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Thoughts on Promoting Inclusiveness
      in Dairy Development
       A. Omore, L. Kurwijila, S. Worsley


    Tanzania National Dairy Stakeholders’ Meeting
          Dar es Salaam, 22 February 2013
Key questions
Given current status and desire to extend the frontiers of
commercial dairy value chains in Tanzania….

• Where are the new frontiers?

• What has so far hindered dairy development in these
  areas?
   • What are the main technological challenges?
   • What are the main organisational challenges?
   • What are the policy and institutional barriers, whether
     written and un-written (mind-sets)?
   • What kinds of partnerships can overcome the challenges?
More Milk in Tanzania Project




A recent synthesis identified 4
inter-related key problems
Key problems                                       More Milk in Tanzania Project



1. Dominant direct milk sales of small volumes that
   preclude economies of scale, resulting in high costs of
   production and marketing
  Milk marketing outlets   (NBS, 2003)



  Milk Buyer                      %
  Neighbours                      86.1
  Local market                     5.5
  Secondary market                 0.5
  Processors                       1.4
  Large scale farms                0.2         3%
                                                          Processed milk
  Trader at farm                   4.5                    and dairy products

  Other                            1.7
                                                          Informally
  TOTAL                          100.0   97%
                                                          marketed raw milk
                                                          (liitle value
                                                          addition)
Key problems (cont’d)
2. Credit facilities are lacking. This contributes to low access
   to basic inputs and services or working capital to purchase
   them

3. Lack of appropriate organizational models for pre-
   commercial producers. These are required to facilitate
   collective action

4. Seasonality of rainfall and related effects are strong. This is
   reflected in producers’ management of their animals’
   reproductive cycle and transhumance. It exacerbates
   seasonality of feed availability and milk volumes
Huge seasonal fluctuation in milk
                                  supply from traditional herd
                                        Milk collection by a small scale processor from traditional herd in
                                                                  Morogoro, 2009
                                13000
                                12500
                                12000
                                11500
                                11000
                                10500
                                10000
                                 9500
Volume of milk (litres/month)




                                 9000
                                 8500
                                 8000
                                 7500
                                 7000
                                 6500
                                 6000
                                 5500
                                 5000
                                 4500
                                 4000
                                 3500
                                 3000
                                 2500
                                 2000
                                 1500
                                 1000
                                  500
                                    0
                                        Jan   Feb   Mar   Apr   May     Jun   Jul   Aug        Sep   Oct   Nov   Dec
                                                                         Month
                                                                 Average/month      Total supply
Large yield gaps:

                                6000
Milk yield per Lactation (Kg)




                                5000
                                                                 x3
                                4000
                                                                                                         x3          x3

                                3000
                                                                      x3

                                2000
                                                        x2
                                                   y2                                       x2
                                1000        x1
                                                                               x1

                                      0
                                 y1       Indigenous Crossbred        Exotic Indigenous   Crossbreds    Synthetics   Exotics


                                                   Mixed rain fed                     Mixed rain fed      Large-scale
                                                 temperate/highlan                  humid/sub-humid    commercial ranches
                                                         d


                                Xi = Yield gaps due to “animal husbandry practices” : 33 - 76 %
                                Yi = Gap in productivity due to “genotype”: 18 - 74%
                                                                                                       Source: Mwacharo et al., 2009
Low per capita milk consumption
        Per capita milk consumption in EAC countries (Kenya, 2009; Rwanda 2011, Tanzania 2010 amd Uganda
                                                       2009)
220

200

180

160

140

120
                                                                                                 Per capita
100
                                                                                                 WHO recommendation
80

60

40

20

  0
          Kenya                Rwanda                Tanzania               Uganda
Gap between investments in milk
                       prodn., collection and processing capacity
                              Gap between investments in milk prodn1. , collection and processing2 (1NBS
                                                   , 2003 and 2TDB data 2012)
                     110000
                     105000
                     100000
                      95000
                      90000
                      85000
                      80000
                      75000
Volume of milk/day




                      70000
                      65000
                      60000                                                           Marketable surplus milk /d (28% of wet season
                      55000                                                           NBS-2003)
                      50000                                                           Processing capacity (2012)
                      45000
                      40000
                      35000                                                           Milk collection capacity (2012)
                      30000
                      25000
                      20000                                                           Milk collected l/day (2012)
                      15000
                      10000
                       5000
                          0




                                                    Region
Underutilisation of current milk
collection capacity
  Region                   No. Of milk          Milk collected          Utilised % MCC
                       collection units                   (l/d)        capacity capacity
                              (coolers)                                    (l/d) utilisation
  Arusha                              17                  2,600          3,280 (-)
  Kilimanjaro                           9                10,400          3,580 34
  Mara                                57                 92,000         12,500 14
  Kagera                                3                        (-)       150 (-)
  Mwanza                                1                 1,500              (-) (-)
  Tanga                               42                 95,900         40,734 42
  Morogoro                              9                19,300          6,266 32
  Coast                                 8                  5950           2998 50
  Iringa                              12                         (-)     3,255 (-)
  Mbeya                               26                 17,238         19,874 115
                                184 (55)                243,478         94,137 38.7

                source :TDB data 2012; ( - )=+ incomplete data
Examples of promotion of industry vs.
inclusiveness
Industry approach              Inclusiveness approach
1. Invest where there are      1. Target the poor
   likely to be high returns       <$2/day
2. Go where there’s            2. Go to marginalised
   already some dairy              areas
   development                 3. Meet the small-scale
                                   producers in there
3. Promote capital                 current markets, that
   intensive approaches            are often informal
   like chilling plants        4. Explore working with
4. Promote modern                  current assets of the
   breeds only                     poor, including
                                   traditional breeds
DDF is in a good position to promote inclusiveness
and complement specific projects
Possible DDF roles
1.   Promoting a more inclusive orientation in investments
     through strengthening of public-private partnerships
2.   Promoting professionalization and best practices
3.   Acting as a platform for information and knowledge sharing
     including:
     •     as a national innovation platform to address systemic
           bottlenecks and co-create solutions
     •     facilitating mentoring of milk-shed level dairy
           innovation platforms

