Abstract
DNA-based molecular markers have been used in numerous studies for tagging specific genes in wheat for subsequent use in marker-assisted selection. Usually in plant breeding, procedures for mapping genes are based on analysis of a single segregating population. However, breeding programmes routinely evaluate large numbers of progeny derived from multiple-related crosses with some parental lines shared. In most such related crosses, the number of progeny is quite small. Thus, statistical techniques for detecting quantitative trait loci (QTLs) using data from conventional multi-cross breeding programmes are interesting. The objective of this study is to present a mixture model for QTL mapping in crosses of multiple inbred varieties with non-normal phenotype distributions and to use this model to map QTLs for yellow rust resistance in elite wheat breeding material. Three doubled haploid populations consisting of 41, 42 and 55 lines, respectively, originating from four parental varieties were studied. Multi-cross QTL analysis with three specific pathogen isolates of Puccinia striiformis f. sp. tritici and a mixture of the isolates revealed QTLs for resistance at four different genomic locations. These QTLs were found on chromosome 2AL, 2AS, 2BL and 6BL and explained between 21 and 41% of the phenotypic variation. Two of these QTLs, one on the long arm of chromosome 2A and one on the short arm of chromosome 2A were identical to the known yellow rust resistance genes Yr32 and Yr17, respectively, whereas the QTLs located on the long arms of chromosomes 2B and 6B may reflect types of resistance to yellow rust, which have not previously been mapped.
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Acknowledgements
We thank Dr. MS Hovmøller (Danish Institute of Agricultural Sciences, Flakkebjerg, Denmark) for providing Puccinia striiformis isolates for this study and for helpful comments on the manuscript. MJ Christiansen was supported by a grant from The Danish Ministry of Science, Technology and Innovation. The wmc markers were developed by the Wheat Microsatellite Consortium managed by Agrogene (620 Rue Blaise Pascal, Z.I., 77555 Moissy Cramayel, France).
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Communicated by T. Lübberstedt
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Christiansen, M., Feenstra, B., Skovgaard, I. et al. Genetic analysis of resistance to yellow rust in hexaploid wheat using a mixture model for multiple crosses. Theor Appl Genet 112, 581–591 (2006). https://doi.org/10.1007/s00122-005-0128-7
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DOI: https://doi.org/10.1007/s00122-005-0128-7