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Part 1: Document Description
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Citation |
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Title: |
Rapid Characterisation of Farming Systems in Africa RISING-MALI |
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Identification Number: |
doi:10.7910/DVN/22TFM8 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2017-08-30 |
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Version: |
1 |
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Bibliographic Citation: |
Wageningen University and Research (WUR); International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), 2014, "Rapid Characterisation of Farming Systems in Africa RISING-MALI", https://doi.org/10.7910/DVN/22TFM8, Harvard Dataverse, V1 |
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Citation |
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Title: |
Rapid Characterisation of Farming Systems in Africa RISING-MALI |
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Identification Number: |
doi:10.7910/DVN/22TFM8 |
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Authoring Entity: |
Wageningen University and Research (WUR) |
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International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) |
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Other identifications and acknowledgements: |
Jeroen Groot (Wageningen University and Research (WUR)) |
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Other identifications and acknowledgements: |
Katrien Descheemaeker (Wageningen University and Research (WUR)) |
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Other identifications and acknowledgements: |
Mary Ollenburger (Wageningen University and Research (WUR)) |
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Other identifications and acknowledgements: |
United States Agency for International Development (USAID) |
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Producer: |
Wageningen University & Research (WUR) |
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International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) |
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Date of Production: |
2014 |
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Software used in Production: |
Microsoft Excel |
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Distributor: |
Harvard Dataverse |
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Distributor: |
International Food Policy Research Institute (IFPRI) |
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Access Authority: |
Groot, Jeroen |
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Access Authority: |
Descheemaeker, Katrien |
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Depositor: |
IFPRI-KM |
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Date of Deposit: |
2017-07-27 |
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Date of Distribution: |
2014-09-01 |
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Series Name: |
Biophysical Surveys |
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Holdings Information: |
https://doi.org/10.7910/DVN/22TFM8 |
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Study Scope |
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Keywords: |
Arts and Humanities, Social Sciences, groundnuts, maize, rice, chickens, cattle, goats, cotton, sheep, millets, sorghum, vegtables, cowpeas, MALI, WEST AFRICA, AFRICA SOUTH OF SAHARA, AFRICA |
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Topic Classification: |
Agronomy, Agricultural research |
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Abstract: |
<p>This data study contains household and community survey in support of Africa RISING farming systems analysis.</p> <p><h4>About the project </h4></p> <p><b>Project title: Rapid Characterization of Farming Systems in Africa RISING-MALI</b></p> <p><b> Project abstract </b></p> <p>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.</p> <p><b>Project website</b>: <a href="http://africa-rising.net">http://africa-rising.net</a></p> <p> <b>Project start date</b>: 01/04/2013 </p> <p><b> Project end date </b>: 01/04/2014</p> |
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Date of Collection: |
2013-04-01-2014-04-01 |
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Country: |
Mali |
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Kind of Data: |
Agronomy data |
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Kind of Data: |
Observation data |
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Kind of Data: |
Experimental data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<h3> IFPRI DATAVERSE TERMS OF USE </h3> 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 <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License.</a><br /> <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a> |
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Other Study Description Materials |
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Label: |
001_CMDTNampossela_anonymous.xls |
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Notes: |
application/vnd.ms-excel |
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Label: |
002_CMDTSirakele_anonymous.xls |
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Notes: |
application/vnd.ms-excel |
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Label: |
003_DonnéesExploitationsCMDTBougouni_anonymous.xls |
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Notes: |
application/vnd.ms-excel |