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Replication Data for: Multi-trait Bayesian decision for parental selection

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title Replication Data for: Multi-trait Bayesian decision for parental selection
 
Identifier https://hdl.handle.net/11529/10548420
 
Creator Villar-Hernández, Bartolo de Jesús
Crossa, Jose
Pérez-Elizalde, Sergio
García-Calvillo, Irma Delia
Toledo, Fernando
Pérez-Rodríguez, Paulino
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description The files included in this study contains the data used with three promising multivariate loss functions: Kullback-Leibler (KL); the Energy Score; and the Multivariate Asymmetric Loss (MALF); to select the best performing parents for the next breeding cycle in two extensive real wheat data sets.
 
Subject Agricultural Sciences
Triticum aestivum
Genomic selection
Loss Function
Multi-trait selection
Parental selection
Wheat multi-trait data
Wheat
 
Language English
 
Date 2020-05-02
 
Contributor Dreher, Kate
United States Agency for International Development (USAID)
Bill and Melinda Gates Foundation (BMGF)
Genetic Resources Program (GRP)
Biometrics and Statistics Unit (BSU)
Global Wheat Program (GWP)
CGIAR Research Program on Maize (MAIZE)
CGIAR Research Program on Wheat (WHEAT)
CGIAR
Foundation for Research Levy on Agricultural Products (FFL)
Agricultural Agreement Research Fund (JA)
Cornell University
Kansas State University
 
Type Dataset