Free, open access repository of research studies developed by CIMMYT scientists.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

8,311 to 8,320 of 10,613 Results
Pathways to sustainable intensification in Eastern and Southern Africa - Tanzania 2010
Nov 1, 2017
Marenya, Paswel; Kassie, Menale; Mishili, Fulgence; Muricho, Geoffrey; Alemu, Solomon, 2016, "Pathways to sustainable intensification in Eastern and Southern Africa - Tanzania 2010", https://hdl.handle.net/11529/10754, CIMMYT Research Data & Software Repository Network, V6, UNF:5:9WEmmKTxcO0aea6DEqDLng== [fileUNF]
The survey targeted two maize-legume based farming systems in the eastern and northern zones of Tanzania. In the eastern zone the survey target two districts; Kilosa and Mvomero. While in the northern zone the study focused on Mbulu and Karatu districts. A combination of purposiv...
Pathways to sustainable intensification in Eastern and Southern Africa - Ethiopia 2010
Nov 1, 2017
Marenya, Paswel; Kassie, Menale; Yirga, Chilot; Muricho, Geoffrey; Alemu, Solomon, 2016, "Pathways to sustainable intensification in Eastern and Southern Africa - Ethiopia 2010", https://hdl.handle.net/11529/10746, CIMMYT Research Data & Software Repository Network, V9, UNF:5:V0CEidFiQHCiz394KGkx2A== [fileUNF]
A multi-stage sampling was employed to identify households. In the first stage 9 districts (five form Oromyia region, three from SNNP region and one from Benshangul region) were selected purposely. Accordingly, Bako Tibe, Gubuesyo, Shalla, Dudga, Adami Tullu, Mesrak Badawacho, Me...
Pathways to sustainable intensification in Eastern and Southern Africa - Kenya 2011
Nov 1, 2017
Marenya, Paswel; Kassie, Menale; Obare, Gideon; Muricho, Geoffrey; Alemu, Solomon, 2016, "Pathways to sustainable intensification in Eastern and Southern Africa - Kenya 2011", https://hdl.handle.net/11529/10761, CIMMYT Research Data & Software Repository Network, V9, UNF:5:wklpijaADhOSTdR2rKb5mg== [fileUNF]
Based on the data collected during the reconnaissance survey, a total of five districts were selected for the baseline survey. Two districts were from western Kenya region (Bungoma and Siaya) and three districts from eastern Kenya region (Embu, Meru South and Imenti South). A tot...
Pathways to sustainable intensification in Eastern and Southern Africa - Malawi 2010
Nov 1, 2017
Marenya, Paswel; Kassie, Menale; Mangisoni, Julius; Muricho, Geoffrey; Alemu, Solomon, 2016, "Pathways to sustainable intensification in Eastern and Southern Africa - Malawi 2010", https://hdl.handle.net/11529/10759, CIMMYT Research Data & Software Repository Network, V8, UNF:5:uXU5D4MHcJxlIa8VI3x/LA== [fileUNF]
Using purposive sampling, the central and Southern regions were selected. The Central region transcends from high to low altitude while the Southern region is predominantly a low altitude area. Maize is extensively grown in both regions with groundnuts and haricot beans being the...
Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Oct 10, 2017
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Montesinos-López, José Cricelio; Mota-Sanchez, David; Estrada-Gonzalez, Fermin; Gilberg, Jussi; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin, 2017, "Prediction of multiple-trait and multiple-environment genomic data using recommender systems", https://hdl.handle.net/11529/11099, CIMMYT Research Data & Software Repository Network, V2
In genomic-enabled prediction, the task of improving the accuracy of the prediction of lines in environments is difficult because the available information is generally sparse and usually has low correlations between traits. In current genomic selection, while researchers have a...
Data.Trigo.RData
Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 19.1 KB - MD5: f543faa4b1f3c7b38397ae6e5309da2d
Phenotypic data
Phenotypic wheat data
Gg.RData
Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 369.0 KB - MD5: 6a64605058cc14524a8bf9a0c96b6025
Genotypic data
Genotypic maize data
G.Trigo.RData
Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 451.4 KB - MD5: bbbc8321e114ab9d957ccfd220ace5be
Genotypic data
Genotypic wheat data
Large_Wheat_data.RData
Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 380.1 KB - MD5: f2bbc7f000c4b5437f5191a0b51693e7
Phenotypic data
Large phenotypic wheat data
Maize_data.RData
Oct 10, 2017 - Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Unknown - 7.5 KB - MD5: 93f6462433c6f1f0f693820679f71ea9
Phenotypic data
Phenotypic maize data
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.