Theoretical and Applied Genetics

, Volume 125, Issue 7, pp 1473–1485 | Cite as

Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments

  • Dion Bennett
  • Matthew Reynolds
  • Daniel Mullan
  • Ali Izanloo
  • Haydn Kuchel
  • Peter Langridge
  • Thorsten Schnurbusch
Original Paper


A large proportion of the worlds’ wheat growing regions suffers water and/or heat stress at some stage during the crop growth cycle. With few exceptions, there has been no utilisation of managed environments to screen mapping populations under repeatable abiotic stress conditions, such as the facilities developed by the International Wheat and Maize Improvement Centre (CIMMYT). Through careful management of irrigation and sowing date over three consecutive seasons, repeatable heat, drought and high yield potential conditions were imposed on the RAC875/Kukri doubled haploid population to identify genetic loci for grain yield, yield components and key morpho-physiological traits under these conditions. Two of the detected quantitative trait loci (QTL) were located on chromosome 3B and had a large effect on canopy temperature and grain yield, accounting for up to 22 % of the variance for these traits. The locus on chromosome arm 3BL was detected under all three treatments but had its largest effect under the heat stress conditions, with the RAC875 allele increasing grain yield by 131 kg ha−1 (or phenotypically, 7 % of treatment average). Only two of the eight yield QTL detected in the current study (including linkage groups 3A, 3D, 4D 5B and 7A) were previously detected in the RAC875/Kukri doubled haploid population; and there were also different yield components driving grain yield. A number of discussion points are raised to understand differences between the Mexican and southern Australian production environments and explain the lack of correlation between the datasets. The two key QTL detected on chromosome 3B in the present study are candidates for further genetic dissection and development of molecular markers.


Quantitative Trait Locus Double Haploid Quantitative Trait Locus Analysis Canopy Temperature Haploid Population 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Thanks to Mayra Jacqueline Barcelo and Tamara Urbalejo Rodriguez, CIMMYT, Mexico, for dedicated management and assistance with phenotyping of the population in Obregon. Help from James Edwards and Julian Pietragalla with various aspects of the phenotyping is also gratefully acknowledged. A. Izanloo was supported by a PhD scholarship from the Ministry of Science, Research and Technology of Iran (MSRTI). We would like to thank the Generation Challenge Program, Grains Research and Development Corporation, the Australian Research Council and the South Australian State Government for funding this research.

Supplementary material

122_2012_1927_MOESM1_ESM.docx (38 kb)
Supplementary material (DOCX 37 kb)


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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Dion Bennett
    • 1
    • 2
  • Matthew Reynolds
    • 3
  • Daniel Mullan
    • 3
    • 4
  • Ali Izanloo
    • 1
    • 5
  • Haydn Kuchel
    • 2
  • Peter Langridge
    • 1
  • Thorsten Schnurbusch
    • 1
    • 6
  1. 1.Australian Centre for Plant Functional Genomics, Waite CampusUniversity of AdelaideGlen OsmondAustralia
  2. 2.Australian Grain TechnologiesRoseworthyAustralia
  3. 3.International Maize and Wheat Improvement Center (CIMMYT), Int.MexicoMexico
  4. 4.IntergrainPerthAustralia
  5. 5.Department of Agronomy and Plant Breeding, Faculty of AgricultureUniversity of BirjandBirjandIran
  6. 6.Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK)GaterslebenGermany

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