Skip to main content

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

Theoretical and Applied Genetics volume 125, pages 1473–1485 (2012)Cite this article

Abstract

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.

This is a preview of subscription content, access via your institution.

Access options

Buy single article

Instant access to the full article PDF.

43,34 €

Price includes VAT (Finland)
Tax calculation will be finalised during checkout.

Fig. 1
Fig. 2

References

  • Anitha R, Saranya G, Gomez SM, Biji KR, Kumar SS, Babu RC (2008) Identification of microsatellite markers associated with drought tolerance in rice (Oryza sativa L.) using bulked line analysis. Plant Arch 8:93–96

    Google Scholar 

  • Babar MA, van Ginkel M, Klatt AR, Prasad B, Reynolds M (2006) The potential of using spectral reflectance indices to estimate yield in wheat grown under reduced irrigation. Euphytica 150:155–172

    Article  Google Scholar 

  • Bennett D, Izanloo A, Edwards J, Kuchel H, Chalmers K, Tester M, Reynolds M, Schnurbusch T, Langridge P (2012a) Identification of novel quantitative trait loci for days to ear emergence and flag leaf glaucousness in a bread wheat (Triticum aestivum L.) population adapted to southern Australian conditions. Theor Appl Genet 124:697–711

    PubMed  Article  Google Scholar 

  • Bennett D, Izanloo A, Reynolds M, Kuchel H, Langridge P, Schnurbusch T (2012b) Genetic dissection of grain yield and physical grain quality in bread wheat (Triticum aestivum L.) under water limited environments. Theor Appl Genet. doi:10.1007/s00122-012-1831-9

  • Blum A, Sinmena B, Mayer J, Golan G, Shpiler L (1994) Stem reserve mobilization supports wheat grain filling under heat stress. Aust J Plant Physiol 21:771–781

    Article  Google Scholar 

  • Bonnin I, Rousset M, Madur D, Sourdille P, Dupuits L, Brunel D, Goldringer I (2008) FT genome A and D polymorphisms are associated with the variation of earliness components in hexaploid wheat. Theor Appl Genet 116:383–394

    PubMed  Article  CAS  Google Scholar 

  • Braun HJ, Rajaram S, van Ginkel M (1996) CIMMYT’s approach to breeding for wide adaptation. Euphytica 92:175–183

    Article  Google Scholar 

  • Brennan JP, Fox PN (1998) Impact of CIMMYT varieties on the genetic diversity of wheat in Australia, 1973–1993. Aust J Agric Res 49:175–178

    Article  Google Scholar 

  • Brennan JP, Quade KJ (2006) Evolving usage of materials from CIMMYT in developing Australian wheat varieties. Aust J Agric Res 57:947–952

    Article  Google Scholar 

  • Collins NC, Tardieu F, Tuberosa R (2008) Quantitative trait loci and crop performance under abiotic stress: where do we stand? Plant Physiol 147:469–486

    PubMed  Article  CAS  Google Scholar 

  • Coriton O, Barloy D, Huteau V, Lemoine J, Tanguy AM, Jahier J (2009) Assignment of Aegilops variabilis Eig chromosomes and translocations carrying resistance to nematodes in wheat. Genome 52:338–346

    PubMed  Article  CAS  Google Scholar 

  • Cuthbert JL, Somers DJ, Brule-Babel AL, Brown PD, Crow GH (2008) Molecular mapping of quantitative trait loci for yield and yield components in spring wheat (Triticum aestivum L.). Theor Appl Genet 117:595–608

    PubMed  Article  CAS  Google Scholar 

  • Diab AA, Kantety RV, Ozturk NZ, Benscher D, Nachit MM, Sorrells ME (2008) Drought-inducible genes and differentially expressed sequence tags associated with components of drought tolerance in durum wheat. Sci Res Essays 3:9–26

    Google Scholar 

  • Dolferus R, Ji XM, Richards RA (2011) Abiotic stress and control of grain number in cereals. Plant Sci 181:331–341

    PubMed  Article  CAS  Google Scholar 

  • Dreccer AF, Borgognone AG, Ogbonnaya FC, Trethowan RM, Winter B (2007) CIMMYT-selected derived synthetic bread wheats for rainfed environments: yield evaluation in Mexico and Australia. Field Crop Res 100:218–228

    Article  Google Scholar 

  • Fu JD, Yan YF, Kim MY, Lee SH, Lee BW (2011) Population-specific quantitative trait loci mapping for functional stay-green trait in rice (Oryza sativa L.). Genome 54:235–243

    PubMed  Article  CAS  Google Scholar 

  • Gibson LR, Paulsen GM (1999) Yield components of wheat grown under high temperature stress during reproductive growth. Crop Sci 39:1841–1846

