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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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1 to 10 of 108 Results
Sep 11, 2017
Shikuku, Kelvin; Winowiecki, Leigh; Twyman, Jennifer; Eitzinger, Anton; Perez, Juan G; Mwongera, Caroline; Läderach, Peter , 2017, "Replication Data for: Smallholder farmers’ attitudes and determinants of adaptation to climate risks in East Africa", doi:10.7910/DVN/VJWHT9, Harvard Dataverse, V1
The objective of organizing this dataset was to measure farmers’ attitudes and assess determinants of adaptation to climate risks in East Africa. This dataset comprises information about farmers’ adaptation strategies to climate risks in four CCAFS sites in east Africa, namely Ny...
Aug 26, 2017
Le Thi Phuong Dung, 2017, "Vietnam household survey data for cassava varietal adoption study", doi:10.7910/DVN/4HJJXZ, Harvard Dataverse, V1, UNF:6:UehwmQaZK7eULI7vopmq6w==
In 2015, CIAT and Vietnamese partners started a study on “Documenting the adoption of improved cassava varieties and assessing impacts on farm productivity and farm income of cassava genetic improvement in Vietnam”. This is the first such study in Vietnam and in the region using...
Aug 25, 2017
Imbach, Pablo; Fung, Emily; Hannah, Lee; Navarro-Racines, Carlos E.; Roubik, David W.; Ricketts,Taylor H.; Harvey, Celia A.; Donatti, Camila I.; Läderach, Peter; Locatelli, Bruno; Roehrdanz, Patrick, 2017, "Bee diversity and coffee suitability under climate change in Latin America", doi:10.7910/DVN/9DY3GE, Harvard Dataverse, V1
CASCADE project “Ecosystem-based Adaptation for smallholder Subsistence and Coffee Farming Communities in Central America”
Aug 24, 2017
Parker, Louis; Guerten, Nora; Thi Nguyen, Than; Rinzin, Chimi; Tashi, Dawa; Wangchuk, Dorji; Bajgai, Yadunath; Subedi, Kiran; Phuntsho, Loday; Thinley, Namgay; Chhogyel, Ngawang; Gyalmo, Tasho; Katwal, Tirtha B.; Zangpo, Tshelthrim; Acharya, Sagar; Pradhan, Sangita; Penjor, Sonam, 2017, "Climate Change Impacts in Bhutan: Challenges and opportunities for the agricultural sector", doi:10.7910/DVN/HGECWU, Harvard Dataverse, V1
This project was undertaken to examine the suitability of 8 keys crops in Bhutan under current conditions and under a high emission climate scenario (RCP 8.5) for the year 2050. This was a collaborative initiative between MoAF, CIAT and UNEP, funded through the Asia-Pacific Clima...
Jul 27, 2017
Wyckhuys Kris A.G., 2017, "Replication Data for: Phytoplasma infection of a tropical root crop triggers bottom-up cascades by favoring generalist over specialist herbivores", doi:10.7910/DVN/OERIEZ, Harvard Dataverse, V1
We tested the hypothesis that a Candidatus Phytoplasma causing cassava witches’ broom (CWB) on cassava (Manihot esculenta Grantz) is altering species composition of invasive herbivores and their associated parasitic hymenopterans. We conducted observational studies in cassava fie...
Jul 13, 2017
Wilkus, Erin Lynn ; Francesconi, Gian Nicola, 2017, "Value chain development to reach the nutritional needs of the urban poor: The role of brokers and SMEs for the commercialization of common beans in East Africa", doi:10.7910/DVN/N5UAVU, Harvard Dataverse, V1, UNF:6:NbIDQCDcO39dYOmMIztUow==
This study addresses the need to empirically determine the effect of brokers on the performance of SMEs in the common bean value chains of Uganda and Kenya. Contrary to the conventional portrayal of brokers as scam artists, this analysis determined that broker use benefited SMEs...
Jul 13, 2017
Wilkus, Erin Lynn; Francesconi, Gian Nicola, 2017, "Enhancing the benefits of value chain development: Addressing gender disparities in Kenyan and Ugandan common bean value chains", doi:10.7910/DVN/W0KNMD, Harvard Dataverse, V1, UNF:6:NkDJZ/1Z0gk96Qx9jGGzfg==
This study contributed to a better understanding of current gender disparities that can help to ensure future inclusive market development and associated benefits. The analysis is based on empirical evidence from female and male small and medium enterprise (SME) owners along the...
Jul 10, 2017
Kihara, Job; Tibebe, Degefie; Gurmensa, Biyensa; Lulseged, Desta, 2017, "Towards understanding fertilizer responses in Ethiopia", doi:10.7910/DVN/RKUMXB, Harvard Dataverse, V1
This is a comprehensive dataset specifically on crop response to fertilizers and is obtained from published journal articles, thesis and proceedings spanning at least 5 decades. It represents all the agriculturally productive regions of Ethiopia. The data contains information on...
Jul 10, 2017
Kihara, Job; Sileshi, Gudeta Weldesemayat; Nziguheba, Generose; Kinyua, Michael; Zingore, Shamie; Sommer, Rolf, 2017, "Replication Data for: Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa", doi:10.7910/DVN/8AJQJJ, Harvard Dataverse, V1
Secondary and micronutrients are important in enhancing crop productivity; yet, they are hardly studied in sub-Sahara Africa. In this region, the main focus has been on macronutrients but there is emerging though scattered evidence of crop productivity limitations by the secondar...
May 8, 2017
Andriatsitohaina, Muthoni R; Nagadya, R; Okii, D; Obilil, Innocent; Mukankusi, Clare Mugisha; Chirwa, Rowland; Zulu, Rodah Morezio; Lungaho, Mercy; Ruranduma, C; Ugen, M; Kidane, T; Karanja, D; Mazuma, E; Musoni, A; Sefume, L; Meshac, Tsibingu I; Amane, M; Fourie, D; Dlamini, A; Andriamazaoro, H; Kilango, M; Kweka, O S; Mutari, B; Mumui, K; Asibuo, J; Ngueguim, M, 2017, "Common Bean variety releases in Africa", doi:10.7910/DVN/RPATZA, Harvard Dataverse, V1, UNF:6:+EGFMcJ1qpiLp9z2Zqxsbw==
The Pan Africa Bean Research Alliance is a network of national agricultural research centers (NARS), and private and public sector institutions that work to deliver better beans with consumer and market preferred traits to farmers. The datasets presented here draw from 17 Sub Sah...
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