animal productivity

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Information about Maziwa Zaidi (More Milk) in Tanzania―Best-bet technologies and...

Published on October 15, 2019

Author: ILRI


1. Maziwa Zaidi (More Milk) in Tanzania: Best-bet Technologies and Innovations Digital platforms to enhance animal productivity J.M.K. Ojango, R. Mrode, E. Oyieng, D. Mogaka, G. Msuta, E. Lyatuu, A.M. Okeyo KEY MESSAGES There is a huge gap in the productivity of dairy animals in smallholder farming systems relative to larger scale farms  Need to increase productivity of existing dairy animals  Need better services for dairy producers  Need evidence to guide management decisions OPPORTUNITIES AND BENEFITS Leverage digital technologies to access and use data  Enable linked data on many farmers and animals, hence enable evaluation of the cattle's' productive potential as a bench march for increasing productivity  Provide information on needs and demands for services supporting increased dairy production  Data for dairy processors to use in determining milk supply sources Types of Agribusiness users Animal feed suppliers Milk marketers Artificial Insemination (AI) service providers Animal health service providers Pictures SUITABILITY What’s needed to use the technology platform - Smart phone and some training - Register onto platform - Some knowledge on opportunities in dairy production - Desire to change the status quo EVIDENCE • Data on livestock performance and its evaluation over time has transformed cattle productivity, e.g., Sweden: This document has a Creative Commons Attribution 4.0 International Licence. October 2019 March 2017 PROBLEM BEING ADDRESSED • Lack of information to guide improvement of dairy productivity • Lack of information to select the best breed-types available to improving productivity • Limited linkages and networking among service providers to offer best quality services for groups of smallholder farmers (failure to scale, low levels of income, no incentive to change) Maziwa Zaidi thanks all donors and organizations which globally support the work of ILRI and its partners through their contributions to the CGIAR system Resource requirements (low to high, between 1 and 5) Labour Cash Access to inputs Knowledge and skills Impact areas (low to high, between 1 and 5) Food security Youth empowerment Women empowerment Livelihoods Market access and linkages Outcome difficulty (low to high, between 1 and 5) Business profitability Environmental sustainability Youth empowerment Women empowerment 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 Year Kg ECM • In Tanzania, First steps have been taken. Data is now being collected on 45,000 animals on 30,190 farms in seven regions (Arusha, Kilimanjaro, Tanga, Iringa, Njombe, Mbeya and Songwe) • Milk production is being monitored on 14,733 animals Region​ No of animals​ Average Test- day Milk ± SE​ %CV​ Total estimated milk production per lactation (ltrs) Arusha​ 2500​ 7.82±0.068​ 43.69​ 2,385.1 Iringa​ 1344​ 6.20±0.072​ 42.8​ 1,891.0 Kilimanjaro​ 2880​ 6.62±0.078​ 62.91​ 2,019.1 Mbeya​ 2828​ 10.17±0.09​ 46.89​ 3,101.85 Njombe​ 1373​ 11.15±0.118​ 39.1​ 3,400.75 Tanga​ 3814​ 6.13±0.061​ 61.33​ 1,869.65 Grand Total​ 14733​ 7.71±0.036​ 56.09​ 2.351.55

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