SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

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Information sharing on the development of a Science Agenda for Agriculture in Africa With inputs for CAADP-CGIAR alignment April 13, 2013 Dublin, Ireland

Transcript of SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Page 1: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Agriculture Science Agenda for Africa Discussions on Programmatic Alignment CAADP and CGIAR

13 April, Dublin

Jean-Marc Boffa, John Dixon, Dennis Garrity, Stan Wood, and many others

Page 2: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

Background on approach

• FS: Large populations of farm systems classified on broadly similar patterns of livelihood and consumption patterns, as well as constraints and opportunities

• Policy-making relevance: Similar development strategies and interventions apply.

• Classification based on: – Agroecology (LGP), production constraints – Key commodities – Socio-economic parameters (demographic,

market access, historical devt, etc)

Page 3: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

• Temporal analysis for trends • Dynamic system understanding

with analysis of drivers playing in unique ways at FS level, and specific priorities for policy and science

• A first step – Need for regular updating – Large scale of analysis, need for

lower system resolution

Categories of drivers analyzed

• Population, hunger and poverty

• Natural resources and climate

• Energy • Human capital and

information • Technology and science • Markets and trade • Institutions and policies

Page 4: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

Map of Sub-Saharan farming systems

Page 5: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

Highland Perennial FS and subsystems Central Highlands Western Highlands Population density +++ ++++ Farm size +++ ++ Market infrastructure ++ + Poverty 30% poor >60% poor Farm area

35% maize 17% tea

17% coffee More high value crops

42% maize 8% tea

10% coffee

% of improved cattle 95% 22% of crop area in

fodder Zero-grazing increasing

67% 11% in fodder

Value of production 102K KSh/household 44K KSh/household Use of fertilizers 122 kg/ha

74 manure bags 51 kg/ha

26 manure bags High population density High agricultural potential Permanently cultivated systems Market-orientation as a way to intensify systems

Page 6: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

Strategic priorities Albertine Rift systems (Diversifying)

• Small market size, very high transport

costs and fertilizer prices • Shift to higher value crops more

difficult because of small farm size • Soil fertility management as pre-

condition for improved productivity

• Deepen market-driven intensification through further diversification in cash crops while improving productivity of staple food crops

• Improve fertilizer markets for cash crops

• Nutrient use efficiency

Central Kenyan Highlands (Commercializing)

• Balance rural poverty objectives with increasing marketable surpluses

• Reduce transaction costs in land markets • Diversify (dairy,) soil fertility, cash reserves

for reinvestment. Continue to intensify (smallholder irrigation, timing of marketing

• On-farm and off-farm employment, education, credit

• Efficient staple food markets, maintenance of home gardens (family nutrition, production of secondary staples) reduce seasonal price volatility through improved grain milling and storage

Page 7: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

Aspects of potential value addition to technology platform

• Effectiveness of innovations is conditioned by agro-ecological context. AEZ is natural target for improved research and investment

• Productivity impacts of interventions more uniform within specific FS than across FS, leading to more accurate assessments

• Level of higher granularity needed for effective analysis, and planning for impact – Sustainability concern: Need for refined understanding of natural

resource and production interactions

• User-defined contextualization needed for identifying relevant technology/innovation opportunities

Page 8: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

• Anchor some degree of complexity and integration: – Diversity of crops, technologies and practices in each FS – Focus on farm household, where production decisions, gender and

nutrition issues, household welfare and resource management operate

– Interactions between farm and natural, social and economic envt

• Identify and exploit knowledge and technology transfer / spillover potential

• Can it serve as one of the frameworks to express planned and on-going investments and R&D results organized by countries at a meaningful aggregate level?

Aspects of potential value addition to technology platform -2

Page 9: SSA Farming Systems Framework: Potential input to the Dublin Process / Technology Platform

Farming Systems and Food Security in Sub-Saharan Africa: Priorities for Science and Policy

Sample of data layers on resources, drivers and trends in African agriculture (by FS or regional level)

Agro-ecological datasets

• Agro-ecological Zones Data and Farming Systems

• Land Resources – Agro-ecological zonation – Length of growing period – Land use/land cover – Protected areas

• Land Quality • Crop Suitability • Crop Summary Tables • Yield and Production Gaps • Biomass productivity

Socio-economic datasets • Poverty • Population density (human, livestock) • Malnutrition • Distance to Market • Vulnerability to climate change