Dataset / Tabular

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

author(s) 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
from International Maize and Wheat Improvement Center (CIMMYT)
permalink open
themes
regions
  • Central America
  • Latin America and the Caribbean
  • Americas
  • World
citation

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, 2021, "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", https://hdl.handle.net/11529/10548575, CIMMYT Research Data & Software Repository Network, V1

Publications and datasets provided via GARDIAN

Abstract

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.

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