    Article  Google Scholar 

  • Gilmour AR, Cullis BR, Verbyla AP (1997) Accounting for natural and extraneaus variation in the analysis of field experiments. J Agric Biol Environ Stat 2:269–293

    Article  Google Scholar 

  • Griffiths S, Simmonds J, Leverington M, Wang YK, Fish L, Sayers L, Alibert L, Orford S, Wingen L, Snape J (2012) Meta-QTL analysis of the genetic control of crop height in elite European winter wheat germplasm. Mol Breed 29:159–171

    Article  Google Scholar 

  • Houshmand S, Knox RE, Clarke FR, Clarke JM (2007) Microsatellite markers flanking a stem solidness gene on chromosome 3BL in durum wheat. Mol Breed 20:261–270

    Article  CAS  Google Scholar 

  • Izanloo A, Condon AG, Langridge P, Tester M, Schnurbusch T (2008) Different mechanisms of adaptation to cyclic water stress in two South Australian bread wheat cultivars. J Exp Bot 59:3327–3346

    PubMed  Article  CAS  Google Scholar 

  • Kinoshita T, Ono N, Hayashi Y, Morimoto S, Nakamura S, Soda M, Kato Y, Ohnishi M, Nakano T, Inoue S, Shimazaki K (2011) FLOWERING LOCUS T regulates stomatal opening. Curr Biol 21:1232–1238

    PubMed  Article  CAS  Google Scholar 

  • Kirigwi FM, Van Ginkel M, Brown-Guedira G, Gill BS, Paulsen GM, Fritz AK (2007) Markers associated with a QTL for grain yield in wheat under drought. Mol Breed 20:401–413

    Article  CAS  Google Scholar 

  • Kumar N, Kulwal PL, Balyan HS, Gupta PK (2007) QTL mapping for yield and yield contributing traits in two mapping populations of bread wheat. Mol Breed 19:163–177

    Article  Google Scholar 

  • Lillemo M, van Ginkel M, Trethowan RM, Hernandez E, Crossa J (2005) Differential adaptation of CIMMYT bread wheat to global high temperature environments. Crop Sci 45:2443–2453

    Article  Google Scholar 

  • Liu HY, Zou GH, Liu GL, Hu SP, Li MS, Yu XQ, Mei HW, Luo LJ (2005) Correlation analysis and QTL identification for canopy temperature, leaf water potential and spikelet fertility in rice under contrasting moisture regimes. Chin Sci Bull 50:317–326

    CAS  Google Scholar 

  • Ma J, Yan GJ, Liu CJ (2012) Development of near-isogenic lines for a major QTL on 3BL conferring Fusarium crown rot resistance in hexaploid wheat. Euphytica 183:147–152

    Article  Google Scholar 

  • Manschadi AM, Hammer GL, Christopher JT, de Voil P (2008) Genotypic variation in seedling root architectural traits and implications for drought adaptation in wheat (Triticum aestivum L.). Plant Soil 303:115–129

    Article  CAS  Google Scholar 

  • Mason RE, Mondal S, Beecher FW, Hays DB (2011) Genetic loci linking improved heat tolerance in wheat (Triticum aestivum L.) to lower leaf and spike temperatures under controlled conditions. Euphytica 180:181–194

    Article  Google Scholar 

  • Mathews KL, Chapman SC, Trethowan R, Pfeiffer W, van Ginkel M, Crossa J, Payne T, DeLacy I, Fox PN, Cooper M (2007) Global adaptation patterns of Australian and CIMMYT spring bread wheat. Theor Appl Genet 115:819–835

    PubMed  Article  Google Scholar 

  • Mathews KL, Malosetti M, Chapman S, McIntyre L, Reynolds M, Shorter R, van Eeuwijk F (2008) Multi-environment QTL mixed models for drought stress adaptation in wheat. Theor Appl Genet 117:1077-1091

    PubMed  Article  Google Scholar 

  • McIntosh RA, Yamazaki Y, Dubcovsky J, Rogers J, Morris C, Somers DJ, Appels R, Devos KM (2008) Catalogue of gene symbols for wheat. In: 11th international wheat genetics symposium. Sydney University Press, Brisbane

  • Naruoka Y, Talbert LE, Lanning SP, Blake NK, Martin JM, Sherman JD (2011) Identification of quantitative trait loci for productive tiller number and its relationship to agronomic traits in spring wheat. Theor Appl Genet 123:1043–1053

    PubMed  Article  CAS  Google Scholar 

  • Navakode S, Weidner A, Varshney RK, Lohwasser U, Scholz U, Roeder MS, Boerner A (2010) A Genetic Analysis of Aluminium Tolerance in Cereals. Agriculturae Conspectus Scientificus 75:191–196

