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ICRISAT Workplan 2013 – Main Points Relevant to ESA Dryland Systems

ICRISAT Workplan 2013 – Main Points Relevant to ESA Dryland Systems ( Emphasis on Chinyanja Triangle). 1. Site and Household Characterization

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ICRISAT Workplan 2013 – Main Points Relevant to ESA Dryland Systems

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  1. ICRISAT Workplan 2013 – Main Points Relevant to ESA DrylandSystems (Emphasis on Chinyanja Triangle).

  2. 1. Site and Household Characterization 1a. Collaborate to arrange/facilitate meeting of partners in Chinyanga Triangle to prioritize activities and refine site selection. Malawi, Mozambique, Zambia, Zimbabwe 1b. Identify and/or design and conduct baseline surveys once sites and active partners have been identified. Malawi, Mozambique, Zambia. 1c. Household characteristics of representative communities documented. 1d. Household typologies, based on 2 layers, livelihoods and market orientation (based on VC baseline data) and resilience status (based on resilience indices). Mozambique. 1e. Collect and analyze bio-physical and household survey data. TOA-MD modeling. Global

  3. 2. Innovation Platforms 2a. Identify household level constraints, potential points of intervention in small scale crop livestock systems in southwestern Zimbabwe and southern Malawi. 2b. Establish IP platform in southern Malawi to assess repeatability Zimbabwe experience, increase investment in crop & livestock systems, promote gender equity and increase access to markets. 2c. Enhancing knowledge, skills and capacities through IPs. Zimbabwe and Mozambique. 2d. Develop site specific pathways for sustainable intensification through IPs. Mozambique.

  4. 3. Adoption, livelihoods, resilience, vulnerability 3a. Develop a practical Resilience Index at Household and Community level. Global. 3b. Review of the factors influencing technology adoption and determining access to input and output markets and potential strategies to improve the targeting and adoption of technologies. Global. 3c. Use HH- and other data to explore the implications for technology adoption of farm size (and other resource constraints). Global. 3d. Explore the relative importance of competing activities to HH income and how these can be used to characterise HHs and aid targeting of technologies. Global. 3e. Quantify the risk associated with crop intensification by resource-poor HHs and test the hypothesis that HH vulnerability can be reduced by crop intensification. Global. 3f. Compare different models of technology transfer and their suitability for different HH types. Kenya, Global.

  5. 4. Biophysical activities. 4a. Landscape level biomass assessment of annual and perennials. Malawi, ? 4b. Establish soil and plant testing services to enable farmers to intensify crop production through use of correct types and amounts of lime and fertilizer inputs. Zimbabwe, Malawi and Mozambique.

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