Ethiopian Livestock Feed Project – approaches, tools, results
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Transcript of Ethiopian Livestock Feed Project – approaches, tools, results
Ethiopian Livestock Feed Project – Approaches, Tools, Results
Alan Duncan
Ethiopian Livestock Feed Project Synthesis workshop, Addis Ababa, 28-29 May 2012
Objectives
Original: To develop a preliminary understanding of how feed components of intensifying livestock production systems in Ethiopia are changing as systems intensify and how this is reflected in the feed-related elements of focal value chains
Evolving: To develop refined tools for rapid assessment of feed resources to allow effective feed intervention strategies to support intensification of livestock production in value chains benefiting smallholder producers.
Outputs Refined tools for feed resource assessment, value chain
analysis, rapid market appraisal and feed technology prioritization
Targeted value chain assessment of feed elements of dairy, beef and sheep value chains
Data base of price, quality and volume data on a seasonal basis for key feeds associated with the target value chains.
Synthesis of experiences with successful small ruminant feeding strategies from elsewhere and their local applicability
Assessment of feed availability and demand for small ruminant production in Menz area*
Synthesis workshop
EIAR/ARARI Researchers
Adugna Tolera
Bill Thorpe/ Jane Wamatu
Amare Haileslassie/Michael
Blummel
Workshop objectives
Review and refine the experience of using VCA, FEAST and Techfit tools and draw lessons for their improvement
Think about application of the tools in wider contexts
Anticipated links to other initiatives
CGIAR Research Programme 3.7, More milk, meat and fish, for and by the poor which involves targeted research on the small ruminant value chain in Ethiopia.
Gates-funded East Africa Dairy Development Project (Phase 2)
Multi-donor funded Agricultural Growth Programme for Ethiopia
CIDA-funded Livestock Value Chain Enhancement (LIVES) project
Which tools?
Value chain analysis (VCA)Feed assessment tool (FEAST)Feed technology prioritization
(Techfit)
Process vs output
Tools are designed as “discussion tools”
No recipes or blue prints. Only a way of guiding and informing enquiry and suggesting options
Use of tools needs to involve a range of actors: research, development, private sector, NGO etc
Menz
Sheep
Dairy
Beef
Value chain assessment
Inputs & services Production Processing Marketing Consumers
FEAST
The problem
Feed assessment
Conventionally focuses on:– The feeds– Their nutritive value– Ways of improving nutritive value
FEAST broadens assessment:– Is livestock an important livelihood strategy? – How important are feed problems relative to
other problems?– What about labour, input availability, credit,
seasonality, markets for products etc.?– Involves dialogue with farmers
How does FEAST work?
Sample output
32%
22%
20%
14%
6%
6%
Contribution of livelihood activities to household income (as a percentage)
Agriculture
Livestock
Remmitance
Labour
Others
Business
More sample output
Crop residues5%
Cultivated fodder
25%
Grazing30%
Naturally occurring and
collected33%
Purchased7%
DM content of total diet
Final output
Feast report with some ideas for key problems and solutions
Better links and understanding between farmers, research and development staff
Techfit
The problem
What is your main problem
Feed
What feed technologies
have you got?Planted forage
Urea treated strawBypass protein
OK, let’s try those
A solution
TechfitA discussion support tool for
prioritizing feed technologies
Key context attributes
Land
Labour
Credit
Input
Knowledge
Key technology attributes
Land
Labour
Credit
Input
Knowledge
The core concept
Key context attributes
Land
Labour
Credit
Input
Knowledge
Key technology attributes
Land
Labour
Credit
Input
Knowledge
x = Score
Matching context to technology
Technology filter
Scope for improvement of attribute
s
Context relevance (score 1-
6; low-high))
Impact potential (score 1-6; low-high)
Total score
(context X impact)
Requ Score 1-3
(1 for more; 3 for less)
Avail Score 1-3
(1 for less; 3 for
more)
Requ Score 1-3
(1 for more; 3 for less)
Avail Score 1-3
(1 for less; 3 for
more)
Requ Score 1-3
(1 for high;
3 for low)
Avail Score 1-3
(1 for less; 3 for
more)
Requ Score 1-3
(1 for high;
3 for low)
Avail Score 1-3
(1 for less; 3 for
more)
Requ Score 1-3
(1 for high;
3 for low)
Avail Score 1-3
(1 for less; 3 for
more)
Score 1-5 (1 for
less and 5 for
more)
Urea treatment of straw
2 3 6 3 2 2 2 2 0
Supplement with UMMB
2 5 10 3 3 3 2 1 1 1 1 3 1 2 22
By-pass protein feed
1 3 3 3 3 1 1 3 0
Feed conservation (surplus) (HAY)
4 3 12 3 3 2 2 3 3 3 3 3 3 1 41
etcetc
III.
TECHNOLOGY FILTER
(Technology options to
address quantity, quality,
seasonality issues)
Pre-select the obvious (5-6) based
on context relevance and impact potential
Score the pre-selected technologies based on the requirement, availability and scope for improvement of five technology attributes
Attribute 1: Land
Attribute 2: Labour
Attribute 3: Cash /credit
Attribute 4: Input delivery
Attribute 5: Knowledge
/skill
Total Score
Technology list
Pre-filter Main filte
rScore
Cost-benefit assessment
What does the technology cost?– Inputs, labour, land etc?
What does the technology deliver?– Enhanced milk yield, improved reproductive
performance, better growth etc
Does it make sense?
Adugna price/quality dataset helps here
Final output
Ideas for some promising feed interventions that might work
Better understanding of why the usual suspects often don’t work.
Fitting the tools together
VCAVCA
Framework: is productivity the main issue?
yes no
FEASTFEAST
Homing in: is feed the main issue?
yes no
TechfitTechfit optionsparticipatory
testing
Current
effort
Needed effort
“If you do what you’ve always done, you’ll get what you
always got.” Mark Twain
Key messages
More Information: http://elfproject.wikispaces.com
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