Research Prioritization, IDOs, and the Post-2015 Sustainable Development Agenda - Achim Dobermann
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Transcript of Research Prioritization, IDOs, and the Post-2015 Sustainable Development Agenda - Achim Dobermann
Achim Dobermann
Research Prioritization, IDOs, and the Post-2015 Sustainable
Development Agenda
Jharkhand, Eastern India, September 2013
Mandu, Jharkhand, 8 September 2013
A product that meets a clear demand.
• IR74371-70-1-1 (parents: 1 IRRI, 1 TV)• Cross made in 1997: target was upland rice• Succession of projects and IRRI breeders (3)• 1 key NARS (CRURRS) + drought network partners• Official release in 2009 in JH and OR for RL• Spreading rapidly in many states through local
partners + IRRI: seed + agronomy• Funds: CGIAR core, GCP, Cirad, BMZ, IFAD, BMGF,
government, state, ….• Released and spreading in Bangladesh and Nepal
(e.g., USAID-FtF, BMGF)• Shared with many other countries and companies
“Rice developed through collaboration”
VARIETY DEVELOPMENT PIPELINES
TRAIT DISCOVERY
GENE DISCOVERY
MARKER APPLICATIONS
Traits
QTLs, Genes, DNA-sequencesDNA-markers, marker applications
Product profiles - trait packages Varieties, Variety portfoliosBreeding lines, Parental linesBreeder / Foundation seeds
TRAIT D
EVELOPM
ENT
E. Nissilae, IRRI
Key questions for us
What needs to be done?
How are we going to do it?
How much does it cost?
Where can we find the money?
How can we track it and adjust?
Strategic assessment of research priorities for IRRI in Asia, 2010-2013
• Does IRRI’s greatest potential to benefit the poor– rest in irrigated or rainfed environments?
– arise in South Asia or Southeast Asia?
– stem from genetic improvement or enhanced management?
– result from upstream science or downstream adaptation and delivery?
• Approach: compile and integrate state of the art understanding, data and tools to evaluate 63 potential technology solutions (IRRI role)
D. Raitzer, IRRI
Approach1. Background
analysis (baseline scenarios, etc.)
2. Analysis of data on problem prevalence
3. Characterization of scientific solutions
(assumptions, timeframes,
effectiveness)
4. Estimation of outcomes and effects
at scale (adoption, productivity, supply)
5. Partial equilibrium modeling
Output: Expected impacts
quantified
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Bangladesh
China
India
Laos
Myanmar
Malaysia
Nepal
Pakistan
Vietnam
South Korea
North Korea
East Timor
Taiwan
Sri Lanka
Thailand
Cambodia
Bhutan
Philippines
Japan
Indonesia
Asia
1 - IR 2 - IR / other 3 - IR / IR 4 - IR / IR / other 5 - RF 6 - RF / RF 7 - RF / RF other 8 - RF Dry/Upland
New rice agro-ecologies for Asia (ca. 2005)
Projected change in harvested area 2012-2035 (ARIMA, proportion)
D. Raitzer, IRRI
Example of constraint characterization output – average area affected by flooding (proportion harvested area)
D. Raitzer, IRRI
Example of constraint characterization process - biotic
Detailed loss surveys of 456 farms in 6
Production Situations
RICEPEST and Epirice modeling
Data collected by 3000 Indonesian staff for 22 years on rice damage, reconciled
to AEs
Expert knowledge
Results of on farm experiments in 6
Production Situations
Estimates
Stage 4: Modeling - logistic diffusion
Adoption over time is modeled against a symmetric logistic diffusion curve by solving for the inflection point using provided points on the curve by season/ecology/subregion
International research attributable adoption identified via difference between adoption curve and delayed availability
Overall results
• Gains do not exceed yield gaps
– Total increases in Asian rice production by 2035 due to the 63 technologies analyzed: 6.4% – 10%
– Total increases in Asian rice production by 2035 attributable to international research: 4.0% – 6.3%
• Gains consistent with research contributions assessed historically in Asia.
• Includes R&D pipeline at various stages, from basic research to ready to use products.
