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1 to 10 of 20 Results
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
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
Sep 14, 2015 - CIMMYT Research Data
Pérez-Elizalde, Sergio; Cuevas, Jaime; Pérez-Rodríguez, Paulino; Crossa, José, 2015, "Selection of The Bandwidth Parameter in a Bayesian Kernel Regression Model for Genomic-Enabled Prediction", hdl:11529/10234, CIMMYT Research Data & Software Repository Network, V8
One of the most widely used kernel functions in genomic-enabled prediction is the Gaussian kernel. Usually selection of the bandwidth parameter for kernel regression is based on cross-validation. In this study, we propose a Bayesian method for selecting the bandwidth parameter h...
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 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
Mar 8, 2016 - CIMMYT Research Software
Vargas, Mateo; Combs, Emily; Alvarado, Gregorio; Atlin, Gary; Crossa, José, 2015, "META-SAS: A Suite of SAS Programs to Analyze Multienvironment", hdl: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...
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
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
Dec 18, 2015 - CIMMYT Research Data
Cuevas, Jaime; Crossa, José; Soberanis, Víctor; Pérez-Elizalde, Sergio; Pérez-Rodríguez, Paulino; Campos, Gustavo de los, 2015, "Genomic Prediction of Marker × Environment Interaction Kernel Regression Models", hdl:11529/10580, CIMMYT Research Data & Software Repository Network, V1
The marker × environment interaction (M×E) decomposes the marker effects into main effects and interaction environmental-specific effects. The M×E interaction may be modeled through a linear kernel (Genomic Best Linear Unbiased Predictor, GBLUP) or with non-linear Gaussian kernel...
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...
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