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Replication Data for: Combination of Linkage and Association Mapping with Genomic Prediction to Infer QTL Regions Associated with Gray Leaf Spot and Northern Corn Leaf Blight Resistance in Tropical Maize

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Title Replication Data for: Combination of Linkage and Association Mapping with Genomic Prediction to Infer QTL Regions Associated with Gray Leaf Spot and Northern Corn Leaf Blight Resistance in Tropical Maize
 
Identifier https://hdl.handle.net/11529/10548956
 
Creator Gowda, Manje
Beyene, Yoseph
Suresh L M
Berger, Dave
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description Gray Leaf Spot (GLS) and Northern Corn Leaf Blight (NCLB) are two pathogens with high genetic diversity that can reduce grain yield in infected maize plants.To identify population-based quantitative trait loci (QTL) for GLS and NCLB resistance, a biparental population and an association mapping panel were genotyped and were also phenotyped across multi-environments in western Kenya. This dataset includes the analyzed BLUES of the collected phenotypic data for Gray Leaf Spot GLS and NCLB resistance from the DH population and diversity panel, as well as the GBS genotypic data. The results of the analysis are reported in the accompanying article.
 
Subject Agricultural Sciences
Zea mays
Plant Breeding
Agricultural research
Maize
Gray Leaf Spot severity
Northern Corn Leaf Blight severity
 
Language English
 
Date 2023
 
Contributor Gowda, Manje
Bill and Melinda Gates Foundation (BMGF)
United States Agency for International Development (USAID)
CGIAR Research Program on Maize (MAIZE)
CGIAR
Global Maize Program (GMP)
Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG)
Foundation for Research Levy on Agricultural Products (FFL)
Foreign, Commonwealth and Development Office (FCDO)
 
Type Experimental data
Phenotypic data
Genotypic data