771 to 780 of 952 Results
Jun 25, 2018
Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at El Batan CIMMYT Office", https://hdl.handle.net/11529/10548094, CIMMYT Research Data & Software Repository Network, V2, UNF:6:pFGjoUSmb+Oel+7eKwyEiA== [fileUNF]
CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai... |
Mottaleb, Khondoker; Sonder, Kai; Singh, Pawan Kumar; Kruseman, Gideon; Erenstein, Olaf, 2018, "Wheat blast: averting wheat blast in India", https://hdl.handle.net/11529/10548091, CIMMYT Research Data & Software Repository Network, V1, UNF:6:JoWKROlLzS5+XgRInWwcMw== [fileUNF]
The emergence of wheat-blast disease in Bangladesh in the 2015-16 wheat (Triticum aestivum) crop threatens the food security of South Asia. As wheat is the second most important staple and India has been emerging as a net wheat exporter, a potential spread of the disease from Ban... |
Jun 14, 2018
Hearne, Sarah; Sonder, Kai; Wilson, Julien, 2018, "SeeD GWAS Panel Accession Collection Site GIS-Derived Environmental Data", https://hdl.handle.net/11529/10548079, CIMMYT Research Data & Software Repository Network, V1
Historic accession collection site environmental data derived from CRU and other data resources. |
Jun 13, 2018
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Gianola, Daniel; Crossa, Jose, 2018, "Deep learning genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548082, CIMMYT Research Data & Software Repository Network, V1
Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (... |
Jun 7, 2018
Sapkota, Tek B.; Aryal, Jeetendra P.; Khatri-Chhetri, Arun; Shirsath, Paresh B; Arumugam, Ponraj; Stirling, Clare M., 2018, "Identifying high-yield low-emission pathways for the cereal production in South Asia", https://hdl.handle.net/11529/10548077, CIMMYT Research Data & Software Repository Network, V2, UNF:6:5kNA+QcDnMGOgK0NnR9nyQ== [fileUNF]
Household survey was conducted by International Maize and Wheat Improvement Centre (CIMMYT) as part of CGIAR research program on Climate Change Agriculture and Food Security (CCAFS) in Karnal district of Haryana state and Vaishali district of Bihar state in India. The overall aim... |
Chamberlin, Jordan; Masuki, Kenneth; Karwani, George; Nord, Alison; Simbogoso, Violeth; Craufurd, Peter; Snapp, Sieglinde; Jayne, T. S.; Mushongi, Arnold; Magoye, Lameck, 2018, "TAMASA Tanzania. Agronomy Panel Survey (APS) 2017. Household data", https://hdl.handle.net/11529/10548038, CIMMYT Research Data & Software Repository Network, V1, UNF:6:Ue7Wzl1anaQvGzHTwaVh1w== [fileUNF]
The 2017 Agronomy Panel Survey (APS) for Tanzania is the second wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). Th... |
Chamberlin, Jordan; Masuki, Kenneth; Karwani, George; Nord, Alison; Simbogoso, Violeth; Craufurd, Peter; Snapp, Sieglinde; Jayne, T. S.; Mushongi, Arnold; Magoye, Lameck, 2018, "TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Household data", https://hdl.handle.net/11529/10548039, CIMMYT Research Data & Software Repository Network, V1, UNF:6:28Iw+2j3K6Syt3k+WBUuYQ== [fileUNF]
The 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The... |
Apr 17, 2018
Banchayehu, A.; Chamberlin, J.; Craufurd, P.; Balemi, T.; Gurumu, G., 2018, "TAMASA Ethiopia. Agronomy Panel Survey 2016. Household data; Focal plot", https://hdl.handle.net/11529/10548032, CIMMYT Research Data & Software Repository Network, V1
APS consists of household- and plot-level data on 336 households in maize-growing areas of Jimma and Bako zones. This dataset consists of information about characteristics, agronomic history, input and management of the focal plot. dataset variables observations focal_plot_merged... |
Apr 17, 2018
Banchayehu, Assefa; Chamberlin, Jordan; Craufurd, Peter; Gurumu, G; Balemi, Tesfaye, 2018, "TAMASA Ethiopia. Agronomy Panel Survey 2016. Household data; Belg production and inputs", https://hdl.handle.net/11529/10548031, CIMMYT Research Data & Software Repository Network, V1
APS consists of household- and plot-level data on 336 households in maize-growing areas of Jimma and Bako zones. This dataset consists of information about Belg production and inputs in 2016. dataset variables observations belg_production_2016 30 357 belg_input_cost 9 696 belg_fa... |
Apr 17, 2018
Banchayehu, Assefa; Chamberlin, Jordan; Craufurd, Peter; Balemi, Tesfaye; Gurumu, G, 2018, "TAMASA Ethiopia. Agronomy Panel Survey 2016. Household data: Meher production and inputs.", https://hdl.handle.net/11529/2198058, CIMMYT Research Data & Software Repository Network, V1
APS consists of household- and plot-level data on 336 households in maize-growing areas of Jimma and Bako zones. This dataset consists of information about Meher production and inputs in 2016. dataset variables observations characterstics_all_plots_2016 18 2504 production_and_fam... |
