Record Details

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

View Archive Info
 
 
Field Value
 
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
 
Identifier https://hdl.handle.net/11529/10548156
 
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
 
Publisher CIMMYT Research Data & Software Repository Network
 
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.
 
Subject Agricultural Sciences
Maize
Zea mays
Grain yield
Anthesis time
Days to anthesis
Anthesis-silking interval
Agricultural research
GWAS study
 
Language English
 
Date 2018
 
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
 
Type Experimental data
Genotypic data
Phenotypic data