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Replication Data for: Major constraints and trends for common bean production and commercialization; establishing priorities for future research

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Major constraints and trends for common bean production and commercialization; establishing priorities for future research
 
Identifier https://doi.org/10.7910/DVN/0ABVEM
 
Creator Rodríguez de Luque, Jesús José
Creamer, Bernardo
 
Publisher Harvard Dataverse
 
Description In order to identify the principal constraints and trends for common bean production and commercialization and the priorities for future common bean research in Africa, Latin America and the Caribbean (LAC), a priority setting process was developed at the International Center for Tropical Agriculture (CIAT). The results suggested that the principal research included breeding and selecting for several traits, such as drought tolerance and water use efficiency, improved yields, and consumer acceptance. Additionally, the results of the priority setting process suggested that institutional measures are needed, such as improving formal seed production and distribution channels and the development of national and regional seed policies. On the other hand, the identified principal constraints included diseases, pests, and market constraints. Finally, the identified principal trends were: increase in demand and production, and development of high-yield varieties and improvement in nutritional quality.
 
Subject Earth and Environmental Sciences
Research options
Constraints analysis
Scoring model
Common beans
Commercialization
Latin America and the Caribbean
Africa
Decision and Policy Analysis - DAPA
 
Language English
French
Portuguese
Spanish, Castilian
 
Contributor Garcia, Carolina
 
Type Survey Data
Socio-economic Data
 
Source The respondents interacted with the survey in two ways; it was administered in person to bean experts at the PCCMCA meeting and it was made available online via the Survey Monkey web page (https://www.surveymonkey.com/)