First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi

In July-August 2019, CIAT-PABRA and ISABU collected household-level data in Burundi to evaluate a bean research project funded by SDC and Global Affairs Canada. This first impact assessment for the project analyzed the adoption of improved bean varieties and their effects on yields and food security...

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Main Authors: Katungi, Enid Mbabazi, Nduwarugira, Eric, Ntukamazina, Jean Nepomuscene, Niragira Sanctus, Mutua, Mercy Muli, Kalemera, Sylvia Monica, Nchanji, Eileen, Birachi Eliud, Rubyogo, Jean Claude
Format: Conjunto de datos
Language:Inglés
Published: 2025
Subjects:
Online Access:https://hdl.handle.net/10568/178334
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author Katungi, Enid Mbabazi
Nduwarugira, Eric
Ntukamazina, Jean Nepomuscene
Niragira Sanctus
Mutua, Mercy Muli
Kalemera, Sylvia Monica
Nchanji, Eileen
Birachi Eliud
Rubyogo, Jean Claude
author_browse Birachi Eliud
Kalemera, Sylvia Monica
Katungi, Enid Mbabazi
Mutua, Mercy Muli
Nchanji, Eileen
Nduwarugira, Eric
Niragira Sanctus
Ntukamazina, Jean Nepomuscene
Rubyogo, Jean Claude
author_facet Katungi, Enid Mbabazi
Nduwarugira, Eric
Ntukamazina, Jean Nepomuscene
Niragira Sanctus
Mutua, Mercy Muli
Kalemera, Sylvia Monica
Nchanji, Eileen
Birachi Eliud
Rubyogo, Jean Claude
author_sort Katungi, Enid Mbabazi
collection Repository of Agricultural Research Outputs (CGSpace)
description In July-August 2019, CIAT-PABRA and ISABU collected household-level data in Burundi to evaluate a bean research project funded by SDC and Global Affairs Canada. This first impact assessment for the project analyzed the adoption of improved bean varieties and their effects on yields and food security, using farmer recall. For variety identification, the study combined farmer recall with DNA fingerprinting. However, the initial impact analysis in 2020 was based on farmer recall, as the DNA results were not available at the time of publication. This is data collected in round one. Methodology:The data were collected by researchers who have good knowledge in French and kirundi and have extensive experience in bean production context of Burundi. The team trained for 5 days in the questions written in English. Prior to the actual survey, the questionnaires were translated from English into French, uploaded onto tablets and pretested on few selected farmers. A community questionnaire was administered to key informants (i.e. village leaders and elders) during the first round of the survey and gathered information on the village level variables including the institutional aspects, such as access to information, seed, seed distribution programs, credit, roads, and market infrastructure and cultivar changes, and agro-climatic shocks. Data were collected in two rounds: • Round 1 (July 2019): Focused on farm characteristics, adoption of improved bean varieties, production data, and a 7-day recall of household food consumption. The dataset includes information at household, plot and village level. Data set were collected around six modules as follows: 1) Household & Location: Demographics, assets, housing, and social networks, 2) Agricultural Practices: Bean varieties, cultivation methods, inputs, harvests, and market factors, 3) Institutional environment: Access to institutional services and credit, 4) Gender: men and women access to information and food intake by women in reproductive age groups and children below 5 years, 5) Post harvest: utilization and marketing. 6) Preferences & Food Security: Bean trait preferences and food security indicators. • Round 2 (Nov-Dec 2019): Assessed food and nutrition security through detailed dietary recalls for women of reproductive age (24-hour) and the entire household (7-day). This data set will be published separately.
format Conjunto de datos
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institution CGIAR Consortium
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publishDateRange 2025
publishDateSort 2025
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spelling CGSpace1783342025-11-27T13:46:57Z First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi Katungi, Enid Mbabazi Nduwarugira, Eric Ntukamazina, Jean Nepomuscene Niragira Sanctus Mutua, Mercy Muli Kalemera, Sylvia Monica Nchanji, Eileen Birachi Eliud Rubyogo, Jean Claude impact assessment varieties burundi In July-August 2019, CIAT-PABRA and ISABU collected household-level data in Burundi to evaluate a bean research project funded by SDC and Global Affairs Canada. This first impact assessment for the project analyzed the adoption of improved bean varieties and their effects on yields and food security, using farmer recall. For variety identification, the study combined farmer recall with DNA fingerprinting. However, the initial impact analysis in 2020 was based on farmer recall, as the DNA results were not available at the time of publication. This is data collected in round one. Methodology:The data were collected by researchers who have good knowledge in French and kirundi and have extensive experience in bean production context of Burundi. The team trained for 5 days in the questions written in English. Prior to the actual survey, the questionnaires were translated from English into French, uploaded onto tablets and pretested on few selected farmers. A community questionnaire was administered to key informants (i.e. village leaders and elders) during the first round of the survey and gathered information on the village level variables including the institutional aspects, such as access to information, seed, seed distribution programs, credit, roads, and market infrastructure and cultivar changes, and agro-climatic shocks. Data were collected in two rounds: • Round 1 (July 2019): Focused on farm characteristics, adoption of improved bean varieties, production data, and a 7-day recall of household food consumption. The dataset includes information at household, plot and village level. Data set were collected around six modules as follows: 1) Household & Location: Demographics, assets, housing, and social networks, 2) Agricultural Practices: Bean varieties, cultivation methods, inputs, harvests, and market factors, 3) Institutional environment: Access to institutional services and credit, 4) Gender: men and women access to information and food intake by women in reproductive age groups and children below 5 years, 5) Post harvest: utilization and marketing. 6) Preferences & Food Security: Bean trait preferences and food security indicators. • Round 2 (Nov-Dec 2019): Assessed food and nutrition security through detailed dietary recalls for women of reproductive age (24-hour) and the entire household (7-day). This data set will be published separately. 2025 2025-11-27T13:46:56Z 2025-11-27T13:46:56Z Dataset https://hdl.handle.net/10568/178334 en Open Access Katungi, E.M.; Nduwarugira, E.; Ntukamazina, J.N.; Niragira Sanctus; Mutua, M.M.; Kalemera, S.M.; Nchanji, E.; Birachi Eliud; Rubyogo, J.C. (2025) First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi. https://doi.org/10.7910/DVN/UMR2OC
spellingShingle impact assessment
varieties
burundi
Katungi, Enid Mbabazi
Nduwarugira, Eric
Ntukamazina, Jean Nepomuscene
Niragira Sanctus
Mutua, Mercy Muli
Kalemera, Sylvia Monica
Nchanji, Eileen
Birachi Eliud
Rubyogo, Jean Claude
First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi
title First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi
title_full First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi
title_fullStr First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi
title_full_unstemmed First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi
title_short First round Dataset: Impacts of Improved Bean Technology on Smallholder Productivity and Food Security in Burundi
title_sort first round dataset impacts of improved bean technology on smallholder productivity and food security in burundi
topic impact assessment
varieties
burundi
url https://hdl.handle.net/10568/178334
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