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1 to 10 of 11 Results
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
Jul 11, 2018 - 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 6.03", hdl:11529/10201, CIMMYT Research Data & Software Repository Network, V21
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
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
Feb 15, 2016 - CIMMYT Research Data
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Crossa, Jose; Burgueño, Juan; Eskridge, Kent M.; Falconi, Esteban; Singh, Pawan; He, Xinyao, 2015, "Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction", hdl:11529/10575, CIMMYT Research Data & Software Repository Network, V2
Genomic tools allow the study of the whole genome and are facilitating the study of genotype-environment combinations and their relationship with the phenotype. However, most genomic prediction models developed so far are appropriate for Gaussian phenotypes. For this reason, appr...
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
Dec 20, 2015 - CIMMYT Seeds of Discovery
Willcox, Martha; Guadarrama Espinoza, Armando; Chepetla Calderon, Daniel; Sanchez, Ciro; Burgueño, Juan, 2015, "Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México", hdl:11529/10565, CIMMYT Research Data & Software Repository Network, V1
Testcrosses generated using accessions from the CIMMYT Maize Germplasm Bank were planted in soils with low and optimal levels of nitrogen, however several experimental factors may have affected the level of nitrogen available to the plants in the two fields. First, the low nitrog...
Dataset / Software
Nov 27, 2015 - CIMMYT Seeds of Discovery
Willcox, Martha; Guadarrama Espinoza, Armando; Chepetla Calderon, Daniel; Rodriguez Chanona, Enrique; Burgueño, Juan, 2015, "Evaluation of Adaptation to Low Soil Nitrogen Levels in 2012 in El Batán, México", hdl:11529/10531, CIMMYT Research Data & Software Repository Network, V1
Testcrosses generated using highland accessions from the CIMMYT Maize Germplasm Bank were evaluated in soils with low and optimal levels of nitrogen. The raw, uncurated data are presented in this study.
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...
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