Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

83,696 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 20 Results
Dataset / Software
Aug 15, 2019 - CIMMYT Research Software
Alvarado, Gregorio; López, Marco; Vargas, Mateo; Pacheco, Ángela; Rodríguez, Francisco; Burgueño, Juan; Crossa, José, 2015, "META-R (Multi Environment Trail Analysis with R for Windows) Version 6.04", hdl:11529/10201, CIMMYT Research Data & Software Repository Network, V22
META-R is a set of R programs that performs statistical analyses to calculate BLUEs, BLUPs, genetic correlations among locations and genetic correlations between variables, broad-sense heritability, and other statistics for breeding trials are given too, in order to make boxplots...
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...
Dataset / Software
Nov 8, 2018 - CIMMYT Research Data
Montesinos-López, Osval A; Montesinos-López, Abelardo; Crossa, José; Kismiantini; Ramírez-Alcaraz, Juan Manuel , 2018, "A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model", hdl:11529/10547920, CIMMYT Research Data & Software Repository Network, V2
In this paper, we propose a two-stage analysis for multiple-trait data; in the first stage, we perform a singular value decomposition (SVD) on the resulting matrix of traits responses, and in the second stage, multiple trait analysis on transformed responses is performed. We use...
Dataset / Software
Sep 21, 2018 - CIMMYT Research Data
Basnet, Bhoja Raj; Crossa, José; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi ; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", hdl:11529/10548129, CIMMYT Research Data & Software Repository Network, V1
Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...
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
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 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
Nov 11, 2016 - CIMMYT Research Data
Sukumaran, Sivakumar; Crossa, José; Jarquín, Diego; Lopes, Marta; Reynolds, Matthew P., 2016, "Genomic and pedigree prediction with genotype × environment interaction in spring wheat grown in South and Western Asia, North Africa, and Mexico", hdl:11529/10714, CIMMYT Research Data & Software Repository Network, V2
Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines...
Dataset / Software
Nov 3, 2016 - CIMMYT Research Software
Montesinos-López, Osval Antonio; Montesinos-López, Abelardo; Crossa, José; Toledo, Fernando; Pérez-Hernández, Óscar; Eskridge, Kent M.; Rutkoski, Jessica, 2016, "A Genomic Bayesian Multi-trait and Multi-environment Model", hdl: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...
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...
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