Molecular Breeding

, Volume 23, Issue 3, pp 445–461 | Cite as

Two stable QTL involved in adult plant resistance to powdery mildew in the winter wheat line RE714 are expressed at different times along the growing season

  • H. Muranty
  • M.-T. Pavoine
  • B. Jaudeau
  • W. Radek
  • G. Doussinault
  • D. Barloy
Article
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Abstract

Powdery mildew (Blumeria graminis f. sp. tritici) is one of the major diseases of wheat (Triticum aestivum). Adult plant resistance (APR) to powdery mildew is considered more durable than resistance conferred by major race-specific resistance genes. The objective of the present study was a better understanding of the genetic basis of APR in RE714 by means of QTL analysis of several resistance scores along the growing season. A population of 160 recombinant inbred lines obtained from the cross between RE714 and Hardi (susceptible) was assessed for APR under natural infection conditions during 3 years and a genetic map with whole genome coverage was developed with microsatellite and AFLP markers in this population. Two major QTL on chromosomes 5D and 6A were detected each year, and 6 minor QTL were detected only in 1 or 2 years. The QTL on chromosome 5D was detected during all the growing season each year and its R 2 value varied between 8.5 and 56.3%, whereas the QTL on chromosome 6A was detected at 1–4 scoring dates in the 3 years, and its R 2 value varied between 6.1 and 20.5%. The two QTL explained between 24.4 and 52.1% of the phenotypic variance for AUDPC, depending on the year. The models including QTL and cofactors in the composite interval mapping explained between 29 and 72% of the variance. The molecular markers linked to the two major QTL could be used in marker-assisted selection for adult plant resistance to powdery mildew.

Keywords

QTL mapping Triticum aestivum Blumeria graminis f. sp. tritici Adult plant resistance 
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Notes

Acknowledgments

Molecular mapping results were in great part obtained through the OUEST-genopole® genotyping technical platform, successively supervised by S. Prioul, A. Lostanlen and S. Coedel. QTL analysis, including permutations, was performed on the OUEST-genopole® bioinformatics platform. We thank P. Sourdille for sharing information about microsatellite primer sequences ahead of publication. We thank R. Delourme, M.-L. Pilet-Nayel and T. Baldwin for their critical reading of the manuscript.

Supplementary material

11032_2008_9248_MOESM1_ESM.doc (44 kb)
(DOC 44 kb)

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • H. Muranty
    • 1
    • 2
  • M.-T. Pavoine
    • 1
  • B. Jaudeau
    • 1
  • W. Radek
    • 1
  • G. Doussinault
    • 1
  • D. Barloy
    • 1
  1. 1.INRA Agrocampus RennesUMR118 Amélioration des Plantes et Biotechnologies VégétalesLe Rheu CedexFrance
  2. 2.INRA UR 0588 Amélioration Génétique et Physiologie ForestièresOrleans Cedex 2France

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