jawoo koo 2016 workstream 1 - technology platform case studies (sep 30)

TECHNOLOGY PLATFORMResearch & Tools with SRO/National Partners

WORKSTREAM 1 UPDATE30 September 2016 / Washington, D.C.

JAWOO KOOIFPRI

What is the Technology Platform? TP is a data and analytics

partnership between IFPRI and partners for assessing the role of technology investments.

TP aims to strengthenself-assessment capacity in partner organizations to support technology adoption at sub-regional and national levels.

TECHNOLOGY PLATFORM

TP & IP: Purpose

TECHNOLOGY PLATFORM (TP) and INNOVATION PLATFORM (IP)

TP IP

Multi-stakeholder

collaboration

Informed investmentplanning &

policy making

Scaling-up adoption of innovations

TP & IP: Innovation


TP IP


Specific technology

& innovation

Suite of decision support tools &

data

TP & IP: Users


TP IP


VC actors:farmers, extension

Policy makers,analysts,

think tanks

Activities in 2016

OBJECTIVETo provide data and analytical research support for the Ministry of Agriculture in study countries to strengthen their technical self-assessment capacity for better targeting of agricultural technology investments toward the Malabo targets.

TECHNOLOGY PLATFORM

Activities in 20161. Desktop Study: IFPRI & Partners Baseline and Targets: Current yields of major crops

at subnational level and their recent trends Feasibility Assessment: Assessing potential yield

increases from known technologies and their economics at HH level

Adoption Target: Define the required level of technology adoption for the targets and compare the technology adoption assumptions with actual adoption data surveyed from case studies

TECHNOLOGY PLATFORM

Activities in 20162. Self-Assessment Support: Partners Technical partnership to establish engagement

with in-country technical capacity for the participatory review and country buy-in.

Facilitation of the self-assessment process and scoping for support demands

Alignment with other related technical support activities in region and country

TECHNOLOGY PLATFORM

ASARECA (Moses Odeke)Improved maize variety in Uganda1. Maize yield gap and trend analysis for Malabo target2. Identifying the maize intervention area (hotspot) in

Uganda (e.g., high potential, large gaps in yield and nutrition)

3. Profile a potential technology suitable for the hotspot area and assess current and target adoption levels

4. Ex-ante bioeconomic analyses for the technology’s potential contribution to the Malabo goal

5. Communicate preliminary analyses with Ministry of Agriculture, review/revise for further self-assessments with ASARECA

TECHNOLOGY PLATFORM: PILOT STUDIES

CORAF (Kodjo Kondo)Improved rice variety in Senegal1. Rice yield gap and trend analysis for Malabo target2. Identifying the rice intervention area (hotspot) in

Senegal (e.g., high potential, large yield gap)3. Profile a potential technology suitable for the

hotspot area and assess current and target adoption levels

4. Ex-ante bioeconomic analyses for the technology’s potential contribution to the Malabo goal

5. Communicate preliminary analyses with Ministry of Agriculture, review/revise for further self-assessments with CORAF


CCARDESA (Baitsi Podisi)Small ruminant technology in Namibia1. Small ruminant production trend analysis relevant

for Malabo target2. Identifying the small ruminant intervention area in

Namibia (e.g., high potential, large constraints)3. Profile a potential technology suitable for the

hotspot area and assess current and target adoption levels

4. Ex-ante bioeconomic analyses for the technologies’ potential contribution to the Malabo goal

5. Communicate preliminary analyses with Ministry of Agriculture, review/revise for further self-assessments with CCARDESA


Example: Yield Gap and Trend Analysis in Tanzania

Excel-based tool to analyze the sub-national crop yield trends and compute the required yield growth rates to meet the Malabo target

of doubling productivity by 2025.

Example: Quality Protein Maize Diffusion in DR Congo and Tanzania

201520102005

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

0

100

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SurveynameQPM - DRC

QPM - Tanzania

Example: Maize Yield Potential Assessments in Southern Highlands in Tanzania

S3: Agronomy

S1: N Fertilizer (kg[N]/ha) / S2: Improved Variety20

Local Hybrid

40Local Hybrid

Sub-optimum density,Sub-optimum window

Optimum density,Optimum window

S1: N Fertilize.. S2: Improve.. S3: Agronomy

0K 1K 2K 3K 4KYield (kg/ha)

0 Local Sub-optimum density, Sub-optimum windowOptimum density, Sub-optimum windowSub-optimum density, Optimum windowOptimum density, Optimum window

Hybrid Sub-optimum density, Sub-optimum windowOptimum density, Sub-optimum windowSub-optimum density, Optimum windowOptimum density, Optimum window





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Aggregated over time, area-weighted average across the maize growing areas in Songea. Red bars indicate average yields simulated as less than 3 t/ha.

Example: Fertilizer Profitability in East and Central Africa Countries

TECHNOLOGY PLATFORM: TIMELINE

Pilot Studies Timeline (Sep. 2016) Aug-Sep Technology and hotspots being identified Sep-Oct Yield gap/target analyses being developed Oct-Nov Technology profiles and adoption analyses.

(Data collection for adoption mapping to be carried out subject to secondary data availability)

Nov-Dec Engagement with Ministry of Agriculture Jan-Mar Technology Briefs to be developed Apr Outputs presented at the final workshop

The Beginning (2012-2013)

CAADP/Dublin Process

G8/New Alliance

AUC-CGIAR MoU

Three major initiatives called for a Platform to support scaling-up technology adoption

African Agricultural Technology Platform (Proposed, 2013-2014)

jawoo koo 2016 workstream 1 - technology platform case studies (sep 30)

Education