Mapping Resistance Quantitative Trait Loci for Three Foliar Diseases in a Maize Recombinant Inbred Line Population-Evidence for Multiple Disease Resistance?

被引:85
|
作者
Zwonitzer, John C. [3 ]
Coles, Nathan D. [2 ]
Krakowsky, Matthew D. [2 ]
Arellano, Consuelo [4 ]
Holland, James B. [2 ]
McMullen, Michael D. [5 ]
Pratt, Richard C. [6 ]
Balint-Kurti, Peter J. [1 ,3 ]
机构
[1] N Carolina State Univ, USDA ARS, Plant Sci Res Unit, Raleigh, NC 27695 USA
[2] N Carolina State Univ, Dept Crop Sci, Raleigh, NC 27695 USA
[3] N Carolina State Univ, Dept Plant Pathol, Raleigh, NC 27695 USA
[4] N Carolina State Univ, Dept Stat, Raleigh, NC 27695 USA
[5] Univ Missouri, Columbia, MO 65211 USA
[6] Ohio State Univ, Ohio Agr Res & Dev Ctr, Dept Hort & Crop Sci, Wooster, OH 44691 USA
基金
美国农业部;
关键词
GRAY LEAF-SPOT; CERCOSPORA-ZEAE-MAYDIS; RACE-O; COCHLIOBOLUS-HETEROSTROPHUS; EXSEROHILUM-TURCICUM; GENETIC ARCHITECTURE; BROAD-SPECTRUM; YIELD LOSS; CORN; BLIGHT;
D O I
10.1094/PHYTO-100-1-0072
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Southern leaf blight (SLB), gray leaf spot (GLS), and northern leaf blight (NLB) are all important foliar diseases impacting maize production. The objectives of this study were to identify quantitative trait loci (QTL) for resistance to these diseases in a maize recombinant inbred line (RIL) population derived from a cross between maize lines Ki14 and B73, and to evaluate the evidence for the presence genes or loci conferring multiple disease resistance (MDR). Each disease was scored in multiple separate trials. Highly significant correlations between the resistances and the three diseases were found. The highest correlation was identified between SLB and GLS resistance (r = 0.62). Correlations between resistance to each of the diseases and time to flowering were also highly significant. Nine, eight, and six QTL were identified for SLB, GLS, and NLB resistance, respectively. QTL for all three diseases colocalized in bin 1.06, while QTL colocalizing for two of the three diseases were identified in bins 1.08 to 1.09, 2.02/2.03, 3.04/3.05, 8.05, and 10.05. QTL for time to flowering were also identified at four of these six loci (bins 1.06, 3.04/3.05, 8.05, and 10.05). No disease resistance QTL was identified at the largest-effect QTL for flowering time in bin 10.03.
引用
收藏
页码:72 / 79
页数:8
相关论文
共 50 条
  • [1] Quantitative Trait Loci Mapping of Resistance to Powdery Mildew Race 1 in a Recombinant Inbred Line Population of Melon
    Branham, Sandra E.
    Kousik, Chandrasekar
    Mandal, Mihir K.
    Wechter, W. Patrick
    [J]. PLANT DISEASE, 2021, 105 (12) : 3809 - 3815
  • [2] Quantitative trait locus mapping of resistance to Aspergillus flavus infection using a recombinant inbred line population in maize
    Zhitong Yin
    Yanqiu Wang
    Feifei Wu
    Xiao Gu
    Yunlong Bian
    Yijun Wang
    Dexiang Deng
    [J]. Molecular Breeding, 2014, 33 : 39 - 49
  • [3] Quantitative trait locus mapping of resistance to Aspergillus flavus infection using a recombinant inbred line population in maize
    Yin, Zhitong
    Wang, Yanqiu
    Wu, Feifei
    Gu, Xiao
    Bian, Yunlong
    Wang, Yijun
    Deng, Dexiang
    [J]. MOLECULAR BREEDING, 2014, 33 (01) : 39 - 49
  • [4] Identification of quantitative trait loci for resistance to southern leaf blight and days to anthesis in a maize recombinant inbred line population
    Balint-Kurti, P. J.
    Krakowsky, M. D.
    Jines, M. P.
    Robertson, L. A.
    Molnar, T. L.
    Goodman, M. M.
    Holland, J. B.
    [J]. PHYTOPATHOLOGY, 2006, 96 (10) : 1067 - 1071
  • [5] Quantitative trait loci mapping of Meloidogyne incognita and M. hapla resistance in a recombinant inbred line population of soybean
    Li, Chunjie
    Wang, Jialin
    You, Jia
    Wang, Xinpeng
    Liu, Baohui
    Abe, Jun
    Kong, Fanjiang
    Wang, Congli
    [J]. NEMATOLOGY, 2018, 20 (06) : 525 - 537
  • [6] Quantitative trait loci in two soybean recombinant inbred line populations segregating for yield and disease resistance
    Yuan, J
    Njiti, VN
    Meksem, K
    Iqbal, MJ
    Triwitayakorn, K
    Kassem, MA
    Davis, GT
    Schmidt, ME
    Lightfoot, DA
    [J]. CROP SCIENCE, 2002, 42 (01) : 271 - 277
  • [7] Identification of maize brace-root quantitative trait loci in a recombinant inbred line population
    Zhang, Ao
    Cui, Zhenhai
    Li, Cong
    Luo, Jinhong
    Guan, Yixin
    Liu, Lingli
    Zhang, Zhuang
    Zhang, Lijun
    He, Yan
    Ruan, Yanye
    Yu, Haiqiu
    [J]. EUPHYTICA, 2018, 214 (09)
  • [8] Identification of maize brace-root quantitative trait loci in a recombinant inbred line population
    Ao Zhang
    Zhenhai Cui
    Cong Li
    Jinhong Luo
    Yixin Guan
    Lingli Liu
    Zhuang Zhang
    Lijun Zhang
    Yan He
    Yanye Ruan
    Haiqiu Yu
    [J]. Euphytica, 2018, 214
  • [9] Validation of Consensus Quantitative Trait Loci Associated with Resistance to Multiple Foliar Pathogens of Maize
    Asea, Godfrey
    Vivek, Bindiganavile S.
    Bigirwa, George
    Lipps, Patrick E.
    Pratt, Richard C.
    [J]. PHYTOPATHOLOGY, 2009, 99 (05) : 540 - 547
  • [10] Mapping quantitative trait loci for water uptake in a recombinant inbred line population of natto soybean
    Molnar, Stephen J.
    Charette, Martin
    Cober, Elroy R.
    [J]. CANADIAN JOURNAL OF PLANT SCIENCE, 2012, 92 (02) : 257 - 266