D. Raitzer, IRRI
Aggregate impact potential (2005 PPP$, discounted at 5%), low attributable scenario 2013-2035
Results by ecology & subregion – total benefits (2005 PPP$ billions)
Results by ecology & subregion – benefits to the PPP$2 poor (2005 PPP$ billions)
Potential international research impacts from 2013 to 2035 – ‘constant’ elasticity with positive shutdown price in “low” scenario (values in billions of discounted [5%] 2005 PPP$, DALYs in millions)
Host plant resistance
Abiotic stress tolerance Inbred yield C4 rice
Hybrid rice
Other traits Management Mechanization
Total
3.35
10.92 8.27
2.11
2.28
2.22
7.43
4.14
Consumers
1.31
4.53 3.54
0.85
1.01
0.97
2.79
3.22
Producers
1.84
5.58 4.00
1.07
1.03
1.30
3.72
4.75
Hired labor
0.19
0.76 0.70
0.18
0.23
(0.08)
(0.26)
(3.87)
Poor consumers
0.37
1.60 1.03
0.22
0.35
0.26
0.84
0.93
Poor producers
0.43
1.82 1.06
0.25
0.32
0.31
0.85
0.67
Poor hired labor
0.10
0.49 0.35
0.09
0.12
(0.04)
(0.15)
(1.81)
Total poor (PPP2/day)
0.90
3.90 2.44
0.57
0.79
0.53
1.54
(0.21)
DALYs reduced
0.51
2.33 1.98
0.51
0.71
0.49
1.22
1.33
GHG & water
0.01
0.04 0.03
0.01
0.01
0.02
1.17
0.04
Germplasm Management related
Major individual international rice research solutions (“low” scenario, positive shutdown price, 2013-2035 surplus effects in million
2005 PPP$ discounted [5%])
Total benefits
Total benefits to 1.25 poor (including
labor)
Total benefits to 2 poor (including
labor)
DALYs reduced
GHG & water
Varieties with increased attainable yield 5,393
652.0
1,678.4
1.4
21.0
Inbred yield potential 2,874 283.8 760.4 0.6 7.3 Submergence tolerant varieties 2,326 363.6 812.3 0.5 8.1 Hybrid yield potential 2,281 317.7 789.2 0.7 5.6
Introgression of drought QTLs 2,223
472.8
1,034.2
0.6
8.6
Site-specific nutrient mgt. (NPK) 2,227 216.7 556.0 0.3 13.1 C4 rice 2,112 213.7 569.9 0.5 7.5 Salt tolerant varieties for coastal areas
1,946
299.9
662.2
0.4
4.0
Water-saving irrigation (AWD) 1,469 71.4 158.9 0.1 1,040.0
D. Raitzer, IRRI
Results by upstream/downstream
What can we use it for?
• Transparent, documented methodology and data: baseline for subsequent assessments (ex, post)
• Easy to update and tailor to various applications: scenarios, hypotheses,…
• Internalizes impact thinking and culture• Discover what we know, and what we don’t know:
guidance for filling critical data gaps• Guidance for research priorities and fundraising:
exposes many trade-offs
How should the CGIAR spend its money?
CRP CRP TitleActual unpsent carried forward
from 2012
Expected new W1 for 2013
Expected W2 for 2013
90% OF 2012 expenditure
Proposed W/W2
allocation
1.1 Drylands Systems 0.9 6.4 8.2 15.5 15.51.2 Humid tropics 0.2 8.5 5.0 13.5 13.71.3 AAS 4.1 1.9 8.7 7.8 14.7
2 PIM 11.7 7.8 12.9 17.8 32.43.1 WHEAT 1.6 5.3 4.8 10.9 11.73.2 MAIZE 4.7 9.7 4.2 14.0 18.63.3 GRiSP 0 25.8 6.1 31.9 31.93.4 RTB 11.3 9.8 12.8 20.1 33.93.5 Grain legumes 2.6 11.2 9.3 23.1 23.13.6 Dryland cereals 2 6.2 3.4 9.9 11.63.7 Livestock and fish 7.5 0.0 15.2 7.4 22.7
4 A4NH 8.1 5.0 16.2 11.4 29.3
5 WLE 6.7 8.3 10.2 21.9 25.2
6Forests, Trees & Agroforestry 0.2 19.7 6.6 26.3 26.5
7 CCAFS 4.9 32.8 4.0 36.8 41.7Gene banks 2.6 8.6 2.2 10.8 13.4
Total CRP 69 167 130 279 366
Can this be done in the CGIAR?
• Robust methodology for a new SRF and the whole CGIAR portfolio?
• Robust methodology for all CRPs?• What adaptations would be needed? Who will do
it?• Monitoring mechanisms?
