CIMMYT Research Data & Software Repository Network

Contributor Name: CGIAR Research Program on Wheat (WHEAT) Author Name: Singh, Ravi Keyword Term: Triticum aestivum Publication Date: 2018 Contributor Name: Genetic Resources Program (GRP) Author Name: Basnet, Bhoja Raj Contributor Name: Syngenta Geographic Coverage Country / Nation: Mexico Author Name: Murua, Mercedes

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Dataset / Software Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models 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

Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models

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...