    Google Scholar 

  • Nourse SM, Elings A, Brewbaker JL (1999) Quantitative trait loci associated with lime-induced chlorosis in recombinant inbred lines of maize. Maydica 44:293–299

    Google Scholar 

  • Olivares-Villegas JJ, Reynolds MP, McDonald GK (2007) Drought-adaptive attributes in the Seri/Babax hexaploid wheat population. Funct Plant Biol 34:189–203

    Article  Google Scholar 

  • Payne RW, Harding SA, Murray DA, Soutar DM, Baird DB, Welham SJ, Kane AF, Gilmour AR, Thompson R, Webster R, Tunnicliffe WG (2005) GenStat® release 8.2 reference manual. VSN International, Oxford

  • Pinto RS, Reynolds MP, Mathews KL, McIntyre CL, Olivares-Villegas JJ, Chapman SC (2010) Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects. Theor Appl Genet 121:1001–1021

    PubMed  Article  Google Scholar 

  • Rebetzke G, Condon A, Farquhar G, Appels R, Richards R (2008a) Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations. Theor Appl Genet 118:123–137

    PubMed  Article  CAS  Google Scholar 

  • Rebetzke GJ, van Herwaarden AF, Jenkins C, Weiss M, Lewis D, Ruuska S, Tabe L, Fettell NA, Richards RA (2008b) Quantitative trait loci for water-soluble carbohydrates and associations with agronomic traits in wheat. Aust J Agric Res 59:891–905

    Article  CAS  Google Scholar 

  • Rebetzke G, Barrett-Lennard E, Bennett D, Biddulph B, Chenu K, Deery D, Mayer J, Moeller C, Rattey A (2012) A multi-site, Managed Environment Facility (MEF) for targeted trait and germplasm phenotyping. Funct Plant Biol (in review)

  • Reynolds M, Manes Y, Izanloo A, Langridge P (2009) Phenotyping approaches for physiological breeding and gene discovery in wheat. Ann Appl Biol 155:309–320

    Article  Google Scholar 

  • Richards RA, Rawson HM, Johnson DA (1986) Glaucousness in wheat—its development and effect on water use efficiency, gas exchange and photosynthetic tissue temperatures. Aust J Plant Physiol 13:465–473

    Google Scholar 

  • Somers DJ, Isaac P, Edwards K (2004) A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet 109:1105–1114

    PubMed  Article  CAS  Google Scholar 

  • Sun D, Feng Y, Wang H, Min D, Li X (2008) Polymorphism of wheat TaFT gene expressional sequence and the impact to flowering dates. Acta Agronomica Sinica 34:1953–1957

    Article  CAS  Google Scholar 

  • Yang J, Hu C, Hu H, Yu R, Xia Z, Ye X, Zhu J (2008) QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations. Bioinformatics 24:721–723

    Google Scholar 

  • Zhang LY, Liu DC, Guo XL, Yang WL, Sun JZ, Wang DW, Zhang AM (2010) Genomic distribution of quantitative trait loci for yield and yield-related traits in common wheat. J Integr Plant Biol 52:996–1007

    Google Scholar 

Download references

Acknowledgments

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.

Author information

Author notes

  1. Daniel Mullan

    Present address: Intergrain, 19 Ambitious Link, Bibra Lake, Perth, WA, Australia

  2. Ali Izanloo

    Present address: Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Birjand, Birjand, Iran

  3. Thorsten Schnurbusch

    Present address: Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, 06466, Gatersleben, Germany

Affiliations

  1. Australian Centre for Plant Functional Genomics, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia

    Dion Bennett, Ali Izanloo, Peter Langridge & Thorsten Schnurbusch

  2. Australian Grain Technologies, Perkins Building, Roseworthy Campus, Roseworthy, SA, Australia

    Dion Bennett & Haydn Kuchel

  3. International Maize and Wheat Improvement Center (CIMMYT), Int., AP 6-641, 06600, Mexico, DF, Mexico

    Matthew Reynolds & Daniel Mullan

Authors
  1. Dion Bennett
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Matthew Reynolds
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Daniel Mullan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ali Izanloo
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Haydn Kuchel
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Peter Langridge
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Thorsten Schnurbusch
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dion Bennett.

Additional information

Communicated by J. Dubcovsky.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material (DOCX 37 kb)

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Bennett, D., Reynolds, M., Mullan, D. et al. Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments. Theor Appl Genet 125, 1473–1485 (2012). https://doi.org/10.1007/s00122-012-1927-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00122-012-1927-2

Keywords

  • Quantitative Trait Locus
  • Double Haploid
  • Quantitative Trait Locus Analysis
  • Canopy Temperature
  • Haploid Population