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Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title Replication Data for: Genomic prediction of Synthetic Hexaploid Wheat upon tetraploid durum and diploid Aegilops parental pools
 
Identifier https://hdl.handle.net/11529/10548948
 
Creator Dreisigacker, Susanne
Martini, Johannes W. R.
Cuevas, Jaime
Pérez-Rodríguez, Paulino
Lozano-Ramírez, Nerida
Huerta, Julio
Singh, Pawan
Crespo-Herrera, Leonardo
Bentley, Alison
Crossa, Jose
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description Interspecific hybrids can be formed through allopolyploidization. Synthetic hexaploid wheats (SHW) have been created in breeding programs through the intentional crossing of tetraploid and diploid species. In this study, quantitative genetics tools developed to predict cross performance within a species were applied to predict the phenotypes of SHW for four major quantitatively inherited diseases using the data contained in this dataset. The results of the analysis are presented in the accompanying article.
 
Subject Agricultural Sciences
Plant Breeding
Septoria nodorum blotch severity
Spot bloth severity
Tan spot severity
Leaf rust severity
Agricultural research
Triticum aestivum
Wheat
 
Language English
 
Date 2023
 
Contributor Dreher, Kate
CGIAR Research Program on Wheat (WHEAT)
Genetic Resources Program (GRP)
Global Wheat Program (GWP)
Bill and Melinda Gates Foundation (BMGF)
United States Agency for International Development (USAID)
Biometrics and Statistics Unit (BSU)
CGIAR
Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG)
 
Type Experimental data
Phenotypic data
Genotypic data