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Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction
 
Identifier https://hdl.handle.net/11529/10548552
 
Creator Crespo, Leonardo
Howard, Reka
Singh, Ravi
Mondal, Suchismita
Juliana, Philomin
Jarquín, Diego
Crossa, Jose
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description Sparse testing can be used in plant breeding and genome-based prediction. In sparse testing not all of the lines are sown in all environments. The phenotypic and genotypic data files provided in this dataset were used to execute an analysis of three general cases of the composition of the sparse testing allocation design for wheat breeding.
 
Subject Agricultural Sciences
Triticum aestivum
Genomic selection
Agricultural research
Wheat
Grain yield
 
Language English
 
Date 2021-03-02
 
Contributor Dreher, Kate
United States Agency for International Development (USAID)
Bill and Melinda Gates Foundation (BMGF)
Foreign, Commonwealth and Development Office (FCDO)
Foundation for Research Levy on Agricultural Products (FFL)
Agricultural Agreement Research Fund (JA)
Genetic Resources Program (GRP)
Biometrics and Statistics Unit (BSU)
Global Wheat Program (GWP)
CGIAR Research Program on Wheat (WHEAT)
CGIAR
Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AG2MW)
 
Type Dataset