21 to 30 of 214 Results
Nov 14, 2019
Ng’ang’a, Stanley Karanja; George Magambo, Kanyenji; Jalang'o, Dorcas Anyango; Nguru, Wilson Maina; Girvetz, Evan, 2019, "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, specifically Western Kenya", https://doi.org/10.7910/DVN/HE6CEM, Harvard Dataverse, V1, UNF:6:om/f64xtd6qsDZoePzqR0g== [fileUNF]
The survey data on soil carbon enhancing practices in western Kenya is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, practices implemented, yield, inputs, livestock ownership, social capital, access to credit, access to extension services and sources of income. |
Nov 7, 2019
Khoury, Colin K.; Carver, Daniel; Barchenger, Derek W.; Barboza, Gloria E.; Van Zonneveld, Maarten; Jarret, Robert L; Bohs, Lynn; Kantar, Michael B; Uchanski, Mark; Mercer, Kristin; Nabhan, Gary Paul; Bosland, Paul W.; Greene, Stephanie L., 2019, "Modelled distributions and conservation status of the wild relatives of Chile peppers (Capsicum L.)", https://doi.org/10.7910/DVN/618CO4, Harvard Dataverse, V1, UNF:6:ocGFwqfUSWTaynH1oraltw== [fileUNF]
Occurrence data, processed ecogeographic data, interactive taxon-level modeling and conservation status results and metrics, and journal article supplementary figures and tables, for Khoury CK, Carver D, Barchenger DW, Barboza G, van Zonneweld M, Jarret R, Bohs L, Kantar MB, Uchanski M, Mercer K, Nabhan GP, Bosland PW, and Greene SL (2019) Modelled... |
Nov 5, 2019
Bunn, Christian; Lundy, Mark; Castro-Llanos, Fabio, 2018, "Replication Data for: The impact of climate change on coffee production in Central America", https://doi.org/10.7910/DVN/9QUGUR, Harvard Dataverse, V2
This data is a series of maps of Central American countries that specify the agro-ecological distribution suitable for coffee cultivation and show the impact gradient by indicating the change of the suitable agro-ecological zones, with the purpose of helping increase the private sector engagement in Climate Smart Agriculture in the region and provi... |
Oct 4, 2019 - Africa RISING Dataverse
International Center for Tropical Agriculture (CIAT), 2019, "Soil Property Data for Four Africa RISING Sites in Ethiopia", https://doi.org/10.7910/DVN/UWLK83, Harvard Dataverse, V1, UNF:6:ihC0tcqwQnI3qU09VfOI8A== [fileUNF]
The data included in this study were collected to assess the health of the soil at four Africa RISING sites: Basona, Michew, Jawe, and Sinana. The data were collected following land degradation surveillance framework (LDSF) whereby within a 10km by 10km sites, we considered 16 clusters of 1km by 1km and within each cluster we have 0.1 ha plots, wit... |
Oct 3, 2019 - Africa RISING Dataverse
International Center for Tropical Agriculture (CIAT); International Livestock Research Institute (ILRI); Mekelle University, 2019, "Land Degradation Surveillance Framework Based Data", https://doi.org/10.7910/DVN/MQQLBX, Harvard Dataverse, V1, UNF:6:NDVVjob1t5GR3MXyDcvucg== [fileUNF]
The data included in this study were collected as a part of 'situation analysis' based on landscape characteristics and condition. The data were collected in four Africa RISING sites—Basona, Michew, Jawe, and Sinana—across four regions simultaneously with the soil sampling exercise. |
Sep 17, 2019
Ng’ang’a, Stanley Karanja; Mwungu, Chris M; Miller, Vail; Essegbey, George; Karbo, Naaminong; Botchway, Vincent Ansah; Nautsukpo, Delali; Kingsley, Sam; Girvetz, Evan, 2018, "Survey data on cost and benefit analysis for climate-smart agricultural (CSA) in the Coastal Savannah Agro-ecological Zone of Ghana", https://doi.org/10.7910/DVN/Q6BO6Q, Harvard Dataverse, V3, UNF:6:lHvb8OTFZgtmPVdcNdhpWQ== [fileUNF]
This repository contains survey data on cost-benefit analysis of climate-smart agricultural practices in Coastal Savannah Agro-ecological Zone of Ghana. The data is organized in tables using Microsoft Excel. The Tables contains general information, site characteristics, household respondents type, the trend in physical productivity for the business... |
Aug 14, 2019
Jimenez, Daniel; Delerce, Sylvain Jean; Dorado, Hugo Andres; Cock, James; Muñoz, Luis Armando; Agamez, Alejandro; Jarvis, Andy, 2019, "Cropping events of maize in Cordoba-Colombia", https://doi.org/10.7910/DVN/LSDQ5C, Harvard Dataverse, V1, UNF:6:iPR/OupHUtRTbutlwKrfeA== [fileUNF]
The data represent 804 cropping events of maize planting in Córdoba - Colombia from 2013 to 2016. Each cropping event has information on climate, soil, and agronomic management. The data was collected with the aim of determining the factors that affect the variation in the yield of maize. The dataset was created through a collaboration project amon... |
Aug 9, 2019 - Sustainable Productivity Enhancement
Saito, Kazuki; Laborte, Alice; Graterol Matute, Eduardo Jose, 2019, "Global Upland Rice Area 2019", https://doi.org/10.7910/DVN/2DPRHE, Harvard Dataverse, V1
Estimates of total and upland rice cultivation areas in Africa, Asia and Latin America |
Aug 6, 2019
Mukiri, Jessica; Diogo, Rodrigue V.; Gbedjissokpa, Sènami G.; Kinyua, Michael; Van der Hoek, Rein; Paul, Birthe; Sommer, Rolf, 2019, "CROSST - Version 1.0.1", https://doi.org/10.7910/DVN/86009C, Harvard Dataverse, V1
CROSST is an Excel-based tool that assesses both agro-environmental and socio-economic impacts of Green Manure Cover Crop (GMCC) technologies. The tool quantifies gross economic margin, productivity (yield), soil health (N and P balances, soil structure, and soil organic carbon), required labor hours, and the trade-offs between these indicators. Th... |
Aug 6, 2019
International Center for Tropical Agriculture, 2019, "Cassava Diseases Evaluation - Edaphoclimatic Zone 4: Medium Altitude Tropics", https://doi.org/10.7910/DVN/KM8CQG, Harvard Dataverse, V2, UNF:6:Rsf156VIf65WhefNBtepVg== [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... |