Literature DB >> 24177889

Generation-means analysis and quantitative trait locus mapping of anthracnose stalk rot genes in maize.

M Jung1, T Weldekidan, D Schaff, A Paterson, S Tingey, J Hawk.   

Abstract

A generation-means analysis was performed on two maize populations, each segregating for genes conferring resistance to anthracnose stalk rot (ASR). The populations were derived from a cross of DE811ASR x DE811 and of DE811ASR x LH132. The resistant parent, DE811ASR, was obtained through introgression with MP305 as the donor and DE811 as the recurrent parent. The analysis revealed significant additive effects in both populations and a significant additive x dominant effect in the DES11ASR x DES11 population. Quantitative trait locus (QTL) mapping, using restriction fragment length polymorphism (RFLP)-based molecular markers, indicated a significant QTL on linkage group 4 in both populations. The QTL analysis confirmed additive inheritance in both populations. This work demonstrates a close correspondence between generation-means analysis and discrete observations using molecular markers. Linkage of a genetic marker to genes conferring resistance to ASR will be useful for the introgression of resistance into elite germplasm.

Entities:  

Year:  1994        PMID: 24177889     DOI: 10.1007/BF00225375

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  7 in total

1.  Linkage analysis of genes for resistance to downy mildew (Bremia lactucae) in lettuce (Lactuca sativa).

Authors:  S H Hulbert; R W Michelmore
Journal:  Theor Appl Genet       Date:  1985-08       Impact factor: 5.699

2.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

3.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

4.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

5.  A technique for radiolabeling DNA restriction endonuclease fragments to high specific activity.

Authors:  A P Feinberg; B Vogelstein
Journal:  Anal Biochem       Date:  1983-07-01       Impact factor: 3.365

6.  Rapid identification of markers linked to a Pseudomonas resistance gene in tomato by using random primers and near-isogenic lines.

Authors:  G B Martin; J G Williams; S D Tanksley
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

7.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

  7 in total
  10 in total

1.  Precise mapping of quantitative trait loci for resistance to southern leaf blight, caused by Cochliobolus heterostrophus race O, and flowering time using advanced intercross maize lines.

Authors:  P J Balint-Kurti; J C Zwonitzer; R J Wisser; M L Carson; M A Oropeza-Rosas; J B Holland; S J Szalma
Journal:  Genetics       Date:  2007-03-04       Impact factor: 4.562

2.  Quantitative resistance to barley leaf stripe (Pyrenophora graminea) is dominated by one major locus.

Authors:  N Pecchioni; P Faccioli; H Toubia-Rahme; G Valè; V Terzi
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699

3.  Mapping resistance to Southern rust in a tropical by temperate maize recombinant inbred topcross population.

Authors:  M P Jines; P Balint-Kurti; L A Robertson-Hoyt; T Molnar; J B Holland; M M Goodman
Journal:  Theor Appl Genet       Date:  2006-12-20       Impact factor: 5.699

4.  Targeted discovery of quantitative trait loci for resistance to northern leaf blight and other diseases of maize.

Authors:  Chia-Lin Chung; Jesse Poland; Kristen Kump; Jacqueline Benson; Joy Longfellow; Ellie Walsh; Peter Balint-Kurti; Rebecca Nelson
Journal:  Theor Appl Genet       Date:  2011-04-28       Impact factor: 5.699

5.  A major QTL for resistance to Gibberella stalk rot in maize.

Authors:  Qin Yang; Guangming Yin; Yanling Guo; Dongfeng Zhang; Shaojiang Chen; Mingliang Xu
Journal:  Theor Appl Genet       Date:  2010-04-17       Impact factor: 5.699

6.  Identification and validation of a key genomic region on chromosome 6 for resistance to Fusarium stalk rot in tropical maize.

Authors:  Zerka Rashid; Veerendra Babu; Shyam Sundar Sharma; Pradeep Kumar Singh; Sudha Krishnan Nair
Journal:  Theor Appl Genet       Date:  2022-10-22       Impact factor: 5.574

Review 7.  Molecular Genetics of Anthracnose Resistance in Maize.

Authors:  Wendi Ma; Xinying Gao; Tongling Han; Magaji Tukur Mohammed; Jun Yang; Junqiang Ding; Wensheng Zhao; You-Liang Peng; Vijai Bhadauria
Journal:  J Fungi (Basel)       Date:  2022-05-23

8.  qRfg3, a novel quantitative resistance locus against Gibberella stalk rot in maize.

Authors:  Chuanyu Ma; Xuena Ma; Lishan Yao; Yongjie Liu; Feili Du; Xiaohong Yang; Mingliang Xu
Journal:  Theor Appl Genet       Date:  2017-05-29       Impact factor: 5.699

9.  Transcriptome analysis of maize resistance to Fusarium graminearum.

Authors:  Yongjie Liu; Yanling Guo; Chuanyu Ma; Dongfeng Zhang; Chao Wang; Qin Yang
Journal:  BMC Genomics       Date:  2016-06-28       Impact factor: 3.969

10.  Identification, Mapping, and Molecular Marker Development for Rgsr8.1: A New Quantitative Trait Locus Conferring Resistance to Gibberella Stalk Rot in Maize (Zea mays L.).

Authors:  Qian Chen; Jun Song; Wen-Ping Du; Li-Yuan Xu; Yun Jiang; Jie Zhang; Xiao-Li Xiang; Gui-Rong Yu
Journal:  Front Plant Sci       Date:  2017-08-03       Impact factor: 5.753

  10 in total

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