1 to 10 of 214 Results
Mar 4, 2023 - The Alliance of Bioversity International and CIAT Dataverse
Achicanoy, Harold; Alvarez, Patricia; Béné, Christophe; Prager, Steven; Lamotte, Lea; Bonilla, Camila, 2019, "Sustainable food systems global index", https://doi.org/10.7910/DVN/GYEG59, Harvard Dataverse, V8, UNF:6:tcNJ1k7aZbhW6cQhDUKvZA== [fileUNF]
Assess and measure the food system sustainability worldwide in a robust and consistent manner |
Jul 15, 2021 - CCAFS - Climate Change, Agriculture and Food Security Dataverse
Bonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Recha, John; Ambaw, Gebermedihin; Tadesse, Meron, 2020, "2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia)", https://doi.org/10.7910/DVN/DOPMQY, Harvard Dataverse, V5, UNF:6:rR3ohzp3CbHOynEIAkRCfw== [fileUNF]
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Doyogena Climate Smart Village (Ethiopia) in October 2019. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-base... |
Mar 11, 2021 - CCAFS - Climate Change, Agriculture and Food Security Dataverse
Bonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Recha, John; Ambaw, Gebermedihin; Kakeeto, Ronald, 2019, "2018- CSA Monitoring: Hoima Climate-Smart Village (Uganda)", https://doi.org/10.7910/DVN/RJGSDF, Harvard Dataverse, V3, UNF:6:coXhMAAzBe0u6RpHTfz1bA== [fileUNF]
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Hoima Climate Smart Village (Uganda) in October 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evi... |
Mar 11, 2021 - CCAFS - Climate Change, Agriculture and Food Security Dataverse
Bonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Martínez, Deissy, 2019, "2018- CSA Monitoring: Olopa Climate Smart-Village (Guatemala)", https://doi.org/10.7910/DVN/3GICDI, Harvard Dataverse, V3, UNF:6:V7iOPIQdiuFL0BnX0BpmZg== [fileUNF]
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Olopa Climate Smart Village (Guatemala) in April 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based ev... |
Mar 8, 2021
Enciso, Karen; Burkart, Stefan, 2020, "Replication Data for: Consumer Preferences and Market Segmentation for Differentiated Beef with Less Environmental Impact", https://doi.org/10.7910/DVN/FMGTQF, Harvard Dataverse, V2, UNF:6:1QP7sQYCNlbVUtWiLKSlbQ== [fileUNF]
The aim of this study was to define consumer segments interested in purchasing beef with less environmental impact (derived from production systems with improved forages) and to determine their willingness to pay (WTP) for such products. A semi-structured questionnaire was applied to a total of 354 randomly selected meat consumers in Cali (Valle de... |
Hyman, Glenn Graham, 2020, "Global Climate Regions for Cassava", https://doi.org/10.7910/DVN/WFAMUM, Harvard Dataverse, V2
This map shows global climate regions for cassava cultivation. Maps were developed separately for Asia, Africa and Latin America based on Carter et al. 1992. The maps were combined into a single map for the tropical and subtropical regions of the world. The determination of the climate regions is based on mean growing season temperature, number of... |
Jul 28, 2020
Farrow, A.; Muthoni-Andriatsitohaina, R.; Ongom, B.; Ojara, M., 2020, "Bean production areas in sub-Saharan Africa", https://doi.org/10.7910/DVN/8W0QK7, Harvard Dataverse, V1, UNF:6:qMkDAr5PGnQnoeiDPaQJGA== [fileUNF]
176 bean production areas were identified and reviewed using a form of the Delphi method of consensus building among experts from almost all bean producing countries of sub-Saharan Africa. Data were collected for: bean production, cropping systems and producers; seed systems; bean use and marketing; bean grain types and varieties; and abiotic and b... |
Jun 23, 2020
Peng, Yuan-Ching; Siles, Pablo; Zeledón, Yasser; Dorado, Hugo Andres; Rivera-Palacio, Juan, 2020, "Upland rice from technological validation areas and community banks of seeds in Nicaragua", https://doi.org/10.7910/DVN/CKRZTT, Harvard Dataverse, V2, UNF:6:O7d0clOhMqPPoOKOo7Mhxg== [fileUNF]
This dataset contains 438 crop cycles for upland rice in 22 departments of Nicaragua that were collected with INTA (Instituto Nacional de Tecnología Agropecuaria) in the period 2016 – 2020. In the dataset, 100 and 338 records came from technological validation areas and community banks of seeds, respectively. Each location was georeferenced. Variab... |
Mar 27, 2020
Raatz, Bodo, 2020, "SNP genotyping results from Intertek Sweden outsourcing service", https://doi.org/10.7910/DVN/HMB1ZO, Harvard Dataverse, V1
Leaf discs were collected in the field and greenhouse and sent to Intertek Sweden for DNA extraction and SNP genotyping. 10 SNPs were evaluated on each sample. Data was used by the breeding program to select lines with favorable alleles. |
Mar 27, 2020
Raatz, Bodo; Beebe, Stephen, 2020, "Replication Data for: Experimental Bean lines selected for tolerance to Drought.", https://doi.org/10.7910/DVN/EZBQBF, Harvard Dataverse, V1
Experimental Bean lines selected for tolerance to Drought. These lines will be sent to collaborators in Central America and Africa to be evaluated under their local conditions. Yield in Kg / Ha with and without drought stress was evaluated. |
