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Legume Select – Ethiopia:
Review of Implemented Activities
Birhan Abdulkadir*, Tadesse Birhanu‡, Tamiru Meleta‡, Assefa Ta’a‡, and Kindu Mekonnen*
*International Livestock Research Institute (ILRI)
‡Oromia Agricultural Research Institute (IQQO)
Legume SELECT in Ethiopia
• Targeted geographies
Digga Sinana
Distance from
AA (km)
352 460
Altitude (m) 1200 to 2100 2400
Rainfall
pattern
Mono-modal Bi-modal
Rainfall (mm) 850 843
Temp. mean
(oC)
22 18
Main farming
system
Maize, teff, finger
millet based crop-
livestock
Wheat, faba
bean, based
crop-livestock
mixed
Major Implemented Activities
WP1. ‘Big Data’ and Tool Development
– WP1.1: focuses, brings together and creates an accessible database
on legume productivity, quality and use across SSA
– WP1.2: builds on and further develops the existing prototype
LegumeCHOICE decision support framework into a robust tool based
on reliable data
WP2. Validation of benefits for legume niches
– WP2.1: Characterization of soil properties, root traits and BNF
potential of legume classes
– WP2.2: To establish quantitative importance and mechanisms of
legume contributions to soil C and N stocks and nutrient supply.
– WP 2.3: To quantify BNF, nutrient- and water-use efficiency in a range
of legume-based systems to determine the robustness of trait-soil-
management relationships
WP3. Moving into practice at scale
– WP 3.1: Modeling, forecasting, targeting, and scenario testing
– WP 3.2: Partner engagement, capacity development and scaling
Legume SELECT WP
WP1 ‘Big Data’ and Tool Development
• WP1.1 focuses, brings together and creates an accessible database on
legume productivity, quality and use across SSA
• WP1.2 builds on and further develops the existing LegumeCHOICE
prototype decision support framework into a robust tool based on reliable
data
WP 1.1
– Baseline RHoMIS Eth
WP 1.2
– Apply LC Tool in Ethiopia
WP 1.1. RHoMIS Survey
• Enumerators training to be held this weekend
• Enumerators from the research centers selected
• Local information collected
• List of HHs
• Survey – in a month
• Sample size: 400HH (100 HH per kebele x 4 kebeles)
WP 1.2. Legume CHOICE Tool Application
• Information obtained from FGD and Legume CHOICE tool
application:
– Major legumes produced and their functions in the implementing sites were
identified
✓ Pairwise ranking of legume functions was done separately for men and women farmers at
both site
✓ Participatory matrix scoring was also done separately for men and women as well as the
three farm typologies at both sites
– Major legume production constraints at both sites were also identified
LC tool: Summary of Achieved Results
Qualitative DiagnosisMajor Legumes Produced
N= 29, Jirata
N= 20, Arjo Q/bulaa
Qualitative Diagnosis
Legume name Percentage (%)
Faba Bean 85
Field Pea 87.5
Chickpea 15
Lentil 85
Grass pea 5
Climbing bean (annual type) 20
Fenugreek 30
Common bean (bush type) 17.5
Rosa abyssinica (Lindley Rosaceae) 52.5
Calpurnia aurea (Alit.) Benth 30
Erythrin brucei Schweinf 27.5
Acacia abyssinica 12.5
Aman Laman- Sinana
N= 40
Major Legumes Produced
***Unique approaches?: selected
>40 farmers for FGD, 18 used for
actual Participatory Matrix Scoring
data collection
Legume Functions Qualitative Diagnosis
Arjo Q/Bula-Digga
Legume Functions Qualitative Diagnosis
Sinana
Legume Functions Pair-wise Scoring - Digga
Legume Functions Pair-wise Scoring - Sinana
0
1
2
3
4
food
feed
income
erosion control
fuel
soil fertility
Aman Laman - women
0
1
2
3
4
5
food
feed
income
erosion control
fuel
soil fertility
Aman Laman - men
Legume Functions Participatory matrix Scoring Digga and Sinana
Legume Production Constraints Qualitative Diagnosis
Legume Production Constraints Context scoring
Legume Production Constraints Context scoring
***Contributed for the development of latest version of the LegumeCHOICE tool user guide V2.2.1 (July 2019)
Sinana (Aman Laman kebele)
Sinana (Shallo kebele)
WP2. Validation of benefits for legume niches
• WP2.1: Characterization of soil properties, root traits and BNF potential of
legume classes
• WP2.2: To establish quantitative importance and mechanisms of legume
contributions to soil C and N stocks and nutrient supply.
