title: Powdery mildew resistance in roses: QTL mapping in different environments using selective genotyping.
abstract: Podosphaera pannosa, the causal agent of rose powdery mildew, hampers the production of cut roses throughout the world. A major tool to control this disease is the use of resistant plant material. Single resistance genes, like Rpp1, may be overcome within a few years by high risk pathogens like powdery mildews. Durable resistance could be achieved using quantitative resistances. Here we describe mapping of QTLs for resistance to P. pannosa in six different environments (artificial and natural infections in the greenhouse over 3 years and natural infections in the field over 2 years). AFLPs, RGAs and other marker types were used to construct an integrated linkage map for the diploid population 97/7 containing 233 markers. In a selective genotyping procedure, marker segregation was analysed for 170 of the up to 270 phenotyped individuals. We identified seven linkage groups with an average length of 60 cM, corresponding to seven rose chromosomes in the haploid set. Using an LOD significance threshold of 3.9 we detected a total of 28 QTLs for the nine powdery mildew disease scores under analysis. Using the data from artificial inoculations with powdery mildew race 9, three resistance QTLs explaining about 84% of the variability were mapped. Twelve and 15 QTLs were detected for resistance to naturally occurring infections in the greenhouse and in the field, respectively, over several years.
authors.affiliation: Department of Molecular Breeding, Institute of Plant Genetics, Hannover University, Herrenhäuser Street 2, 30419 Hannover, Germany. linde@genetik.uni-hannover.de
authors.forename: M
authors.initials: M
authors.lastname: Linde
authors.forename: A
authors.initials: A
authors.lastname: Hattendorf
authors.forename: H
authors.initials: H
authors.lastname: Kaufmann
authors.forename: Th
authors.initials: T
authors.lastname: Debener
mesh_terms: D001203:Ascomycota / Q000502:physiology; D002874:Chromosome Mapping; D005819:Genetic Markers; D005838:Genotype; D007113:Immunity, Innate / Q000235:genetics; D008126:Lod Score; D010935:Plant Diseases / Q000235:genetics* / Q000382:microbiology; D011110:Polymorphism, Genetic; D040641:Quantitative Trait Loci; D027826:Rosa / Q000235:genetics* / Q000382:microbiology
chemical_list: D005819:Genetic Markers