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

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.

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Bibliographic Details
Main Authors: Gowda, Manje, Beyene, Yoseph, Suresh L M, Berger, Dave
Format: Experimental data biblioteca
Language:English
Published: CIMMYT Research Data & Software Repository Network 2023
Subjects:Agricultural Sciences, Zea mays, Plant Breeding, Agricultural research, Maize, Gray Leaf Spot severity, Northern Corn Leaf Blight severity,
Online Access:https://hdl.handle.net/11529/10548956
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Summary: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.