Poster prepared by J.M.K. Ojango, R. Mrode, E. Oyieng, D. Mogaka, G. Msuta, E. Lyatuu and A.M. Okeyo for the Maziwa Zaidi Agribusiness Forum, Moshi, Tanzania, 17 October 2019

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
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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