Literature DB >> 24190347

Quantitative and qualitative trait loci affecting host-plant response to Exserohilum turcicum in maize (Zea mays L.).

P J Freymark1, M Lee, W L Woodman, C A Martinson.   

Abstract

Molecular markers at 103 loci were used to identify the location of quantitative sources of resistance to Exserohilum turcicum in 150 F2∶3 lines of a B52/Mo17 maize population. Host-plant response was measured in terms of the average number of lesions per leaf, the average percent leaf tissue diseased (severity), and the average size of lesions. The location of quantitative trait loci were compared with three loci having known qualitative effects, namely Ht1, Ht2 and bx1. Chromosomal regions containing the Ht1 and Ht2 loci showed a small contribution in determining lesion size, even though alleles with dominant, qualitative effects at these loci have never been reported in either inbred parent. Similar effects were not observed for the number of lesions or for disease severity. Likewise, some contribution was observed for chromosomal regions encompassing the bx1 locus in determining lesion size but not the number of lesions or disease severity. Overall the contribution of loci in the vicinity of Ht1, Ht2 and bx1 was small relative to variation attributable to loci with quantitative effects identified in this study. Molecular-marker-facilitated mapping concurred with previous reciprocal translocation mapping studies on the importance of chromosomes 3, 5 and 7, despite the fact that these studies utilized diverse sources of resistant germplasm.

Entities:  

Year:  1993        PMID: 24190347     DOI: 10.1007/BF00221876

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


  7 in total

1.  Genetic and morphological analysis of a maize-teosinte F2 population: implications for the origin of maize.

Authors:  J Doebley; A Stec; J Wendel; M Edwards
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12-15       Impact factor: 11.205

2.  Construction of genetic linkage maps in maize and tomato using restriction fragment length polymorphisms.

Authors:  T Helentjaris; M Slocum; S Wright; A Schaefer; J Nienhuis
Journal:  Theor Appl Genet       Date:  1986-09       Impact factor: 5.699

3.  Identification of an RFLP marker tightly linked to theHt1 gene in maize.

Authors:  S Bentolila; C Guitton; N Bouvet; A Sailland; S Nykaza; G Freyssinet
Journal:  Theor Appl Genet       Date:  1991-07       Impact factor: 5.699

4.  Quantitative trait loci for plant height in four maize populations and their associations with qualitative genetic loci.

Authors:  W D Beavis; D Grant; M Albertsen; R Fincher
Journal:  Theor Appl Genet       Date:  1991-12       Impact factor: 5.699

5.  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

6.  Gene mapping with recombinant inbreds in maize.

Authors:  B Burr; F A Burr; K H Thompson; M C Albertson; C W Stuber
Journal:  Genetics       Date:  1988-03       Impact factor: 4.562

7.  Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action.

Authors:  M D Edwards; C W Stuber; J F Wendel
Journal:  Genetics       Date:  1987-05       Impact factor: 4.562

  7 in total
  20 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.  Multivariate analysis of maize disease resistances suggests a pleiotropic genetic basis and implicates a GST gene.

Authors:  Randall J Wisser; Judith M Kolkman; Megan E Patzoldt; James B Holland; Jianming Yu; Matthew Krakowsky; Rebecca J Nelson; Peter J Balint-Kurti
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-13       Impact factor: 11.205

3.  Selection mapping of loci for quantitative disease resistance in a diverse maize population.

Authors:  Randall J Wisser; Seth C Murray; Judith M Kolkman; Hernán Ceballos; Rebecca J Nelson
Journal:  Genetics       Date:  2008-08-24       Impact factor: 4.562

4.  Identification of quantitative trait loci controlling resistance to gray leaf spot disease in maize.

Authors:  M A Maroof; Y G Yue; Z X Xiang; E L Stromberg; G K Rufener
Journal:  Theor Appl Genet       Date:  1996-09       Impact factor: 5.699

5.  Comparative mapping in F2∶3 and F 6∶7 generations of quantitative trait loci for grain yield and yield components in maize.

Authors:  D F Austin; M Lee
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

6.  Mapping quantitative trait loci for downy mildew resistance in pearl millet.

Authors:  E S Jones; C J Liu; M D Gale; C T Hash; J R Witcombe
Journal:  Theor Appl Genet       Date:  1995-08       Impact factor: 5.699

7.  Adult plant and seedling resistance to powdery mildew in a Triticum aestivum x Triticum militinae hybrid line.

Authors:  Irena Jakobson; Hilma Peusha; Ljudmilla Timofejeva; Kadri Järve
Journal:  Theor Appl Genet       Date:  2005-12-17       Impact factor: 5.699

8.  Molecular-marker-facilitated studies of morphological traits in maize. II: Determination of QTLs for grain yield and yield components.

Authors:  L R Veldboom; M Lee
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

9.  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

10.  Unraveling genomic complexity at a quantitative disease resistance locus in maize.

Authors:  Tiffany M Jamann; Jesse A Poland; Judith M Kolkman; Laurie G Smith; Rebecca J Nelson
Journal:  Genetics       Date:  2014-07-09       Impact factor: 4.562

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