• WP 2.3: To quantify BNF, nutrient- and water-use efficiency in a range of
legume-based systems to determine the robustness of trait-soil-management
relationships
WP2.1 + 2.2
Get export permits for soils, seeds;& biomasses; then ship materials
WP 2.3
Farm Trial sampling (Soil, vegetative samplings)
WP 2.1 + 2.2: Get export permits for samples
(Documents for Faba bean Seed Export)
WP 2.3 On-farm trials (DT & NT)
• Based on the results of:
✓ FGD (Qualitative Diagnosis), and
✓ Legume Options Score section of Legume CHOICE tool,
• Mostly annual legume crops from different legume types were selected for
their fit to legume functions and agro-ecologies, for quick intervention
(demonstrations) activities both at Sinana and Digga Districts.
WP 2.3 On-farm trials
WP 2.3 On-farm trials
Demonstration/
Legume Type
Implementation Site Number of Farmers Number/Type of varieties/Fert./Inoculums
Digga Sinana Digga Sinana Digga Sinana
Annual Climbing bean X - 2 - 1 -
Bush Common bean X - 3 - 4 -
Soybean X - 3 - 3 -
Groundnut X - 3 - 3 -
Field pea X X 3 6 3 2
Faba bean - X - 6 - 2
Leucaena leucocephala X - - 3500 seedlings
Fertilizers X X - NPS all crops NPS
Inoculums X - - - Except Annual Climbing Bean -
• Tree seedlings: targeting
women farmers
– Feed
– Soil fertility improvement
– Erosion control
– Feul
WP 2.3 On-farm trials
Protocols for sampling of soils and plant material to explore contributions of legumes to
soil fertility on trial and non-trial farms (WP2.1 & WP2.3)
Customization of data collection tools
harvesting, soil samples, oven dry…
Plant and weed samples collection…..
Soil samples….
Country Ethiopia
Implementation Sites/ Woreda Digga Digga Sinana Sinana
Village/ Kebele Arjo Qonan Bula Jirata Aman Laman Shallo
Number of fields sampled 6 (6DT) 5 (5DT) 6 (4DT+2NT) 6 (3DT+3NT)
Legumes sampled
➢ Soybean,
➢ Common bean (bush
types)
➢ Groundnut
➢ Field pea,
➢ Common bean
(climbing type)
➢ Faba bean
➢ Field pea
➢ Faba bean
➢ Field pea
Weed spp sampled
• Alternanthera pungens;
• Centella asiatica L.;
• Ageratum conyzoides L;
• Bidens pilosa L Conyza
canadensis L.;
• Guizotia scabra (vis.) chiov;
• Conyza canadensis L.
• Guizotia scabra (vis.)
chiov;
• Snowdenia polystachya
(Fresen.);
• Bidens patchloma L.
• Ageratum conyzoides L.
• Galinsoga parviflora
Cav.;
• Guizotia scabra;
• Erucastrum arabica;
• Galinsoga parviflora
• Bromus pectinatus;
• Chenopodium spp
• Galium Spurium
• Guizotia scabra;
• Chenopodium spp;
• Bromus pectinatus
• Plantago Lanceolata
• Galinsoga parviflora
• Chenopodium spp
Soil sampled 6+6 5+5 6+6 6+6
Data Inventory….
