Theoretical and Applied Genetics

, Volume 127, Issue 7, pp 1607–1624 | Cite as

Genetic control of grain yield and grain physical characteristics in a bread wheat population grown under a range of environmental conditions

  • Lancelot Maphosa
  • Peter Langridge
  • Helen Taylor
  • Boris Parent
  • Livinus C. Emebiri
  • Haydn Kuchel
  • Matthew P. Reynolds
  • Ken J. Chalmers
  • Anzu Okada
  • James Edwards
  • Diane E. Mather
Original Paper


Key message

Genetic analysis of the yield and physical quality of wheat revealed complex genetic control, including strong effects of photoperiod-sensitivity loci.


Environmental conditions such as moisture deficit and high temperatures during the growing period affect the grain yield and grain characteristics of bread wheat (Triticum aestivum L.). The aim of this study was to map quantitative trait loci (QTL) for grain yield and grain quality traits using a Drysdale/Gladius bread wheat mapping population grown under a range of environmental conditions in Australia and Mexico. In general, yield and grain quality were reduced in environments exposed to drought and/or heat stress. Despite large effects of known photoperiod-sensitivity loci (Ppd-B1 and Ppd-D1) on crop development, grain yield and grain quality traits, it was possible to detect QTL elsewhere in the genome. Some of these QTL were detected consistently across environments. A locus on chromosome 6A (TaGW2) that is known to be associated with grain development was associated with grain width, thickness and roundness. The grain hardness (Ha) locus on chromosome 5D was associated with particle size index and flour extraction and a region on chromosome 3B was associated with grain width, thickness, thousand grain weight and yield. The genetic control of grain length appeared to be largely independent of the genetic control of the other grain dimensions. As expected, effects on grain yield were detected at loci that also affected yield components. Some QTL displayed QTL-by-environment interactions, with some having effects only in environments subject to water limitation and/or heat stress.


Quantitative Trait Locus Simple Sequence Repeat Marker Quantitative Trait Locus Analysis DArT Marker Test Weight 
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.



This work was funded by the New South Wales Government through its BioFirst initative (D2985-8), by the Australian Research Council (PFG002008), and the Grains Research and Development Corporation (ACP0002) and by scholarships awarded to the first author by the University of Adelaide and the Australian Centre for Plant Functional Genomics. The authors thank Howard Eagles for providing information about the allele combinations of the parents, and Paul Eckermann for advice on linkage mapping.

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical standards

The experiments reported here comply with the current laws of the countries in which they were performed.

Supplementary material

122_2014_2322_MOESM1_ESM.pdf (1 mb)
Supplementary material 1 (PDF 1037 kb)
122_2014_2322_MOESM2_ESM.pdf (370 kb)
Supplementary material 2 (PDF 369 kb)