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Thoughts on promoting inclusiveness in dairy development

  • 1. Thoughts on Promoting Inclusiveness in Dairy Development A. Omore, L. Kurwijila, S. Worsley Tanzania National Dairy Stakeholders’ Meeting Dar es Salaam, 22 February 2013
  • 2. Key questions Given current status and desire to extend the frontiers of commercial dairy value chains in Tanzania…. • Where are the new frontiers? • What has so far hindered dairy development in these areas? • What are the main technological challenges? • What are the main organisational challenges? • What are the policy and institutional barriers, whether written and un-written (mind-sets)? • What kinds of partnerships can overcome the challenges?
  • 3. More Milk in Tanzania Project A recent synthesis identified 4 inter-related key problems
  • 4. Key problems More Milk in Tanzania Project 1. Dominant direct milk sales of small volumes that preclude economies of scale, resulting in high costs of production and marketing Milk marketing outlets (NBS, 2003) Milk Buyer % Neighbours 86.1 Local market 5.5 Secondary market 0.5 Processors 1.4 Large scale farms 0.2 3% Processed milk Trader at farm 4.5 and dairy products Other 1.7 Informally TOTAL 100.0 97% marketed raw milk (liitle value addition)
  • 5. Key problems (cont’d) 2. Credit facilities are lacking. This contributes to low access to basic inputs and services or working capital to purchase them 3. Lack of appropriate organizational models for pre- commercial producers. These are required to facilitate collective action 4. Seasonality of rainfall and related effects are strong. This is reflected in producers’ management of their animals’ reproductive cycle and transhumance. It exacerbates seasonality of feed availability and milk volumes
  • 6. Huge seasonal fluctuation in milk supply from traditional herd Milk collection by a small scale processor from traditional herd in Morogoro, 2009 13000 12500 12000 11500 11000 10500 10000 9500 Volume of milk (litres/month) 9000 8500 8000 7500 7000 6500 6000 5500 5000 4500 4000 3500 3000 2500 2000 1500 1000 500 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Month Average/month Total supply
  • 7. Large yield gaps: 6000 Milk yield per Lactation (Kg) 5000 x3 4000 x3 x3 3000 x3 2000 x2 y2 x2 1000 x1 x1 0 y1 Indigenous Crossbred Exotic Indigenous Crossbreds Synthetics Exotics Mixed rain fed Mixed rain fed Large-scale temperate/highlan humid/sub-humid commercial ranches d Xi = Yield gaps due to “animal husbandry practices” : 33 - 76 % Yi = Gap in productivity due to “genotype”: 18 - 74% Source: Mwacharo et al., 2009
  • 8. Low per capita milk consumption Per capita milk consumption in EAC countries (Kenya, 2009; Rwanda 2011, Tanzania 2010 amd Uganda 2009) 220 200 180 160 140 120 Per capita 100 WHO recommendation 80 60 40 20 0 Kenya Rwanda Tanzania Uganda
  • 9. Gap between investments in milk prodn., collection and processing capacity Gap between investments in milk prodn1. , collection and processing2 (1NBS , 2003 and 2TDB data 2012) 110000 105000 100000 95000 90000 85000 80000 75000 Volume of milk/day 70000 65000 60000 Marketable surplus milk /d (28% of wet season 55000 NBS-2003) 50000 Processing capacity (2012) 45000 40000 35000 Milk collection capacity (2012) 30000 25000 20000 Milk collected l/day (2012) 15000 10000 5000 0 Region
  • 10. Underutilisation of current milk collection capacity Region No. Of milk Milk collected Utilised % MCC collection units (l/d) capacity capacity (coolers) (l/d) utilisation Arusha 17 2,600 3,280 (-) Kilimanjaro 9 10,400 3,580 34 Mara 57 92,000 12,500 14 Kagera 3 (-) 150 (-) Mwanza 1 1,500 (-) (-) Tanga 42 95,900 40,734 42 Morogoro 9 19,300 6,266 32 Coast 8 5950 2998 50 Iringa 12 (-) 3,255 (-) Mbeya 26 17,238 19,874 115 184 (55) 243,478 94,137 38.7 source :TDB data 2012; ( - )=+ incomplete data
  • 11. Examples of promotion of industry vs. inclusiveness Industry approach Inclusiveness approach 1. Invest where there are 1. Target the poor likely to be high returns <$2/day 2. Go where there’s 2. Go to marginalised already some dairy areas development 3. Meet the small-scale producers in there 3. Promote capital current markets, that intensive approaches are often informal like chilling plants 4. Explore working with 4. Promote modern current assets of the breeds only poor, including traditional breeds
  • 12. DDF is in a good position to promote inclusiveness and complement specific projects Possible DDF roles 1. Promoting a more inclusive orientation in investments through strengthening of public-private partnerships 2. Promoting professionalization and best practices 3. Acting as a platform for information and knowledge sharing including: • as a national innovation platform to address systemic bottlenecks and co-create solutions • facilitating mentoring of milk-shed level dairy innovation platforms

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