Record Details

Replication Data for: Measurements for multi-trait genomic-enabled prediction accuracy in multi-year breeding trials

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

View Archive Info
 
 
Field Value
 
Title Replication Data for: Measurements for multi-trait genomic-enabled prediction accuracy in multi-year breeding trials
 
Identifier https://hdl.handle.net/11529/10548572
 
Creator Montesinos-López, Abelardo
Runcie, Daniel
Ibba, Maria Itria
Pérez-Rodríguez, Paulino
Montesinos-López, Osval A.
Crespo Herrera, Leonardo Abdiel
Bentley, Alison
Crossa, Jose
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description Several different genome-based prediction models are available for the analysis of multi-trait data in genomic selection. The supplemental files included in this dataset
provide six extensive multi-trait wheat datasets (quality and grain yield) that enable the comparison of performance of genomic-enabled-prediction when calculating the prediction accuracy using different methods. The related article describes the results of the analysis and reports that trait grain yield prediction performance is better under a multi-trait model as compared with the single-trait model.
 
Subject Agricultural Sciences
Wheat
Triticum aestivum
Agricultural research
Plant Breeding
Grain test weight
Grain protein content
Grain hardness
Flour protein content
Flour SDS sedimentation
Dough mixograph mixing time
Dough mixograph torque
Dough alveograph value W
Dough alveograph P/L
Bread loaf volume
Thousand Kernel Weight
 
Language English
 
Date 2021-04-24
 
Contributor Dreher, Kate
Foreign, Commonwealth and Development Office (FCDO)
Foundation for Research Levy on Agricultural Products (FFL)
Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG)
Agricultural Agreement Research Fund (JA)
CGIAR
Biometrics and Statistics Unit (BSU)
United States Agency for International Development (USAID)
Bill and Melinda Gates Foundation (BMGF)
Global Wheat Program (GWP)
Genetic Resources Program (GRP)
CGIAR Research Program on Wheat (WHEAT)
 
Type Dataset