The International Center for Tropical Agriculture (CIAT), a member of the CGIAR Consortium, believes that open access contributes to its mission of reducing hunger and poverty, and improving human nutrition in the tropics through research aimed at increasing the eco-efficiency of agriculture. Research data produced by CIAT and its Partners is distributed freely whenever possible. Kindly note that these datasets require proper citation and citation information is included with the metadata for each dataset. Please use email button above to contact the CIAT Data, Information, Knowledge Group for questions about CIAT Data.
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31 to 40 of 214 Results
Jul 29, 2019
International Center for Tropical Agriculture, 2019, "Cassava Diseases Evaluation - Edaphoclimatic Zone 5: Tropical; High Altitude", https://doi.org/10.7910/DVN/WXIGQY, Harvard Dataverse, V1, UNF:6:O4SWOE5bYGq4Rr+/6qdndw== [fileUNF]
CIAT systematically evaluates all germplasm accessions in diverse sites in Colombia, to obtain a broad characterization of adaptation to different soils and climates, resistance to many pests and diseases, and quality traits. The information is used primarily to select parents which can potentially contribute characters requested by national progra...
Jul 29, 2019
International Center for Tropical Agriculture, 2019, "Cassava Diseases Evaluation - Edaphoclimatic Zone 3: Lowland Tropics; Short or Absent Drought, High Precipitation", https://doi.org/10.7910/DVN/EOIB2X, Harvard Dataverse, V1, UNF:6:qGF31ZquZD86FINkOe5cKA== [fileUNF]
CIAT systematically evaluates all germplasm accessions in diverse sites in Colombia, to obtain a broad characterization of adaptation to different soils and climates, resistance to many pests and diseases, and quality traits. The information is used primarily to select parents which can potentially contribute characters requested by national progra...
Jul 29, 2019
International Center for Tropical Agriculture, 2019, "Cassava Diseases Evaluation - Edaphoclimatic Zone 2: Lowland Tropics; Acid Soils; Medium to High Precipitation", https://doi.org/10.7910/DVN/WEA83N, Harvard Dataverse, V1, UNF:6:C1mYdp5W+lPuQbTf9N0+pQ== [fileUNF]
CIAT systematically evaluates all germplasm accessions in diverse sites in Colombia, to obtain a broad characterization of adaptation to different soils and climates, resistance to many pests and diseases, and quality traits. The information is used primarily to select parents which can potentially contribute characters requested by national progra...
Jul 29, 2019
International Center for Tropical Agriculture, 2019, "Cassava Diseases Evaluation - Edaphoclimatic Zone 1: Lowland Tropics; Long drought; Low to Medium Precipitation", https://doi.org/10.7910/DVN/G6FJWK, Harvard Dataverse, V1, UNF:6:RR6+ZTIprS9tUzb/aYZX0A== [fileUNF]
CIAT systematically evaluates all germplasm accessions in diverse sites in Colombia, to obtain a broad characterization of adaptation to different soils and climates, resistance to many pests and diseases, and quality traits. The information is used primarily to select parents which can potentially contribute characters requested by national progra...
Jul 2, 2019
Piikki, Kristin; Söderström, Mats; Sommer, Rolf; Da Silva, Mayesse, 2019, "Physical topsoil properties in Murugusi, Western Kenya", https://doi.org/10.7910/DVN/GVNJAB, Harvard Dataverse, V1, UNF:6:Lxx21ICZO4yG59/xN+m8WQ== [fileUNF]
General: Lab determined topsoil bulk density, contents of sand, clay and organic carbon in Murugusi, W. Kenya, together with spatial coordinates of where the soil samples were taken (rounded to the closest center point of a 250 m × 250 m raster). All lab analyses were carried out at the ILRI/CIAT lab in Nairob, Kenya. Soil sampling: At each sample...
