By Dr. Solomon Mengestu Addisu Abera Solomon Abeyi Fantahun Dereje May, 2012 EIAR

ByByDr. Solomon MengestuDr. Solomon MengestuAddisu AberaAddisu AberaSolomon AbeyiSolomon AbeyiFantahun DerejeFantahun Dereje

May, 2012May, 2012EIAREIAR

ByByDr. Solomon MengestuDr. Solomon MengestuAddisu AberaAddisu AberaSolomon AbeyiSolomon AbeyiFantahun DerejeFantahun Dereje

May, 2012May, 2012EIAREIAR

Application of TechFit for Prioritization of Feed Technologies in Application of TechFit for Prioritization of Feed Technologies in

Smallholder Beef Production SystemSmallholder Beef Production System

2

No. Variables Weredas

Adama Arsi Negele

Kechema Kuriftu Ali-Weyo Kersa-Ilala

1 Land size 2 ha 1.5 ha 2 ha 2 ha

2 House hold 6 6 7 10

3 Cropping Season 3 2 2 3

4 Irrigation no yes no No

5 Labour 50 46 50 45

6 Crops grown Tef, wheat, maize, barley, beans and peas

Tef, wheat, maize, barley, beans

Tef, wheat, maize, barley

Tef, wheat, maize, potato

7 Fodder crops Grown

Leucaena, Napier grass, Sesbania sesban

Napier grass, fodder beet, alfalfa and Sesbania sesban

vetch No

8 Livestock Cattle, sheep, goats, donkey and poultry

Cattle, sheep, goats, donkey, Horse and poultry

Cattle, sheep, goats, donkey, Horse and poultry

Cattle, sheep, goats, poultry donkey and

9 Source of Income 100% 100% 100% 100%9.1 Agriculture 47 74 44 25

9.2 Livestock 35 26 37 57

9.3 Labour 18 0 0 18

9.4 business 0 0 19 0

Overview of the production system Overview of the production system

Introduction

Adama and Arsi Negele Area

Feed scarcity is a major problem that limits animal productivity,

Improvement in livestock productivity can be achieved by alleviating feed constraints,

Issue• Farmers

– Feed a constraint– Intervention needed

• Researchers– Technology options– Basket of technologies available

The aim is to select the best bet feed technologies for particular site/selected villages of in Arsi and Adama Districts

What is Techfit?A tool used to prioritize of feed technologies at

site-levelTechFit is used to filter among the available

technologies and prioritize best bet technologies from the available ones

Involves combining scores of technology and context attributes to arrive at an overall score for how a technology is likely to fit a particular context.

The tool it is still under refinement, for more use

METHODOLOGY

Adama District Kechema Wonji Kuriftu Arsi Negele

District Ali Wayo Kersa Ilala

Both Districts located in the Rift Valley

METHODOLOGY

Adama Arsi Negele

Kachema Wonji Kuriftu Ali Weyo Kersa Ilala

Proximity to woreda capital Presence of Smallholder beef fattening activities

SitesSelected

Selection criteria

No. of Participants

Wereda

Adama Arsi Negele Total

Kechema Kuriftu Ali-Weyo Kersa-Ilala

Male 15 11 15 15 56Female 5 9 7 5 26

Total 20 20 22 20 82

Numbers of participants from all kebeles.

• Group discussion with farmers:

• Kechema 20 (15 men and 5 women)• kuriftu 20 (11 men and 9 women)• Aliweyo 22 (15 men and 7 women)• KersaIlala 20 (15 men and 5 women)

PRAExercisePRAExercise

• Scoring of the 5 tributes• Work with the farmers

Assessment of the 5 tributesAssessment of the 5 tributes

• Follow the steps given in the Techfit technology filtering excel sheet

• Ideas for Interventions select technologies based on score

Filtering of TechnologiesFiltering of Technologies

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Methodology of The TechFit Tool

• This preliminary study was conducted to score the context of farmers vis a vis land, labor, availability of cash, input delivery system, and skill of the farmer for technology adoption and demand of the technology for the above listed attributes.

Match farmers’ context to technologyScore for technology attribute

Score for context attribute

Land X Land =

Labor X Labor =

Credit X Credit =

Input X Input =

Knowledge X Knowledge =

If technology demands land => low score for landIf farmers do not have or very small land holding => Low score for land

• Potential technologies were filtered using farmers context and technology attribute scores

• Check list was used to collect information about the context attributes of farmers and the farmers gave scores to the context attributes

• The collected data were fitted to TechFit template to rank the technologies. Ref: Excel Sheet

• Feed technologies were evaluated based on 5 major attributes: land, labor, credit, input delivery system, and farmer skill.

III. TECHNOLOGY FILTER (Technology options to address quantity, quality, seasonality issues)

•Pre-filter available Technologies based on context relevance and impact potential

•Context relevance (score 1-6; low-high) X Impact potential (score 1-6; low-high) = Total score (context X impact)

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Results and discussion

TechFit-Beef Value ChainTechFit-Beef Value Chain

No Technology options Pre-select the obvious (5-6) based on context relevance and impact potential

Scope for improvement of attributes 1-5

Total Score Rank

Context relevance (score 1-6; low-high))

Impact potential (score 1-6; low-high)

Total score (context X impact)

Score 1-5 (1 for less and 5 for more)

A Improvements of crop residues

1 Machine chopping of residues

20 I

2 Hand chopping of residues

12IV

3 Generous feeding of CRs

18 II

4 Generous feeding of CRs

14 III

5 Feeding of home grown legume residues

11V

6 Feeding of bought in legume residues

Technology filter• Technology options to address feed problem (list

of technologies)After short listing first 3-4 technologies based on

the Rank, go for cost benefit analysis of the selected ones

• Pre-filter– Context relevance X Impact potential score

Cost benefit analysis

• What does the technology cost?

• What does the technology deliver?

• Is it worthwhile?

Description Technology 1 Technology 2 Technology 3 Technology 4

Cost

1

2

3

Total

Benefits

1

2

3

No technologies Total score (context X impact)

Scope for improvement of attributes

Total score

Rank

123456

No technologies Total score (context X impact)

Scope for improvement of attributes

Total score

Rank

123456

No technologies Total score (context X impact)

Scope for improvement of attributes

Total score

Rank

123456

Table 2 cont’d

No Technology options Pre-select the obvious (5-6) based on context relevance and impact potential

Scope for improvement of attributes 1-5

Total Score Rank

Context relevance (score 1-6; low-high))

Impact potential (score 1-6; low-high)

Total score (context X impact)

Score 1-5 (1 for less and 5 for more)

A Improvements of crop residues

1 Machine chopping of residues

20 I

2 Hand chopping of residues

12IV

3 Generous feeding of CRs

18 II

4 Generous feeding of CRs

14 III

5 Feeding of home grown legume residues

11V

6 Feeding of bought in legume residues

Final output

• Indentify promising feed technologies that are likely to work

• Better understanding of why and why not technologies work or do not work