Literature DB >> 32995900

Intercontinental trials reveal stable QTL for Northern corn leaf blight resistance in Europe and in Brazil.

Ana L Galiano-Carneiro1, Bettina Kessel2, Thomas Presterl2, Thomas Miedaner3.   

Abstract

KEY MESSAGE: NCLB is the most devastating leaf disease in European maize, and the introduction of Brazilian resistance donors can efficiently increase the resistance levels of European maize germplasm. Northern corn leaf blight (NCLB) is one of the most devastating leaf pathogens in maize (Zea mays L.). Maize cultivars need to be equipped with broad and stable NCLB resistance to cope with production intensification and climate change. Brazilian germplasm is a great source to increase low NCLB resistance levels in European materials, but little is known about their effect in European environments. To investigate the usefulness of Brazilian germplasm as NCLB resistance donors, we conducted multi-parent QTL mapping, evaluated the potential of marker-assisted selection as well as genome-wide selection of 742 F1-derived DH lines. The line per se performance was evaluated in one location in Brazil and six location-by-year combinations (= environments) in Europe, while testcrosses were assessed in two locations in Brazil and further 10 environments in Europe. Jointly, we identified 17 QTL for NCLB resistance explaining 3.57-30.98% of the genotypic variance each. Two of these QTL were detected in both Brazilian and European environments indicating the stability of these QTL in contrasting ecosystems. We observed moderate to high genomic prediction accuracies between 0.58 and 0.83 depending on population and continent. Collectively, our study illustrates the potential use of tropical resistance sources to increase NCLB resistance level in applied European maize breeding programs.

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Year:  2020        PMID: 32995900      PMCID: PMC7813747          DOI: 10.1007/s00122-020-03682-1

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


  32 in total

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Authors:  Angela-Maria Bernal-Vasquez; H-Friedrich Utz; Hans-Peter Piepho
Journal:  Theor Appl Genet       Date:  2016-02-16       Impact factor: 5.699

2.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

3.  Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments.

Authors:  M Cooper; I H Delacy
Journal:  Theor Appl Genet       Date:  1994-07       Impact factor: 5.699

4.  REML approach for adjusting the Fusarium head blight rating to a phenological date in inoculated selection experiments of wheat.

Authors:  K Emrich; F Wilde; T Miedaner; H P Piepho
Journal:  Theor Appl Genet       Date:  2008-04-05       Impact factor: 5.699

5.  Tagging quantitative trait loci for maturity-corrected late blight resistance in tetraploid potato with PCR-based candidate gene markers.

Authors:  Christina Angelika Bormann; Andreas Marcus Rickert; Rosa Angela Castillo Ruiz; Jürgen Paal; Jens Lübeck; Josef Strahwald; Karsten Buhr; Christiane Gebhardt
Journal:  Mol Plant Microbe Interact       Date:  2004-10       Impact factor: 4.171

6.  Genomic prediction with multiple biparental families.

Authors:  Pedro C Brauner; Dominik Müller; Willem S Molenaar; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2019-10-08       Impact factor: 5.699

7.  A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome.

Authors:  Martin W Ganal; Gregor Durstewitz; Andreas Polley; Aurélie Bérard; Edward S Buckler; Alain Charcosset; Joseph D Clarke; Eva-Maria Graner; Mark Hansen; Johann Joets; Marie-Christine Le Paslier; Michael D McMullen; Pierre Montalent; Mark Rose; Chris-Carolin Schön; Qi Sun; Hildrun Walter; Olivier C Martin; Matthieu Falque
Journal:  PLoS One       Date:  2011-12-08       Impact factor: 3.240

8.  How do the type of QTL effect and the form of the residual term influence QTL detection in multi-parent populations? A case study in the maize EU-NAM population.

Authors:  Vincent Garin; Valentin Wimmer; Sofiane Mezmouk; Marcos Malosetti; Fred van Eeuwijk
Journal:  Theor Appl Genet       Date:  2017-05-25       Impact factor: 5.699

9.  Genetic architecture of male floral traits required for hybrid wheat breeding.

Authors:  Philipp H G Boeven; C Friedrich H Longin; Willmar L Leiser; Sonja Kollers; Erhard Ebmeyer; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2016-08-23       Impact factor: 5.699

10.  Genome-wide association mapping reveals novel sources of resistance to northern corn leaf blight in maize.

Authors:  Junqiang Ding; Farhan Ali; Gengshen Chen; Huihui Li; George Mahuku; Ning Yang; Luis Narro; Cosmos Magorokosho; Dan Makumbi; Jianbing Yan
Journal:  BMC Plant Biol       Date:  2015-08-20       Impact factor: 4.215

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  3 in total

Review 1.  Genomics-Assisted Breeding for Quantitative Disease Resistances in Small-Grain Cereals and Maize.

Authors:  Thomas Miedaner; Ana Luisa Galiano-Carneiro Boeven; David Sewodor Gaikpa; Maria Belén Kistner; Cathérine Pauline Grote
Journal:  Int J Mol Sci       Date:  2020-12-19       Impact factor: 5.923

2.  A High-Density Genetic Map Enables Genome Synteny and QTL Mapping of Vegetative Growth and Leaf Traits in Gardenia.

Authors:  Yang Cui; Baolian Fan; Xu Xu; Shasha Sheng; Yuhui Xu; Xiaoyun Wang
Journal:  Front Genet       Date:  2022-01-04       Impact factor: 4.599

3.  Inheritance of resistance against northern leaf blight of maize using conventional breeding methods.

Authors:  Nader R Abdelsalam; Maha G Balbaa; Hassan T Osman; Rehab Y Ghareeb; El-Sayed M Desoky; Ahmed M Elshehawi; Bandar S Aljuaid; Ahmed S M Elnahal
Journal:  Saudi J Biol Sci       Date:  2021-10-26       Impact factor: 4.219

  3 in total

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