WP3 Moving into practice at scale
• WP 3.1: Modeling, forecasting, targeting, and scenario testing
• WP 3.2: Partner engagement, capacity development and scaling
WP 3.2
– Summarize agricultural plans Eth
– Stakeholder Mapping Eth
– Scaling
WP 3.2: Partner engagement, capacity
development and scaling
• Multiple discussions with local partners:
– IQQO HQ and research Centers
– Woreda and kebele levels (Admins, Experts, DAs)
On-spot trainings and discussions
• Capacitate DAs on:
– data collection
– Handling of samples,
– identification of weeds
Mini-farmers field day at Sinana (Nov 2019)
41 participant (34 Farmers, 3 DAs, 4 researcher) Faba bean planted with inputs (NPS)
LegumeSELECT Poster presentation at ILRI
IPM (17-19 Sep 2019)
Challenges
• Unrest in Western Ethiopia and (South-eastern Ethiopia)
• Extended bureaucracy and lack of documents for faba bean
export
• Budget disbursement delays between ILRI & IQQO (DD request)
• Lengthy financial channels within IQQO
• Scarcity of ovens (Equipment/Material capacity building?)
Way Forwards
• Undertake: [scope of the work]
– Assessment of Agricultural Plans in relation to legumes in Ethiopia
– Stakeholder mapping in relation to legumes in Ethiopia
• Facilitate export of faba bean seeds; soil & vegetative samples
• Training on Legume production and management practices to farmers
and stakeholders
• Site level planning meetings
Timeline (ways traveled)
CRA
between
ILRI and
IQQO
(signed
on July
2019)
Applied LC
tool at
Digga (July
2019)
Discussions
with IQQO
and Woreda
admin &
experts
(July-Aug
2019)
Applied LC
tool at
Sinana
(August
2019)
On-farm trial
establishmen
ts (July at
Digga,
September at
Sinana)
First
budget
installme
nt
reached
at IQQO
(1st Oct
2019)
MTA,
phytosanitary
certificates (July
2019, …)
Vegetative &
soil samples
collections
(July-Dec
2019)
Sample
processing
(Dec 2019.)
Meeting
organizati
on
(Jan
2020)
Thank You

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Legume Select–Ethiopia: Review of implemented activities

  • 1. Legume Select – Ethiopia: Review of Implemented Activities Birhan Abdulkadir*, Tadesse Birhanu‡, Tamiru Meleta‡, Assefa Ta’a‡, and Kindu Mekonnen* *International Livestock Research Institute (ILRI) ‡Oromia Agricultural Research Institute (IQQO)
  • 2. Legume SELECT in Ethiopia • Targeted geographies Digga Sinana Distance from AA (km) 352 460 Altitude (m) 1200 to 2100 2400 Rainfall pattern Mono-modal Bi-modal Rainfall (mm) 850 843 Temp. mean (oC) 22 18 Main farming system Maize, teff, finger millet based crop- livestock Wheat, faba bean, based crop-livestock mixed
  • 4. WP1. ‘Big Data’ and Tool Development – WP1.1: focuses, brings together and creates an accessible database on legume productivity, quality and use across SSA – WP1.2: builds on and further develops the existing prototype LegumeCHOICE decision support framework into a robust tool based on reliable data WP2. Validation of benefits for legume niches – WP2.1: Characterization of soil properties, root traits and BNF potential of legume classes – WP2.2: To establish quantitative importance and mechanisms of legume contributions to soil C and N stocks and nutrient supply. – WP 2.3: To quantify BNF, nutrient- and water-use efficiency in a range of legume-based systems to determine the robustness of trait-soil- management relationships WP3. Moving into practice at scale – WP 3.1: Modeling, forecasting, targeting, and scenario testing – WP 3.2: Partner engagement, capacity development and scaling Legume SELECT WP
  • 5. WP1 ‘Big Data’ and Tool Development • WP1.1 focuses, brings together and creates an accessible database on legume productivity, quality and use across SSA • WP1.2 builds on and further develops the existing LegumeCHOICE prototype decision support framework into a robust tool based on reliable data WP 1.1 – Baseline RHoMIS Eth WP 1.2 – Apply LC Tool in Ethiopia
