Molecular Breeding

, Volume 22, Issue 3, pp 395–403 | Cite as

QTL mapping of resistance to Fusarium ear rot using a RIL population in maize

  • Jun-Qiang Ding
  • Xiao-Ming Wang
  • Subhash Chander
  • Jian-Bing Yan
  • Jian-Sheng Li


Fusarium ear rot is a prevalent disease in maize, reducing grain yields and quality. Resistance breeding is an efficient way to minimize losses caused by the disease. In this study, 187 lines from a RIL population along with the resistant (87-1) and susceptible (Zong 3) parents were planted in Zhengzhou and Beijing with three replications in years 2004 and 2006. Each line was artificially inoculated using the nail-punch method. Significant genotypic variation in response to Fusarium ear rot was detected in both years. Based on a genetic map containing 246 polymorphic SSR markers with average genetic distances of 9.1 cM, the ear-rot resistance QTL were firstly analyzed by composite interval mapping (CIM). Three QTL were detected in both Zhengzhou and Beijing in 2004; and three and four QTL, respectively, were identified in 2006. The resistant parent contributed all resistance QTL. By using composite interval mapping and a mixed model (MCIM), significant epistatic effects on Fusarium ear rot as well as interactions between mapped loci and environments were observed across environments. Two QTL on chromosome 3 (3.04 bin) were consistently identified across all environments by the two methods. The major resistant QTL with the largest effect was flanked by markers umc1025 and umc1742 on chromosome 3 (3.04 bin), explaining 13–22% of the phenotypic variation. The SSR markers closely flanking the major resistance QTL will facilitate marker-assisted selection (MAS) of resistance to Fusarium ear rot in maize breeding programs.


Fusarium ear rot Maize QTL RIL SSR marker 



This work was supported by the Chinese High Technology Project. The authors acknowledge the help of Professor R. A. McIntosh for language editing.


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Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  • Jun-Qiang Ding
    • 1
  • Xiao-Ming Wang
    • 2
  • Subhash Chander
    • 1
  • Jian-Bing Yan
    • 1
  • Jian-Sheng Li
    • 1
  1. 1.National Maize Improvement Centre of ChinaChina Agricultural UniversityBeijingChina
  2. 2.Crop Research InstituteChinese Academy of Agricultural SciencesBeijingChina

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