Replication Data for: Elucidating Genetic Control of Maydis Leaf Blight Resistance in Tropical Maize Through Genome Wide Association Studies and Genomic Predictions
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
Replication Data for: Elucidating Genetic Control of Maydis Leaf Blight Resistance in Tropical Maize Through Genome Wide Association Studies and Genomic Predictions
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Identifier |
https://hdl.handle.net/11529/10548936
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Creator |
Wajhat-Un-Nisa
Sandhu, Surinder Nair, Sudha Kaur, Harleen Kumar, Ashok Rashid, Zerka Saykhedkar, Gajanan |
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Publisher |
CIMMYT Research Data & Software Repository Network
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Description |
Maydis Leaf Blight (MLB) is a serious foliar disease for maize in warm and humid regions. The data in this dataset were used to investigate the genetic architecture underlying resistance to MLB using high resolution Genome Wide Association Studies and Genomic Prediction. A diverse panel of 336 maize inbreds adapted for the Asian tropics, were evaluated for MLB disease score under four environments using artificial inoculation. In addition, a set of high density SNPs (128,490) from genotyping by sequencing were used for the study. The results of this study are presented in the accompanying publication.
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Subject |
Agricultural Sciences
Maydis Leaf Blight Severity Zea mays Drechslera maydis Maize Plant Breeding Crop Improvement Agricultural research |
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Language |
English
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Date |
2023
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Contributor |
Dreher, Kate
CGIAR CGIAR Research Program on Maize (MAIZE) Global Maize Program (GMP) |
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Type |
Phenotypic data
Genotypic data Experimental data |
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