1 Genetic Resources
2 New Varieties
3 Production Systems
5 Targeting & Policy
6 Regional Delivery
Global and Regional R&D Product Lines
2.1. Informatics and MET
2.2. Improved traits
2.3. Stress-tol. rice
2.4. HY irrigated rice
2.5. Hybrid rice
2.6. Healthier rice
Activities ProductsMilestones
Regional/National Initiatives- System solutions- Public & private partners
Outcomes
( Regional)
for target regions
Impact
4 New Products & Value Chains
GRiSP R&D Themes
Partners
Prod
uct d
eman
d
Product demand
• 5-yr work and business plan: 2011-2015• Interdisciplinary, product-oriented R&D: 94 R&D Products
clustered in 26 Product lines under 6 Themes• New frontiers research projects• Capacity building & gender
15-20% 25-30% 20-30% 5-10% 5-10% 10%
GRiSP Themes, Product Lines & Products
The Timeline for C4 Rice
Genediscovery
andmolecular toolbox
development
Characterize regulatory
controls
Transform rice to
express Kranz
anatomy and the C4 metabolic enzymes
Optimize C4
function in transgenic
rice
Breed C4 transgenics into local varieties
3 years
3 years
5 years
4 years
Theme 1 ----- Theme 2, 3,4 -------------------------- Theme 5 Theme 6
Genes, varieties, management technologies, information gateway, models, data, tools, capacity, etc
Products locally adapted and promoted by public, NGO, and private sector
Products adopted by farmers, value chain actors, policy makers, other stakeholders
Increased nutritious rice production
Stable and affordable price of rice
Increased resource use efficiency
Rural Poverty
Nutrition and health
Food Security
Sustainability
Products Intermediate Development Outcomes Impact
Development partnershipsScience partnerships
Timeline
Farmers: 1000s 10.000s 100.000s millions
GRiSP
CGIAR SLOs
Schematic impact pathway
Product
Pilot site farmer adopters, and benefits seen
Large scale dissemination
Large numbers of farmers adopt
Increased productivity
SLO (food security, poverty, sustainability, H&N)
Collaborative partner adopters, and benefits seen
GRiSP
“Outside”
Research outcome – Intermediate and end user
Intermediate development Outcome (IDO)
5->10 years
3-6 years
6-9 years
9-12 years
>> 12 years
100s
1000s
100,000s
1,000,000s
Farmers
GRiSP Theme 1Genetic Diversity
GRiSP Theme 2Breeding
GRiSP Theme 5Policy and Impact
GRiSP Theme 6Capacity and Delivery
GRiSP Theme 4Value adding
GRiSP Theme 3CNRM
SLO1 Rural PovertySLO3 Nutrition and healthSLO2 Food Security SLO4 Sustainability
Gene Bank; Novel gene pool;Valuable-trait genes
Breeding tools; breeding lines; (hybrid) varieties for biotic and abiotic stress, high yield, nutritious value
Resource-use efficient, low carbon-footprint management practices; Adaptations to stresses and Climate Change; Mechanized and Diversified systems
Post-harvest technologies, Strategies for market access, Specialty rices, Novel rice-based products
C4 rice
Information and tools for technology targeting; Impact assessments; Global rice information for policy analysis
Tools for communication and Extension; Models and tools for capacity building; Platforms for innovation and delivery; Seed and variety delivery systems
NARES and ARIs use tools, genes, (pre-)breeding lines to develop improved local rice varieties
Pro-poor and pro-gender improved management practices locally adapted by NARES and promoted by public, NGO, and private sector
Post-harvest technologies, market-access solutions, and value-added products locally adapted by NARES
Local policy makers and decision takers enlightened about rice policy opportunities
Extension, delivery, and capacity building models employed by local stakeholders
Functional (public, NGO, private) local rice seed delivery systems/markets
Farmers adopt improved and nutritious rice varieties
Farmers adopt sustainable and environmentally-friendly rice management practices
Rice value-chain actors adopt improved post-harvest practices
New cadre of high-quality rice researchers and extension agents; extended partnerships for delivery and impact at scale
Policies in place that support positive impact from rice research
Increased rice yield
Increased rice production
Enhanced ecosystem resilience
Reduced pesticide use
Increased water, labor, and energy use efficiency
Increased consumption of nutritious rice
Stable and affordable price of rice
Increased expandable income on nonrice items by poor rice farmers (and urban dwellers)
Stable and sufficient market availability of rice
Increased income by actors in the rice value chain
Reduced cost of rice production
Reduced mycotoxin contamination in rice
Farmers produce value-added and novel products
Reduced GHG emissions. carbon footprint in rice production Reduced post-
harvest loss in rice
Increased value adding in the rice value chain
Intermediate Development Outcome
Research Outcome
Outputs: products
End user
Partners
En
abli
ng
act
ion
s
Local rice seed distribution systems deployed
En
abli
ng
act
ion
s
Increased health of rice farmers and rice consumers
Urban Poverty
Breeders effectively access genebank for trait mining
Improved and accelerated variety development with novel traits
Increased women empowerrment
Participation of women in decision making
MDG: reduced poverty MDG: increased gender equity
GRiSP IDOsSLO 1: Reduced rural povertySLO 2: Improved food securitySLO 3: Improved nutrition and health SLO 4: Sustainably managed natural resources
# IDO SLOs1 Increased rice yield 1,2,32 Increased rice productivity (or resource-use efficiency) 1,2,33 Decreased poverty of net rice consumers (urban and rural) and
rice producers1
4 Increased sustainability and environmental quality of rice-based cropping systems
4
5 Improved efficiency and increased value in rice value chain 1,2,36 Improved nutrition status derived from rice consumption 37 Increased rice genetic diversity for current and future
generations1,2,3
8 Increased pro-poor and gender-equitable delivery systems for improved rice technologies
1-4
9 Increased gender equity in the rice value chain 1,2,3
Potential performance indicatorsIndicator IDO Theme Asia Africa Latin America Global
India-Bihar
India-Odissa
B’desh-South, coastal
Myanmar-cebtral,delta
Vietnam-South
Laos, cambodia
Philippines
Nigeria
Ghana
Tanzania
Mozambique
Senegal
Madagascar
Peru , Equador, Colombia
Venezuela
Dominican rep., Nicaragua
Uruguay, RGS- Brasil
1 Genetic gain 1 1,2 x x X2 Farmers’ yield 1 2,3 x x x x X3 Water productivity 2,4 34 Fertilizer productivity 2,4 35 Consumer expenditure on rice 3 5 X6 Income from rice farming 3 57 Pesticide use 4 38 Greenhouse gas emissions 4 3 X9 Post-harvest loss 5 410 Value added through specialty
products5 4
What is an IDO? How are we going to measure it?
