ethiopian livestock feed (elf) project: introducing techfit
TRANSCRIPT
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Ethiopian Livestock Feed (ELF) Project – introducing Techfit
By Alan Duncan, Inception meeting for the ‘Fodder and feed in livestock value chains in Ethiopia’ project
ILRI, Addis Ababa, 21-22 February 2012
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Techfit
The problem
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What is your main problem
Feed
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What feed technologies
have you got?Planted forage
Urea treated strawBypass protein
OK, let’s try those
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A solution
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TechfitA discussion support tool for
prioritizing feed technologies
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Key context attributes
Land
Labour
Credit
Input
Knowledge
Key technology attributes
Land
Labour
Credit
Input
Knowledge
The core concept
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Key context attributes
Land
Labour
Credit
Input
Knowledge
Key technology attributes
Land
Labour
Credit
Input
Knowledge
x = Score
Matching context to technology
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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
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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?
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Final output
Ideas for some promising feed interventions that might work
Better understanding of why the usual suspects often don’t work.