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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41 to 50 of 214 Results
May 23, 2019
Bolo, Peter; Ayuke, Fredrick; Kinyua, Michael; Kihara, Job, 2019, "Replication Data for: Soil Biological Indices in Short and Long-Term Experiments in Kenya", https://doi.org/10.7910/DVN/4GVGAP, Harvard Dataverse, V1, UNF:6:Fh87DsOyH8ipcaZEWNEeyg== [fileUNF]
Improving soil health by utilizing the appropriate tillage, cropping systems and soil management practices is important for enhanced soil quality and agricultural productivity. Of key importance is effect of these factors on the persistence of soil faunal diversity, biomass and their performance in the soil. Studies on the interactive effects of ti...
May 22, 2019
Bunn, Christian; Lundy, Mark; Castro-Llanos, Fabio, 2019, "Replication Data for: The impact of climate change on cacao production in Central America and the Caribbean", https://doi.org/10.7910/DVN/QUKZTO, Harvard Dataverse, V2
These data correspond to the results of the agroclimatic zones of cocoa for the Central America and the Caribbean regions and per country. The data make reference to the ideal zones for cocoa production in three different periods of time (baseline 1970-2000, 2020 - 2049, 2040 - 2069), which allows us to know what would be the impact of climate chan...
May 21, 2019
Shikuku, Kelvin Mashisia; Pieters, Janneke; Bulte, Erwin; Läderach, Peter, 2019, "Replication Data for: Incentives and the Diffusion of Agricultural Knowledge: Experimental Evidence from Northern Uganda", https://doi.org/10.7910/DVN/4X7GLG, Harvard Dataverse, V1, UNF:6:3ouF2cUW3kmMSpIUkQ/8qg== [fileUNF]
We present results of a randomized evaluation that assesses the effects of different incentives for diffusion of agricultural knowledge by smallholders in northern Uganda. Randomly-selected disseminating farmers (DFs) from a large sample of villages are assigned to one of three experimental arms: (a) training about climate smart agriculture, (b) tr...
May 13, 2019
Nay, Michelle Maria; Raatz, Bodo; Studer, Bruno; Mukankusi, Clare Mugisha, 2019, "Replication Data for: Haplotypes at the Phg-2 locus are determining pathotype-specificity of angular leaf spot resistance in common bean", https://doi.org/10.7910/DVN/U2BAWN, Harvard Dataverse, V1, UNF:6:oFXgaT8PMQjzmFa53KML7w== [fileUNF]
Data on a study to identify angular leaf spot (ALS) resistant germplasm and genetic mapping of ALS resistance genes
May 3, 2019
Andriatsitohaina, Muthoni R; Nagadya, Resty; Okii, D; Obilil, Innocent; Mukankusi, Clare Mugisha; Chirwa, Rowland; Zulu, Rodah Morezio; Lungaho, Mercy; Ruranduma, C; Ugen, M; Kidane, T; Karanja, D; Mazuma, Elisa; Musoni, Augustine; Sefume, Lesole; Meshac, Tsibingul; Amane, Manuel; Fourie, Deidre; Dlamini, A; Andriamazaoro, H; Kilango, Micheal; Kweka, O S; Mutari, Bruce; Muimui, Kennedy; Asibuo, James; Ngueguim, Martin, 2017, "Common Bean variety releases in Africa", https://doi.org/10.7910/DVN/RPATZA, Harvard Dataverse, V2, UNF:6:dFcCSLxME19diUASzMuX3Q== [fileUNF]
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 Saharan countries that are members of PABRA. The dataset on released bean...
May 3, 2019
Ramirez Villegas, Julian; Jarvis, Andy; Touval, Jerome, 2014, "Analysis of threats to South American flora and its implications for conservation", https://doi.org/10.7910/DVN/25646, Harvard Dataverse, V5
Study: A set of seven threats to natural ecosystems derived from a previous study (Jarvis et al. 2010), combined with a dataset of occurrences from 16,339 species, and also with the World Database of Protected Areas were used to analyse the patterns of threats to flora in South America and its conservation. Data: Data tables with results of assessm...
May 3, 2019
Parsa, Soroush; Ortiz, Viviana; Vega, Fernando E, 2013, "Establishing Fungal Entomopathogens as Endophytes: Towards Endophytic Biological Control", https://doi.org/10.7910/DVN/YRNT5B, Harvard Dataverse, V5, UNF:6:Ae/KDqMXUKZl3Rki2K4QlA== [fileUNF]
Beauveria bassiana is a fungal entomopathogen with the ability to colonize plants endophytically. As an endophyte, B. bassiana may play a role in protecting plants from herbivory and disease. This protocol demonstrates two inoculation methods to establish B. Bassiana endophytically in the common bean (Phaseolus vulgaris), in preparation for subsequ...
May 3, 2019
Winowiecki, Leigh; Vågen, Tor Gunnar; Mulumuma, Janvier; Bashagaluke, Janvier; Vanlauwe, Bernard, 2015, "Land and Soil Health Assessment in the Maringa-Lopori-Wamba (MLW) Landscape, Djolu, Yamboyo, DRC as part of the CARPE Phase II-Sustainable Opportunities for Improving Livelihoods Project", https://doi.org/10.7910/DVN/28944, Harvard Dataverse, V5, UNF:6:YOBaPhV6QMxoPk2jMxx4lQ== [fileUNF]
During the Phase II of the SOIL project in the Maringa-Lopori-Wamba Landscape, a wide range of activities were implemented during the 2011- 2013 in order to develop and expand sustainable agriculture activities within the landscape. This report highlights the land and soil health assessment that was carried out to inform these and future activities...
Apr 27, 2019 - Harvard Dataverse
Maredia, Mywish K.; Robert Shupp; Fulgence Mishili; Byron Reyes; Paul Kusolwa; Abdul Kudra, 2019, "Willingness to Pay for Quality Seeds: Field Experimental and Survey Data, Tanzania Bean Study, 2015-16", https://doi.org/10.7910/DVN/D3PMCE, Harvard Dataverse, V1, UNF:6:L7nxA28czOky5zXDeE3Xrw== [fileUNF]
This dataset includes results of double blind field experiments and experimental auctions conducted with bean farmers in Tanzania to gauge the relative demand for four types of seed products--i.e., certified 1, certified 2, quality declared, and recycled seed. Files include data on: a) farmer rating of the four seed quality types planted in the far...
Apr 9, 2019
Notenbaert, An; Mukiri, Jessica; Van der Hoek, Rein; Paul, Birthe; Koge, Jessica; Birnholz, Celine, 2019, "CLEANED X - Version 2.0.1", https://doi.org/10.7910/DVN/G0G8IY, Harvard Dataverse, V1
This is the second version of CLEANED (Comprehensive Livestock Environmental Assessment for Improved Nutrition, a Secured Environment and Sustainable Development along Livestock and Fish Value Chains) Excel tool. This tool is a rapid ex-ante environmental impact assessment tool that allows users to explore multiple impacts of developing livestock v...
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