Rapid Characterisation of Farming Systems in Africa RISING-MALI

This data study contains household and community survey in support of Africa RISING farming systems analysis.

About the project Project title: Rapid Characterization of Farming Systems in Africa RISING-MALI Project abstract Sustainable intensification of mixed crop livestock systems is a key pathway towards better food security, improved livelihoods and a healthy environment. As part of the US government’s Feed the Future initiative to address hunger and food security issues in sub-Saharan Africa, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. In East and Southern Africa the project is being implemented in Tanzania and Malawi, and Zambia. - In Tanzania the project is being implemented in Babati and Kongwadistricts in Manyara region of northern Tanzania and Kiteto district in Dodoma region, central Tanzania. The action sites were selected to acknowledge agroecological differences, allow appropriate targeting of technologies and strategies, and complement the development efforts of another USAID-supported program, the Tanzania Staples Value Chain (NAFAKA) project. - In Malawi, the project is being implemented in Ntechu and Dedza districts in central Malawi where maize-based productions systems are dominant. Agroecological considerations guided the identification of research action sites. - The pilot site for the study will be Eastern and Lusaka Provinces in Zambia. Project website: http://africa-rising.net Project start date: 01/04/2013 Project end date : 01/04/2014

Data and Resources

Additional Info

Field Value
Creator Wageningen University and Research (WUR),International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
Creator ID Type Not Applicable
Creator ID Not Applicable
Subject Vocab GROUNDNUTS,MAIZE,RICE,CHICKENS,CATTLE,GOATS,COTTON,SHEEP,MILLETS,SORGHUM,VEGTABLES,COWPEAS,MALI,WEST AFRICA,AFRICA SOUTH OF SAHARA,AFRICA
Subject(s) Africa RISING,ARTS AND HUMANITIES,SOCIAL SCIENCES
Publisher Harvard Dataverse
Contributor Person Jeroen Groot (Wageningen University and Research (WUR)),Katrien Descheemaeker (Wageningen University and Research (WUR)),Mary Ollenburger (Wageningen University and Research (WUR)),United States Agency for International Development (USAID)
Contributor Project Lead Organisation Center International Institute of Tropical Agriculture(IITA)
Contributor Project Lead Center Not Applicable
Contributor CRP Not Applicable
Contributor Partner Not Applicable
Contributor Donor United States Agency for International Development (USAID)
Contributor Project AfricaRising
Contributor Affiliation Not Applicable
Open-Access status Open Access
Production Date 2014-01-01
Embargo End Date 2014-09-01
Content Type Dataset
File Format Text
Identifier Type DOI
Identifier http://dx.doi.org/10.7910/DVN/22TFM8
Identifier Citation Wageningen University and Research (WUR),International Crops Research Institute for the Semi-Arid Tropics (ICRISAT),2014-01-01,Rapid Characterisation of Farming Systems in Africa RISING-MALI,https://dataverse.harvard.edu/dataverse/AfricaRISING,1.0,http://dx.doi.org/10.7910/DVN/22TFM8
Source None
Language English
Relation None
Agroecological Zone Not Applicable
Coverage Region Not Applicable
Coverage country Mali
Coverage Admin Unit Not Applicable,
Coverage X Not Applicable
Coverage Y Not Applicable
Coverage Start Date 2014-09-27
Coverage End Date 2014-09-27
Contact Groot, Jeroen ;Wageningen University and Research (WUR)
Contact Email jeroen.groot@wur.nl
Restriction IFPRI DATAVERSE TERMS OF USE By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under Creative Commons Attribution 4.0 International License.
Email Permission Not Applicable
Rights NONE; IFPRI DATAVERSE TERMS OF USE By using this website and any of the materials made available through it, you agree to abide by the Terms of Use of IFPRI Dataverse. The datasets and documents in this study are licensed under Creative Commons Attribution 4.0 International License. ;jeroen.groot@wur.nl