  1. AACC (1999) Approved methods of the AACC. Association of Cereal Chemists, St. PaulGoogle Scholar
  2. Akbari M, Wenzl P, Caig V, Carling J, Xia L, Yang S, Uszynski G, Mohler V, Lehmensiek A, Kuchel H, Hayden M, Howes N, Sharp P, Vaughan P, Rathmell B, Huttner E, Kilian A (2006) Diversity arrays technology (DArT) for high-throughput profiling of the hexaploid wheat genome. Theor Appl Genet 113:1409–1420PubMedCrossRefGoogle Scholar
  3. Appelbee MJ, Mekuria GT, Nagasandra V, Bonneau JP, Eagles HA, Eastwood RF, Mather DE (2009) Novel allelic variants encoded at the Glu-D3 locus in bread wheat. J Cereal Sci 49:254–261CrossRefGoogle Scholar
  4. Beales J, Turner A, Griffiths S, Snape J, Laurie D (2007) A pseudo-response regulator is misexpressed in the photoperiod insensitive Ppd-D1a mutant of wheat (Triticum aestivum L.). Theor Appl Genet 115:721–733PubMedCrossRefGoogle Scholar
  5. Békés F (2012) New aspects in quality related wheat research: 1 challenges and achievements. Cereal Res Commun 40:159–184CrossRefGoogle Scholar
  6. Bennett D, Izanloo A, Reynolds M, Kuchel H, Langridge P, Schnurbusch T (2012a) Genetic dissection of grain yield and physical grain quality in bread wheat (Triticum aestivum L.) under water-limited environments. Theor Appl Genet 125:255–271PubMedCrossRefGoogle Scholar
  7. Bennett D, Reynolds M, Mullan D, Izanloo A, Kuchel H, Langridge P, Schnurbusch T (2012b) Detection of two major grain yield QTL in bread wheat (Triticum aestivum L.) under heat, drought and high yield potential environments. Theor Appl Genet 125:1473–1485PubMedCrossRefGoogle Scholar
  8. Bergman CJG, Gualberto DG, Campbell KG, Sorrells ME, Finney PL (2000) Kernel morphology variation in a population derived from a soft by hard wheat cross and associations with end-use quality traits. J Food Qual 23:391–407CrossRefGoogle Scholar
  9. Berman M, Bason ML, Ellison F, Peden G, Wrigley CW (1996) Image analysis of whole grains to screen for flour-milling yield in wheat breeding. Cereal Chem 73:323–327Google Scholar
  10. Bhave M, Morris C (2008) Molecular genetics of puroindolines and related genes: allelic diversity in wheat and other grasses. Plant Mol Biol 66:205–219PubMedCrossRefGoogle Scholar
  11. Bonneau J, Parent B, Bennett D, Reynolds M, Feuillet C, Langridge P, Mather D (2013) Multi-environment analysis and improved mapping of a yield-related QTL on chromosome 3B of wheat. Theor Appl Genet 126:747–761PubMedCrossRefGoogle Scholar
  12. Breseghello F, Sorrells ME (2007) QTL analysis of kernel size and shape in two hexaploid wheat mapping populations. Field Crop Res 101:172–179CrossRefGoogle Scholar
  13. Broman KW, Wu H, Sen Ś, Churchill GA (2003) R/qtl: QTL mapping in experimental crosses. Bioinformatics 19:889–890PubMedCrossRefGoogle Scholar
  14. Campbell KG, Bergman CJ, Gualberto DG, Anderson JA, Giroux MJ, Hareland G, Fulcher RG, Sorrells ME, Finney PL (1999) Quantitative trait loci associated with kernel traits in a soft × hard wheat cross. Crop Sci 39:1184–1195CrossRefGoogle Scholar
  15. Cane K, Spackman M, Eagles HA (2004) Puroindoline genes and their effects on grain quality traits in southern Australian wheat cultivars. Aust J Agric Res 55:89–95CrossRefGoogle Scholar
  16. Chen F, Beecher B, Morris C (2010) Physical mapping and a new variant of Puroindoline b-2 genes in wheat. Theor Appl Genet 120:745–751PubMedCrossRefGoogle Scholar
  17. Dholakia BB, Ammiraju JSS, Singh H, Lagu MD, Röder MS, Rao VS, Dhaliwal HS, Ranjekar PK, Gupta VS, Weber WE (2003) Molecular marker analysis of kernel size and shape in bread wheat. Plant Breed 122:392–395CrossRefGoogle Scholar
