Tanzania dairy genetics
project:
Identifying appropriate
germplasm for
smallholder dairy farmers
Dennis Mujibi (ILRI)
Ince...
Problem Statement
 Several past & current dairy improvement
programs have an integrated approach (i.e.
Market development...
Problem Statement
0
1
2
3
4
5
6
7
8
Yield(Ltr)
Breed Types
Average Test Day Milk Production in
Major breeds
YIELD
0
1000
2...
Objectives
 Characterization of current
dairy cattle genotypes in use
& the determination of the
most appropriate genotyp...
Approach
Apply emerging NGS technologies to
determine breed composition of dairy
animals
Correlate breed-type with
perform...
Project Study Sites
 Selection Criteria
On-going ‘Maziwa
Zaidi’ Activities
Emerging Dairy
industries with high
potential
...
Data requirements
 Reproductive Performance
 Breeding and Bull use pattern
 Bio-samples and genotyping
 Survival and m...
Activities
 Tissue and hair sampling: to be carried out during
ear tagging
 Longitudinal survey: Visit farmers every 2 m...
Data flow and processing
Phenotypic data on
animals from
project farms
Genomic data on
animals from project
farmsConnectiv...
Capacity Development
 Genetic diversity studies*
 Cost benefit analysis*
 Performance evaluation – 2 students
 Program...
Performance recording is key to identification of appropriate genotypes
Field Activities
D
G
E
A
Animal Selection/Feedback
 Cow Selection
In-calf or calved down within the last 3 months
Breed diversity
Minimal relation...
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Tanzania dairy genetics project: Identifying appropriate germplasm for smallholder dairy farmers

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Presented by Dennis Mujibi (ILRI) at the Inception workshop of the AgriTT project: Evaluation of breed composition, productivity and fitness for smallholder dairy cattle in Tanzania, Dar es Salaam, 10-11 June 2014

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Tanzania dairy genetics project: Identifying appropriate germplasm for smallholder dairy farmers

  1. 1. Tanzania dairy genetics project: Identifying appropriate germplasm for smallholder dairy farmers Dennis Mujibi (ILRI) Inception workshop of the AgriTT project: Evaluation of breed composition, productivity and fitness for smallholder dairy cattle in Tanzania, Dar es Salaam, 10-11 June 2014
  2. 2. Problem Statement  Several past & current dairy improvement programs have an integrated approach (i.e. Market development - MoreMilkIT; improving management and Feeding - EADD)  There is often no genetic strategy Most farmers want high producing animals thus continuously upgrade to higher exotic levels even where it is undesirable to do so.
  3. 3. Problem Statement 0 1 2 3 4 5 6 7 8 Yield(Ltr) Breed Types Average Test Day Milk Production in Major breeds YIELD 0 1000 2000 3000 4000 5000 Harsh Poor Good Production environment Yield(l) Indigenous X-bred Exotic Ideal: Designer genetics fit to specific smallholder production systems
  4. 4. Objectives  Characterization of current dairy cattle genotypes in use & the determination of the most appropriate genotypes for smallholder dairy farmers in Rungwe and Lushoto  Understanding of what dairy technologies are most desired (lacking) by smallholder dairy farmers in Rungwe and Lushoto
  5. 5. Approach Apply emerging NGS technologies to determine breed composition of dairy animals Correlate breed-type with performance data obtained through participatory appraisal, in-situ Listen to farmers…continuously and incorporate their concerns and views in design of on-going interventions
  6. 6. Project Study Sites  Selection Criteria On-going ‘Maziwa Zaidi’ Activities Emerging Dairy industries with high potential Range of breed types
  7. 7. Data requirements  Reproductive Performance  Breeding and Bull use pattern  Bio-samples and genotyping  Survival and mortality data  Milk yield, Sanitation and Quality data  Animal health/infertility data  Cost benefit analysis/Productivity Analysis  Dairy technology gaps and knowledge systems
  8. 8. Activities  Tissue and hair sampling: to be carried out during ear tagging  Longitudinal survey: Visit farmers every 2 months for 1 year  Performance recording: To be completed by farmer and enumerator during longitudinal study  Focus group discussion: At least 2 focus group discussions  ICT technologies to record farmer Knowledge, views and concerns
  9. 9. Data flow and processing Phenotypic data on animals from project farms Genomic data on animals from project farmsConnectivity via web and application platforms Feedback to support management decisions Individua l farmers Relation al Databas e Computin g Server Data capture, visualization and feedback platform* Analytical platform*
  10. 10. Capacity Development  Genetic diversity studies*  Cost benefit analysis*  Performance evaluation – 2 students  Programming: development of decision support and data visualization tools – 1 student  Programming: development of data collection and farmer feedback systems – 1 student  Relational database development – 1 student  Analytical platform development – 2 students
  11. 11. Performance recording is key to identification of appropriate genotypes Field Activities D G E A
  12. 12. Animal Selection/Feedback  Cow Selection In-calf or calved down within the last 3 months Breed diversity Minimal relationship between cows  At least 2 focus group discussions to provide feedback (Possible) Provision of extension materials on specific topics through Audio
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