Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

83,725 Downloads
Featured Repositories

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

Publish Dataverse

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

Cannot 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.

Find Advanced Search

1 to 10 of 11 Results
Dataset / Software
Sep 21, 2015 - CIMMYT Research Data
Montesinos-López, Osval Antonio; Montesinos-López, Abelardo; Crossa, José; Burgueño, Juan; Eskridge, Kent, 2015, "Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression", hdl:11529/10254, CIMMYT Research Data & Software Repository Network, V5
Most genomic-enabled prediction models developed so far assume that the response variable is continuous and normally distributed. The exception is the probit model developed for ordered categorical phenotypes. In statistical applications, due to the easy implementation of the Bay...
Dataset / Software
Sep 21, 2015 - CIMMYT Research Data
Crossa, José; Campos, Gustavo de los; Maccaferri, Marco; Tuberosa, Roberto; Burgueño, Juan; Pérez-Rodríguez, Paulino, 2015, "Extending the Marker × Environment Interaction Model for Genomic-Enabled Prediction and Genome Wide Association Analyses in Durum Wheat", hdl:11529/10233, CIMMYT Research Data & Software Repository Network, V6
The marker × environment interaction (M×E) genomic model can be used to generate predictions for untested individuals and identify genomic regions whose effects are stable across environments and others that show environmental specificity. The objectives of this study were: (1) t...
Dataset / Software
Jan 25, 2016 - CIMMYT Research Data
Jarquín, Diego; Pérez-Elizalde, Sergio; Burgueño, Juan; Crossa, José, 2015, "A Hierarchical Bayesian Estimation Model for Multi-Environment Plant Breeding Trials in Successive Years", hdl:11529/10463, CIMMYT Research Data & Software Repository Network, V2
In agriculture and plant breeding, multi-environment trials over multiple years are conducted to evaluate and predict genotypic performance under different environmental conditions, and to analyze, study, and interpret genotype × environment interaction (G×E). In this study, we p...
Dataset / Software
Mar 8, 2016 - CIMMYT Research Software
Alvarado, Gregorio; Cerón, Jesús; Crossa, José; Burgueño, Juan, 2015, "SI-SAS. A SAS Code to Calculate Several Selection Indexes", hdl: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...
Dataset / Software
Jul 20, 2016 - CIMMYT Research Data
Montesinos-López, Osval Antonio; Montesinos-López, Abelardo; Crossa, José; Campos, Gustavo de los; Alvarado, Gregorio; Mondal, Suchismita; Rutkoski, Jessica; Pérez-González, Lorena; Burgueño, Juan, 2016, "Prediction models for canopy hyperspectral reflectance in wheat breeding data", hdl:11529/10693, CIMMYT Research Data & Software Repository Network, V1
Vegetation indices (VI) generated by using some bands from hyperspectral cameras are used as predictors of primary traits. This study proposes models that use all available bands as predictors of primary traits. The proposed models were ordinal least square (OLS), Bayes B, princi...
Dataset / Software
Sep 12, 2016 - CIMMYT Research Data
Cuevas, Jaime; Crossa, José; Montesinos-López, Osval Antonio; Burgueño, Juan; Pérez-Rodríguez, Paulino; Campos, Gustavo de los, 2016, "Bayesian genomic prediction with genotype × environment interaction kernel models", hdl:11529/10710, CIMMYT Research Data & Software Repository Network, V1
The phenomenon of genotype × environment (G×E) interaction in plant breeding decreases selection accuracy, thereby negatively affecting genetic gains. Several genomic prediction models incorporating G×E have been recently developed and used in genomic selection of plant breeding...
Dataset / Software
Jul 11, 2018 - CIMMYT Research Software
Rodríguez, Francisco; Alvarado, Gregorio; Pacheco, Ángela; Crossa, José; Burgueño, Juan, 2015, "AGD-R (Analysis of Genetic Designs with R for Windows) Version 5.0", hdl:11529/10202, CIMMYT Research Data & Software Repository Network, V13
A major objective of biometrical genetics is to explore the nature of gene action in determining quantitative traits. This also includes determination of the number of major genetic factors or genes responsible for the traits. Diallel Mating Designs have been designed to deal wit...
Dataset / Software
Jul 11, 2018 - CIMMYT Research Software
Pacheco, Ángela; Vargas, Mateo; Alvarado, Gregorio; Rodríguez, Francisco; Crossa, José; Burgueño, Juan, 2015, "GEA-R (Genotype x Environment Analysis with R for Windows) Version 4.1", hdl:11529/10203, CIMMYT Research Data & Software Repository Network, V16
In agricultural experimentation, a large number of genotypes are normally tested over a wide range of environments. The occurrence of the genotype (G) X environment (E) interaction (GEI) effect further complicates the selection of superior genoty pes for a target population of en...
Dataset / Software
Jul 16, 2018 - CIMMYT Research Software
Makumbi, Dan; Alvarado, Gregorio; Crossa, José; Burgueño, Juan, 2018, "Program and sample data for SASHAYDIALL: A SAS Program for Hayman’s Diallel Analysis", hdl:11529/10548045, CIMMYT Research Data & Software Repository Network, V4, UNF:6:qb2UIHULo/KZ3V04rm33PA==
SASHAYDIALL is a code written in SAS to perform diallel analysis according to the method of Hayman (1954). The SASHAYDIALL program was written in SAS/IML and runs in SAS version 9.0 or higher. The SASHAYDIALL program requires an input ‘csv’ format data file that has replication,...
Dataset / Software
Nov 9, 2018 - CIMMYT Research Data
Granato, Italo; Cuevas, Jaime; Luna, Francisco; Crossa, José; Burgueño, Juan; Fritsche-Neto, Roberto, 2018, "BGGE: A new package for genomic prediction incorporating genotype by environments models", hdl:11529/10548107, CIMMYT Research Data & Software Repository Network, V5
One of the major issues in plant breeding is the occurrence of genotype by environment (GE) interaction. Several models have been created to understand this phenomenon and explore it by selecting the most stable genotypes. In the genomic era, several models were employed to simul...
Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

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.

Contact CIMMYT Research Data & Software Repository Network Support

CIMMYT Research Data & Software Repository Network Support

Please fill this out to prove you are not a robot.

+ =
Send Message