  18. Díaz A, Zikhali M, Turner AS, Isaac P, Laurie DA (2012) Copy number variation affecting the Photoperiod-B1 and Vernalization-A1 genes is associated with altered flowering time in wheat (Triticum aestivum). PLoS One 7:e33234. doi: 10.1371/journal.pone.0033234 PubMedCentralPubMedCrossRefGoogle Scholar
  19. Eagles HA, Cane K, Vallance N (2009) The flow of alleles of important photoperiod and vernalisation genes through Australian wheat. Crop Pasture Sci 60:646–657CrossRefGoogle Scholar
  20. Eagles HA, Cane K, Kuchel H, Hollamby GJ, Vallance N, Eastwood RF, Gororo NN, Martin PJ (2010) Photoperiod and vernalization gene effects in southern Australian wheat. Crop Pasture Sci 61:721–730CrossRefGoogle Scholar
  21. Fleury D, Jefferies S, Kuchel H, Langridge P (2010) Genetic and genomic tools to improve drought tolerance in wheat. J Exp Bot 61:3211–3222PubMedCrossRefGoogle Scholar
  22. Fu D, Szűcs P, Yan L, Helguera M, Skinner JS, von Zitzewitz J, Hayes PM, Dubcovsky J (2005) Large deletions within the first intron in VRN-1 are associated with spring growth habit in barley and wheat. Mol Genet Genom 273:54–65CrossRefGoogle Scholar
  23. Gale KR (2005) Diagnostic DNA markers for quality traits in wheat. J Cereal Sci 41:181–192CrossRefGoogle Scholar
  24. Gautier M-F, Aleman M-E, Guirao A, Marion D, Joudrier P (1994) Triticum aestivum puroindolines, two basic cystine-rich seed proteins: cDNA sequence analysis and developmental gene expression. Plant Mol Biol 25:43–57PubMedCrossRefGoogle Scholar
  25. Gegas VC, Nazari A, Griffiths S, Simmonds J, Fish L, Orford S, Sayers L, Doonan JH, Snape JW (2010) A genetic framework for grain size and shape variation in wheat. Plant Cell 22:1046–1056PubMedCentralPubMedCrossRefGoogle Scholar
  26. Geng H, Beecher BS, Zhonghu He Z, Morris CF (2012) Physical mapping of Puroindoline b-2 genes in wheat (Triticum aestivum L.) using ‘Chinese Spring’ chromosome group 7 deletion lines. Crop Sci 52:2674–2678CrossRefGoogle Scholar
  27. Gilmour AR, Cullis BR, Verbyla AP (1997) Accounting for natural and extraneous variation in the analysis of field experiments. J Agric Biol Environ Stat 2:269–293CrossRefGoogle Scholar
  28. Giroux MJ, Morris CF (1997) A glycine to serine change in puroindoline b is associated with wheat grain hardness and low levels of starch-surface friabilin. Theor Appl Genet 95:857–864CrossRefGoogle Scholar
  29. Gooding MJ, Ellis RH, Shewry PR, Schofield JD (2003) Effects of restricted water availability and increased temperature on the grain filling, drying and quality of winter wheat. J Cereal Sci 37:295–309CrossRefGoogle Scholar
  30. Griffiths S, Simmonds J, Leverington M, Wang Y, Fish L, Sayers L, Alibert L, Orford S, Wingen L, Herry L, Faure S, Laurie D, Bilham L, Snape J (2009) Meta-QTL analysis of the genetic control of ear emergence in elite European winter wheat germplasm. Theor Appl Genet 119:383–395PubMedCrossRefGoogle Scholar
  31. Groos CG, Robert NR, Bervas EB, Charmet GC (2003) Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat. Theor Appl Genet 106:1032–1040PubMedGoogle Scholar
  32. Guttieri MJ, Stark JC, O’Brien K, Souza E (2001) Relative sensitivity of spring wheat grain yield and quality parameters to moisture deficit. Crop Sci 41:327–335CrossRefGoogle Scholar
  33. Hanocq E, Niarquin M, Heumez E, Rousset M, Le Gouis J (2004) Detection and mapping of QTL for earliness components in a bread wheat recombinant inbred lines population. Theor Appl Genet 110:106–115PubMedCrossRefGoogle Scholar
