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Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title Use of hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat - data for publication
 
Identifier https://hdl.handle.net/11529/10548109
 
Creator Mondal, Suchismita
Krause, Margaret R.
Juliana, Philomin
Poland, Jesse
Dreisigacker, Susanne
Singh, Ravi
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description Genomic, pedigree, grain yield and hyperspectral data for the manuscript
 
Subject Agricultural Sciences
Agricultural research
Wheat
Triticum aestivum
High throughput phenotyping
HTP
Grain yield
 
Language English
 
Date 2018
 
Contributor Shrestha, Rosemary
Global Wheat Program (GWP)
 
Type Experimental data, Phenotypic Data, Genotypic Data