Replication Data for: Genome-Wide Association Mapping And Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
Replication Data for: Genome-Wide Association Mapping And Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize
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Identifier |
https://hdl.handle.net/11529/10548156
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Creator |
Yuan, Yibing
Cairns, Jill E. Babu, Raman Gowda, Manje Makumbi, Dan Magorokosho, Cosmos Zhang, Ao Liu, Yubo Wang, Nan Hao, Zhuanfang San Vicente, Felix Olsen, Michael S. Prasanna, Boddupalli M. Lu, Yanli Zhang, Xuecai |
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Publisher |
CIMMYT Research Data & Software Repository Network
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Description |
Drought stress, heat stress, and combination of drought stress and heat stress have been recognized as the major abiotic constraints to maize yields in the main production regions. The phenotypic data used in the current study had been published by Jill E. Cairns et al in 2013 in the journal of Crop Science 53 :1335–1346 (https://dx.doi.org/10.2135/cropsci2012.09.0545). In this study, the association mapping and genomic prediction analyses were conducted in a collection of 300 tropical and subtropical maize inbred lines to reveal the genetic architecture of grain yield and flowering time under well-watered, drought stress, heat stress, and combined drought and heat stress conditions. The genetic architecture information of the grain yield and flowering time revealed in this study, and the genomic regions identified for the different trait-environment combinations are helpful accelerating the efforts on rapid development of the stress-tolerant maize germplasm through marker-assisted selection or genomic selection.
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Subject |
Agricultural Sciences
Maize Zea mays Grain yield Anthesis time Days to anthesis Anthesis-silking interval Agricultural research GWAS study |
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Language |
English
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Date |
2018
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Contributor |
Dreher, Kate
CGIAR Research Program on Maize (MAIZE) Bill and Melinda Gates Foundation United States Agency for International Development National Natural Foundation of China Chinese Scholarship Council CGIAR Global Maize Program (GMP) Drought Tolerant Maize for Africa |
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Type |
Experimental data
Genotypic data Phenotypic data |
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