251 to 260 of 276 Results
Gómez Escobar, Jairo Alejandro, 2020, "Design of a reference architecture for an IoT sensor network", https://doi.org/10.7910/DVN/MF5HUY, Harvard Dataverse, V2
The CGIAR Platform for Big Data in Agriculture led by the International Center for Tropical Agriculture (CIAT) intends to deploy an Internet of Things (IoT) sensor network in the CIAT’s campus of Palmira (Colombia) within two experimental fields having crops with rice, maize, cassava, and bean, where the high-throughput-phenotyping and the data-dri... |
Mar 27, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
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 - CIAT - International Center for Tropical Agriculture Dataverse
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. |
Mar 27, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
Raatz, Bodo; Beebe, Stephen, 2020, "Replication Data for: Bean experimental lines selected for tolerance to Drought, high temperatures, low P in the soil, high aluminum in the soil and high content of Fe / Zn in grain.", https://doi.org/10.7910/DVN/CDBHQW, Harvard Dataverse, V1, UNF:6:NHJciOBk9XK3behaGOqAJw== [fileUNF]
Bean experimental lines selected for tolerance to Drought, high temperatures, low P in the soil, high aluminum in the soil and high content of Fe / Zn in grain. These lines will be sent to collaborators in Central America and Africa to be evaluated under their local conditions. Yield in Kg / Ha and Fe / Zn content in mg / Kg were evaluated. |
Mar 24, 2020 - CIAT - International Center for Tropical Agriculture Dataverse
Keller, Beat; Ariza-Suarez, Daniel; De la Hoz, Juan; Aparicio, Johan Steven; Portilla Benavides, Ana Elisabeth; Buendia, Hector Fabio; Mayor, Victor Manuel; Studer, Bruno; Raatz, Bodo, 2020, "Replication Data for: Genomic prediction of agronomic traits in common bean under environmental stress", https://doi.org/10.7910/DVN/XCD67U, Harvard Dataverse, V1, UNF:6:2ucpalum7jucY0dQs56Z3A== [fileUNF]
These datasets contain phenotypic and genotypic data of a panel of elite Andean breeding lines of common bean (Phaseolus vulgaris L.) from CIAT. This population has been tested in twelve yield trials carried out in Palmira and Darien (Colombia) between 2013 and 2018 to assess its performance under irrigated, drought and variable soil P conditions.... |
Paul, Birthe K.; Nzolega, Beatus; Buyegi, George, 2020, "Feed gap assessment in Tanzania Southern Highlands through Improved Forages And Feeding Strategies Project", https://doi.org/10.7910/DVN/MU3IAL, Harvard Dataverse, V1, UNF:6:qUZctho+50oAZLhorgfE6Q== [fileUNF]
Feedgap assessment aims to collect empirical data on feeding quantities and practices in Tanzania. It is standard data collection tool (Excel) has been previously developed for Tanzania, and adjusted after a workshop with TALIRI and CIAT. It is constituted of empirical feed and milk measurements and labour observations, feed sub-sampling, as well a... |
Feb 25, 2020
Kihara, Job; Okeyo, Jeremiah; Bolo, Peter; Kinyua, Michael, 2020, "Non-responsiveness of crops to fertilizers under some soils in sub-Saharan Africa", https://doi.org/10.7910/DVN/GXUNAZ, Harvard Dataverse, V2, UNF:6:iU5IhV2OFjxYzpvvZ9waJA== [fileUNF]
Low productivity of agriculture observed in different parts of sub-Saharan Africa is threatening food security in the region. Decades of production with mostly application of small amounts of inorganic fertilizers (mostly macronutrients) and scarce organic resources in the context of integrated soil fertility management (ISFM) result in nutrient mi... |
Feb 20, 2020
Namirembe, Sara; Piikki, Kristin; Sommer, Rolf; Söderström, Mats; Tessema, Bezaye; Nyawira, Sylvia, 2020, "Soil organic carbon in agricultural systems of six countries in East Africa – a literature review of status and carbon sequestration potential", https://doi.org/10.7910/DVN/3BLW7E, Harvard Dataverse, V1, UNF:6:71y6MDbG+DW7wJ5QMhOBbw== [fileUNF]
A systematic literature review of existing evidence on soil organic carbon (SOC) responses to agronomic best management practices (BMPs) in cultivated soils of East Africa, focusing on Ethiopia, Kenya, Rwanda, Tanzania, Uganda, and Burundi. Examining current evidence on the extent to which BMPs can increase SOC stocks and whether net SOC sequestrat... |
Ng’ang’a, Stanley Karanja; Gelaw, Fekadu; Nguru, Wilson Maina; Magambo Kanyenji, George; Girvetz, Evan, 2019, "An integrated approach for understanding the factors that facilitate or constrain the adoption of soil carbon enhancing practices in East Africa, Kenya and Ethiopia.", https://doi.org/10.7910/DVN/QTACSN, Harvard Dataverse, V2, UNF:6:QylSu4/e8WVwzG4hFDpHyQ== [fileUNF]
The survey data on soil carbon enhancing practices in Ethiopia is systematically organized in Microsoft Excel tables. The data entails general household characteristics, plot characteristics, crops grown, yield, practices implemented, inputs, livestock ownership, social capital, access to credit, access to extension services. |
Feb 10, 2020
Notenbaert, An; Kihoro, Esther; Osele, Vivien; Nzolega, Beatus; Mukiri, Jessica; Nyakundi, Fridah; Crane, Todd, 2020, "Socio-economic baseline survey of selected households for Climate-Smart Dairy systems (CSD) in East Africa through improved forages and feeding strategies project", https://doi.org/10.7910/DVN/9GBKPW, Harvard Dataverse, V1, UNF:6:SLZfB77nPWCOjwP5qL5vFA== [fileUNF]
IFAD CSD baseline dataset contains detailed information about household composition, production systems and activities, land and labour allocation, income from on-farm and off-farm activities, household consumption of food, and assets, land ownership and allocation of activities, with an emphasis on livestock production activities, livestock feedin... |
