Free, open access repository of research software produced and 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

71 to 80 of 82 Results
Nov 3, 2016
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Toledo, Fernando; Pérez-Hernández, Óscar; Eskridge, Kent; Rutkoski, Jessica, 2016, "A Genomic Bayesian Multi-trait and Multi-environment Model", https://hdl.handle.net/11529/10646, CIMMYT Research Data & Software Repository Network, V4
When plant scientists record information on multiple genotypes evaluated in multiple environments, a multi-environment single trait for assessing genotype × environment interaction (G×E) model is usually employed. Comprehensive models that simultaneously take into account the cor...
Unknown - 752.6 KB - MD5: 25aeb1392abc4fa975c56149fe439651
Unknown - 6.6 KB - MD5: 97a610a51a111b780accbdc7facc1f8f
Unknown - 19.1 KB - MD5: f543faa4b1f3c7b38397ae6e5309da2d
Unknown - 369.0 KB - MD5: 6a64605058cc14524a8bf9a0c96b6025
Unknown - 451.4 KB - MD5: bbbc8321e114ab9d957ccfd220ace5be
Mar 8, 2016
Vargas, Mateo; Combs, Emily; Alvarado, Gregorio; Atlin, Gary; Crossa, José, 2015, "META-SAS: A Suite of SAS Programs to Analyze Multienvironment", https://hdl.handle.net/11529/10217, CIMMYT Research Data & Software Repository Network, V4
Multienvironment trials (METs) enable the evaluation of the same genotypes under a v ariety of environments and management conditions. We present META (Multi Environment Trial Analysis), a suite of 31 SAS programs that analyze METs with complete or incomplete block designs, with...
Mar 8, 2016
Alvarado, Gregorio; Cerón, Jesús; Crossa, Jose; Burgueño, Juan, 2015, "SI-SAS. A SAS Code to Calculate Several Selection Indexes", https://hdl.handle.net/11529/10242, CIMMYT Research Data & Software Repository Network, V4
SI-SAS is a code written in SAS to produce several selection indexes. To run the code you have to have SAS 9.2 or higher installed in your computer. The first task is to change the folder where the data file to analyze is located and the name of the file. The data file must be in...
Unknown - 1.8 MB - MD5: 5dd7865735dd8ec45f6c0e03bc95c720
First release. To use the codes unzip the file in any location, open R and open the code in R
Plain Text - 42.7 KB - MD5: 9b0969458065bb81757e2ced5560db9e
Example data file
Add Data

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

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.