  • 6. WP 1.1. RHoMIS Survey • Enumerators training to be held this weekend • Enumerators from the research centers selected • Local information collected • List of HHs • Survey – in a month • Sample size: 400HH (100 HH per kebele x 4 kebeles)
  • 7. WP 1.2. Legume CHOICE Tool Application • Information obtained from FGD and Legume CHOICE tool application: – Major legumes produced and their functions in the implementing sites were identified ✓ Pairwise ranking of legume functions was done separately for men and women farmers at both site ✓ Participatory matrix scoring was also done separately for men and women as well as the three farm typologies at both sites – Major legume production constraints at both sites were also identified
  • 8. LC tool: Summary of Achieved Results Qualitative DiagnosisMajor Legumes Produced N= 29, Jirata N= 20, Arjo Q/bulaa
  • 9. Qualitative Diagnosis Legume name Percentage (%) Faba Bean 85 Field Pea 87.5 Chickpea 15 Lentil 85 Grass pea 5 Climbing bean (annual type) 20 Fenugreek 30 Common bean (bush type) 17.5 Rosa abyssinica (Lindley Rosaceae) 52.5 Calpurnia aurea (Alit.) Benth 30 Erythrin brucei Schweinf 27.5 Acacia abyssinica 12.5 Aman Laman- Sinana N= 40 Major Legumes Produced ***Unique approaches?: selected >40 farmers for FGD, 18 used for actual Participatory Matrix Scoring data collection
  • 10. Legume Functions Qualitative Diagnosis Arjo Q/Bula-Digga
  • 11. Legume Functions Qualitative Diagnosis Sinana
  • 12. Legume Functions Pair-wise Scoring - Digga
  • 13. Legume Functions Pair-wise Scoring - Sinana 0 1 2 3 4 food feed income erosion control fuel soil fertility Aman Laman - women 0 1 2 3 4 5 food feed income erosion control fuel soil fertility Aman Laman - men
  • 14. Legume Functions Participatory matrix Scoring Digga and Sinana
  • 15. Legume Production Constraints Qualitative Diagnosis
  • 16. Legume Production Constraints Context scoring
  • 17. Legume Production Constraints Context scoring ***Contributed for the development of latest version of the LegumeCHOICE tool user guide V2.2.1 (July 2019)
  • 18. Sinana (Aman Laman kebele) Sinana (Shallo kebele)
  • 19. WP2. Validation of benefits for legume niches • WP2.1: Characterization of soil properties, root traits and BNF potential of legume classes • WP2.2: To establish quantitative importance and mechanisms of legume contributions to soil C and N stocks and nutrient supply. • WP 2.3: To quantify BNF, nutrient- and water-use efficiency in a range of legume-based systems to determine the robustness of trait-soil-management relationships WP2.1 + 2.2 Get export permits for soils, seeds;& biomasses; then ship materials WP 2.3 Farm Trial sampling (Soil, vegetative samplings)
  • 20. WP 2.1 + 2.2: Get export permits for samples (Documents for Faba bean Seed Export)
  • 21. WP 2.3 On-farm trials (DT & NT) • Based on the results of: ✓ FGD (Qualitative Diagnosis), and ✓ Legume Options Score section of Legume CHOICE tool, • Mostly annual legume crops from different legume types were selected for their fit to legume functions and agro-ecologies, for quick intervention (demonstrations) activities both at Sinana and Digga Districts.
  • 22. WP 2.3 On-farm trials
  • 23. WP 2.3 On-farm trials Demonstration/ Legume Type Implementation Site Number of Farmers Number/Type of varieties/Fert./Inoculums Digga Sinana Digga Sinana Digga Sinana Annual Climbing bean X - 2 - 1 - Bush Common bean X - 3 - 4 - Soybean X - 3 - 3 - Groundnut X - 3 - 3 - Field pea X X 3 6 3 2 Faba bean - X - 6 - 2 Leucaena leucocephala X - - 3500 seedlings Fertilizers X X - NPS all crops NPS Inoculums X - - - Except Annual Climbing Bean -
  • 24.