Jun 27, 2019
Diaz, Santiago; Ariza-Suarez, Daniel; Izquierdo, Paulo; Lobaton, Juan David; de la Hoz, Juan; Acevedo, Fernando; Duitama, Jorge; Guerrero, Alberto; Cajiao, Cesar; Mayor, Victor; Beebe, Stephen; Raatz, Bodo, 2019, "Replication Data for: Genetic mapping for agronomic traits in a MAGIC population of common bean (Phaseolus vulgaris L.) under drought conditions", https://doi.org/10.7910/DVN/JR4X4C, Harvard Dataverse, V1, UNF:6:9Mo09XULmZ19DQpPaR+Byw== [fileUNF]
These datasets contain phenotypic and genotypic data of a MAGIC (Multiparent Advanced Generation Inter-Crosses) population of common bean (Phaseolus vulgaris L.), developed by inter-crossing of eight Mesoamerican elite breeding lines. The main goal for this population is to be used for applications in breeding and breeding tool development, which w...
Jun 20, 2019
Quintero, Marcela; Vanegas, Martha; Perez, Lisset; Camilo, Karen; Cruz García, Gisella S.; Sachet, Erwan; Sosa, Chrystian C; Castañeda Álvarez, Nora P; Romero Sanchez, Miguel A.; Suarez Salazar, Juan C.; Angel, Katherine; Rico, Adrian; Solarte, Antonio; Zapata, Catalina; Barrera, Jaime; Hermida, Marfi, 2019, "Sustainable Amazonian Landcapes, Colombia socioeconomic survey", https://doi.org/10.7910/DVN/NOTF7R, Harvard Dataverse, V1, UNF:6:64TdIb602dD02JQUgUllAA== [fileUNF]
The household survey was done in the four municipalities that are part of two landscape units from 30 March 2016 to 3 October 2016. A total of 341 households were surveyed, of which 176 (51, 6%) were from UP4 (hill) and 165 (48, 4%) from UP6 (mountainous). All the households that participated in the survey did it freely and under prior informed con...
Jun 20, 2019
Quintero, Marcela; Vanegas, Martha; Perez, Lisset; Camilo, Karen; Cruz García, Gisella S.; Sachet, Erwan; Sosa, Chrystian C; Castañeda Álvarez, Nora P; Romero Sanchez, Miguel A.; Solis, Reynaldo; Lao, Ceila, 2019, "Sustainable Amazonian Landcapes, Peru socioeconomic survey", https://doi.org/10.7910/DVN/GTAUFO, Harvard Dataverse, V1, UNF:6:4ghenl5g7M/MBDrdgOXiZQ== [fileUNF]
The household survey was done in 35 communities that are part of the four landscape units from 17th June 2016 to 28th January 2017. A total of 417 households were surveyed. All the households that participated in the survey did it freely and under prior informed consent. Sampling was stratify across the four landscape units in order to take into ac...
Jun 20, 2019
Quintero, Marcela; Romero Sanchez, Miguel A.; Pulleman, Mirjam; Botero Vargas, Cesar A.; Sierra, Leidi; Argote Deluque, Karolina; Suarez Salazar, Juan C.; Rodriguez Suarez, Leonardo; Rico, Adrian; Wiersma, Wietse, 2019, "Sustainable Amazonian Landcapes Project, SOILDATABASE Colombia", https://doi.org/10.7910/DVN/BTRJKD, Harvard Dataverse, V1, UNF:6:9n4rYLFcKHSwpTFtyZPIrg== [fileUNF]
The objective of the project is to provide national environmental authorities and local farmers in Colombia and Peru with scientific evidence to increase their capacity to mitigate and adapt to climate change, while improving environmental services and socio-economic benefits for farmers. All the parameters of the data table were evaluated in diffe...
May 29, 2019
Mwungu, Chris M; Kizito, Fred; Mwongera, Caroline; Koech, Nicholas; Odhiambo, Collins, 2019, "Household survey data of integrated land and water management for adaptation to climate variability and change in West Africa.", https://doi.org/10.7910/DVN/2PZOPV, Harvard Dataverse, V1, UNF:6:HFjgHwi/SuHwged4IsfucA== [fileUNF]
This data was collected in seven west African countries namely Nigeria, Burkina Faso, Sierra Leone, Benin, Gambia and Senegal. In 2012, the Danish government funded seven projects in west Africa to help small scale farmers adapt to the negative effects of climate change. These projects were implemented by West and Central African Council for Agricu...
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