Are we going to measure real or virtual performance?
Will this inspire and guide us to do better research?
Will anyone outside the CGIAR understand all that?
How can the CGIAR contribute to the post-2015 sustainable development
agenda?
Economic development
Social inclusion
Environmental sustainability
Good governance
Post-2015 process work streams
• UN GA session, Sep 25• Open Working Group
http://sustainabledevelopment.un.org• UN System Task Team• High-Level Panel of Eminent Persons• Sustainable Development Solutions Network
(SDSN), http://unsdsn.org• National, regional, global and thematic
consultations, http://www.worldwewant2015.org• UN Global Compact,
http://www.unglobalcompact.org/
http://unsdsn.org
03 June 2013
10 Sustainable Development Goals1. End Extreme Poverty Including Hunger
2. Achieve Development within Planetary Boundaries
3. Ensure Effective Learning for All Children and Youth for Life and Livelihood
4. Achieve Gender Equality, Social Inclusion, and Human Rights for All
5. Achieve Health and Wellbeing at All Ages
6. Improve Agricultural Systems and Raise Rural Prosperity
7. Empower Inclusive, Productive and Resilient Cities
8. Curb Human-Induced Climate Change and Ensure Sustainable Energy
9. Secure Ecosystem Services, Biodiversity and Good Management of Natural Resources
10. Transform Governance for Sustainable Development
http://unsdsn.org
Goal 6: Improve Agriculture Systems and Raise Rural Prosperity
Targets:• 6a. Ensure sustainable food production systems that
achieve high yields with high efficiency of water, nutrients, and energy, and have low food losses and waste.
• 6b. Halt forest and wetland conversion to agriculture, protect soil resources, and ensure that farming systems are resilient to climatic change and disasters.
• 6c. Ensure universal access in rural areas to basic resources and infrastructure services (land, water, sanitation, modern energy, transport, mobile and broadband communication, agricultural inputs, and advisory services).
Target 6a: Sustainable food production systems
Indicators:• Cereal yield growth rate (% p.a.)• Crop yield gap (actual yield as % of yield potential)• Livestock and fish productivity growth• Full-chain nitrogen [phosphorus] use efficiency (%)• Crop water productivity (tons of harvested product per
unit irrigation water)• …..• ……
Target 6a: Sustainable food production systems
Aspirational outcomes:• Annual yield growth rate of major food crops approaches
or exceeds [1.5]%.• The majority of farms achieve [80]% of the attainable
water-limited yield potential by 2030.• Livestock productivity in developing countries doubled by
2030, especially in Sub-Saharan Africa.• Full-chain efficiency of nitrogen and phosphorus
increased by [x]% relative to current levels in each country with sub-optimal efficiency.
• Water productivity of crop production increased by [30]% in countries with high water use for irrigation.
The CGIAR should adopt the post-2015 framework and terminology
Post-2015 SD• SDG• Targets• Indicators and metrics
for them• (specific outcomes)
CGIAR• SLOs• IDOs• Indicators• …
the timelines for the post-2015 process, a new SRF and a CRP II portfolio seem to match: 2013-2015
Could the CGIAR also step up and - as a major contribution to the post-2105 agenda - become the world leader in monitoring the performance of agriculture in developing countries?
Messages
• Embrace the ongoing SDG process and use the same framework.
• Focus on the unique role of the CGIAR: outcome-oriented research for SD.
• Do better priority setting at System (SRF) and CRP level using a uniform, transparent, robust theory of change and methodology.
• Measure the measurable at critical points along the R&D pipeline, for faster and greater impact.
• Leave enough room for the unexpected.