  34. Hanocq E, Laperche A, Jaminon O, Lainé A, Le Gouis J (2007) Most significant genome regions involved in the control of earliness traits in bread wheat, as revealed by QTL meta-analysis. Theor Appl Genet 114:569–584PubMedCrossRefGoogle Scholar
  35. Hayden M, Nguyen T, Waterman A, McMichael G, Chalmers K (2008) Application of multiplex-ready PCR for fluorescence-based SSR genotyping in barley and wheat. Mol Breed 21:271–281CrossRefGoogle Scholar
  36. Huang X, Cloutier S, Lycar L, Radovanovic N, Humphreys D, Noll J, Somers D, Brown P (2006) Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.). Theor Appl Genet 113:753–766PubMedCrossRefGoogle Scholar
  37. Isidore E, van Os H, Andrzejewski S, Bakker J, Barrena I, Bryan GJ, Caromel B, van Eck H, Ghareeb B, de Jong W, van Koert P, Lefebvre V, Milbourne D, Ritter E, van der Voort JR, Rousselle-Bourgeois F, van Vliet J, Waugh R (2003) Toward a marker-dense meiotic map of the potato genome: lessons from linkage group I. Genetics 165:2107–2116PubMedCentralPubMedGoogle Scholar
  38. Kamran A, Iqbal M, Navabi A, Randhawa H, Pozniak C, Spaner D (2013) Earliness per se QTLs and their interaction with the photoperiod insensitive allele Ppd-D1a in the Cutler × AC Barrie spring wheat population. Theor Appl Genet 126:1965–1976PubMedCrossRefGoogle Scholar
  39. Kirigwi F, Van Ginkel M, Brown-Guedira G, Gill B, Paulsen G, Fritz A (2007) Markers associated with a QTL for grain yield in wheat under drought. Mol Breed 20:401–413CrossRefGoogle Scholar
  40. Kuchel H, Hollamby G, Langridge P, Williams K, Jefferies S (2006) Identification of genetic loci associated with ear-emergence in bread wheat. Theor Appl Genet 113:1103–1112PubMedCrossRefGoogle Scholar
  41. Kuchel H, Williams KJ, Langridge P, Eagles HA, Jefferies SP (2007) Genetic dissection of grain yield in bread wheat.I. QTL analysis. Theor Appl Genet 115:1029–1041PubMedCrossRefGoogle Scholar
  42. Labuschagne MT, Elago O, Koen E (2009) The influence of temperature extremes on some quality and starch characteristics in bread, biscuit and durum wheat. J Cereal Sci 49:184–189CrossRefGoogle Scholar
  43. Law CN, Worland AJ (1997) Genetic analysis of some flowering time and adaptive traits in wheat. New Phytol 137:19–28CrossRefGoogle Scholar
  44. Lesage VS, Merlino M, Chambon C, Bouchet B, Marion D, Branlard G (2012) Proteomes of hard and soft near-isogenic wheat lines reveal that kernel hardness is related to the amplification of a stress response during endosperm development. J Exp Bot 63:1001–1011PubMedCrossRefGoogle Scholar
  45. Maphosa L, Langridge P, Taylor H, Chalmers KJ, Bennett D, Kuchel H, Mather DE (2013) Genetic control of processing quality in a bread wheat mapping population grown in water-limited environments. J Cereal Sci 57:304–311CrossRefGoogle Scholar
  46. Marshall D, Ellison F, Mares D (1984) Effects of grain shape and size on milling yields in wheat. I. Theoretical analysis based on simple geometric models. Aust J Agric Res 35:619–630CrossRefGoogle Scholar
  47. Marshall D, Mares D, Moss H, Ellison F (1986) Effects of grain shape and size on milling yields in wheat. II. Experimental studies. Aust J Agric Res 37:331–342CrossRefGoogle Scholar
  48. Marza F, Bai G, Carver B, Zhou W (2006) Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark. Theor Appl Genet 112:688–698PubMedCrossRefGoogle Scholar