  • 25.
  • 26. • Tree seedlings: targeting women farmers – Feed – Soil fertility improvement – Erosion control – Feul
  • 27. WP 2.3 On-farm trials Protocols for sampling of soils and plant material to explore contributions of legumes to soil fertility on trial and non-trial farms (WP2.1 & WP2.3)
  • 28. Customization of data collection tools
  • 30. Plant and weed samples collection…..
  • 32. Country Ethiopia Implementation Sites/ Woreda Digga Digga Sinana Sinana Village/ Kebele Arjo Qonan Bula Jirata Aman Laman Shallo Number of fields sampled 6 (6DT) 5 (5DT) 6 (4DT+2NT) 6 (3DT+3NT) Legumes sampled ➢ Soybean, ➢ Common bean (bush types) ➢ Groundnut ➢ Field pea, ➢ Common bean (climbing type) ➢ Faba bean ➢ Field pea ➢ Faba bean ➢ Field pea Weed spp sampled • Alternanthera pungens; • Centella asiatica L.; • Ageratum conyzoides L; • Bidens pilosa L Conyza canadensis L.; • Guizotia scabra (vis.) chiov; • Conyza canadensis L. • Guizotia scabra (vis.) chiov; • Snowdenia polystachya (Fresen.); • Bidens patchloma L. • Ageratum conyzoides L. • Galinsoga parviflora Cav.; • Guizotia scabra; • Erucastrum arabica; • Galinsoga parviflora • Bromus pectinatus; • Chenopodium spp • Galium Spurium • Guizotia scabra; • Chenopodium spp; • Bromus pectinatus • Plantago Lanceolata • Galinsoga parviflora • Chenopodium spp Soil sampled 6+6 5+5 6+6 6+6 Data Inventory….
  • 33. WP3 Moving into practice at scale • WP 3.1: Modeling, forecasting, targeting, and scenario testing • WP 3.2: Partner engagement, capacity development and scaling WP 3.2 – Summarize agricultural plans Eth – Stakeholder Mapping Eth – Scaling
  • 34. WP 3.2: Partner engagement, capacity development and scaling • Multiple discussions with local partners: – IQQO HQ and research Centers – Woreda and kebele levels (Admins, Experts, DAs)
  • 35. On-spot trainings and discussions • Capacitate DAs on: – data collection – Handling of samples, – identification of weeds
  • 36. Mini-farmers field day at Sinana (Nov 2019) 41 participant (34 Farmers, 3 DAs, 4 researcher) Faba bean planted with inputs (NPS)
  • 37. LegumeSELECT Poster presentation at ILRI IPM (17-19 Sep 2019)
  • 38. Challenges • Unrest in Western Ethiopia and (South-eastern Ethiopia) • Extended bureaucracy and lack of documents for faba bean export • Budget disbursement delays between ILRI & IQQO (DD request) • Lengthy financial channels within IQQO • Scarcity of ovens (Equipment/Material capacity building?)
  • 39. Way Forwards • Undertake: [scope of the work] – Assessment of Agricultural Plans in relation to legumes in Ethiopia – Stakeholder mapping in relation to legumes in Ethiopia • Facilitate export of faba bean seeds; soil & vegetative samples • Training on Legume production and management practices to farmers and stakeholders • Site level planning meetings
  • 40. Timeline (ways traveled) CRA between ILRI and IQQO (signed on July 2019) Applied LC tool at Digga (July 2019) Discussions with IQQO and Woreda admin & experts (July-Aug 2019) Applied LC tool at Sinana (August 2019) On-farm trial establishmen ts (July at Digga, September at Sinana) First budget installme nt reached at IQQO (1st Oct 2019) MTA, phytosanitary certificates (July 2019, …) Vegetative & soil samples collections (July-Dec 2019) Sample processing (Dec 2019.) Meeting organizati on (Jan 2020)