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Replication Data for: Genetic dissection of quantitative resistance to common rust (Puccinia sorghi) in tropical maize (Zea mays L.) by combined GWAS, linkage mapping, and genomic prediction

CIMMYT Research Data & Software Repository Network Dataverse OAI Archive

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Title Replication Data for: Genetic dissection of quantitative resistance to common rust (Puccinia sorghi) in tropical maize (Zea mays L.) by combined GWAS, linkage mapping, and genomic prediction
 
Identifier https://hdl.handle.net/11529/10548575
 
Creator Ren, Jiaojiao
Li, Zhimin
Wu, Penghao
Zhang, Ao
Liu, Yubo
Hu, Guanghui
Cao, Shiliang
Qu, Jingtao
Dhliwayo, Thanda
Zheng, Hongjian
Olsen, Michael Scott
Boddupalli, Prasanna
San Vicente, Felix
Zhang, Xuecai
 
Publisher CIMMYT Research Data & Software Repository Network
 
Description Significant grain yield losses and poor grain quality can be caused by Common rust a major foliar disease in maize. This dataset provides the genotypic and phenotypic data that were used to perform genome-wide association studies (GWAS) and linkage analysis mapping to dissect the architecture of common rust resistance.
 
Subject Agricultural Sciences
Zea mays
Maize
Agricultural research
Common rust severity
Puccinia sorghi
Genotypes
 
Language English
 
Date 2021-06-30
 
Contributor Dreher, Kate
CGIAR Research Program on Maize (MAIZE)
Bill and Melinda Gates Foundation (BMGF)
United States Agency for International Development (USAID)
Secretaría de Agricultura y Desarrollo Rural (SADER)
Shanghai Municipal Finance Bureau
National Natural Science Foundation of China
Xinjiang Youth Foundation
Chinese Postdoc Foundation
Chinese Postdoctoral International Exchange Program
China Scholarship Council
Postdoctoral Science Foundation of Heilongjiang Province
Fund for Distinguished Young Scholars of Heilongjiang Academy of Agricultural Sciences
Global Maize Program (GMP)
CIMMYT-China Specialty Maize Research Center
 
Type Dataset