  49. McIntyre C, Mathews K, Rattey A, Chapman S, Drenth J, Ghaderi M, Reynolds M, Shorter R (2010) Molecular detection of genomic regions associated with grain yield and yield-related components in an elite bread wheat cross evaluated under irrigated and rainfed conditions. Theor Appl Genet 120:527–541PubMedCrossRefGoogle Scholar
  50. Miralles DJ, Slafer GA (2007) Sink limitations to yield in wheat: how could it be reduced? J Agric Sci 145:139–149CrossRefGoogle Scholar
  51. Mohler V, Schmolke M, Paladey E, Seling S, Hartl L (2012) Association analysis of Puroindoline-D1 and Puroindoline b-2 loci with 13 quality traits in European winter wheat (Triticum aestivum L.). J Cereal Sci 56:623–628CrossRefGoogle Scholar
  52. Morris CF (2002) Puroindolines: the molecular genetic basis of wheat grain hardness. Plant Mol Biol 48:633–647PubMedCrossRefGoogle Scholar
  53. Pallotta MA, Graham RD, Langridge P, Sparrow DHB, Barker SJ (2000) RFLP mapping of manganese efficiency in barley. Theor Appl Genet 101:1100–1108CrossRefGoogle Scholar
  54. Payne RW, Murray DA, Harding SA, Baird DB, Soutar DM (2009) GenStat for Windows, 12th edn. Introduction, VSN International, Hemel HempsteadGoogle Scholar
  55. Prashant R, Kadoo N, Desale C, Kore P, Dhaliwal HS, Chhuneja P, Gupta V (2012) Kernel morphometric traits in hexaploid wheat (Triticum aestivum L.) are modulated by intricate QTL × QTL and genotype × environment interactions. J Cereal Sci 56:432–439CrossRefGoogle Scholar
  56. RACI-CCD CHK (2010) Official testing methods of the Cereal Chemistry division, 4th edn. NSW, AustraliaGoogle Scholar
  57. Rebetzke GJ, Condon AG, Farquhar GD, Appels R, Richards RA (2008) Quantitative trait loci for carbon isotope discrimination are repeatable across environments and wheat mapping populations. Theor Appl Genet 118:123–137PubMedCrossRefGoogle Scholar
  58. Rogowsky PM, Guidet FLY, Langridge P, Shepherd KW, Koebner RMD (1991) Isolation and characterization of wheat-rye recombinants involving chromosome arm 1DS of wheat. Theor Appl Genet 82:537–544PubMedCrossRefGoogle Scholar
  59. Snape JW, Sarma R, Quarrie SA, Fish L, Galiba G, Sutka J (2001) Mapping genes for flowering time and frost tolerance in cereals using precise genetic stocks. Euphytica 120:309–315CrossRefGoogle Scholar
  60. Snape J, Foulkes M, Simmonds J, Leverington M, Fish L, Wang Y, Ciavarrella M (2007) Dissecting gene × environmental effects on wheat yields via QTL and physiological analysis. Euphytica 154:401–408CrossRefGoogle Scholar
  61. Somers D, Isaac P, Edwards K (2004) A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet 109:1105–1114PubMedCrossRefGoogle Scholar
  62. Su Z, Hao C, Wang L, Dong Y, Zhang X (2011) Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (Triticum aestivum L.). Theor Appl Genet 122:211–223PubMedCrossRefGoogle Scholar
  63. Sun X-Y, Wu K, Zhao Y, Kong F-M, Han G-Z, Jiang H-M, Huang X-J, Li R-J, Wang H-G, Li S-S (2009) QTL analysis of kernel shape and weight using recombinant inbred lines in wheat. Euphytica 165:615–624CrossRefGoogle Scholar
  64. Trevaskis B, Hemming MN, Dennis ES, Peacock WJ (2007) The molecular basis of vernalization-induced flowering in cereals. Trends Plant Sci 12:352–357PubMedCrossRefGoogle Scholar
  65. Tsilo T, Hareland G, Simsek S, Chao S, Anderson J (2010) Genome mapping of kernel characteristics in hard red spring wheat breeding lines. Theor Appl Genet 121:717–730PubMedCrossRefGoogle Scholar
  66. Tsilo TJ, Hareland GA, Chao S, Anderson JA (2011) Genetic mapping and QTL analysis of flour color and milling yield related traits using recombinant inbred lines in hard red spring wheat. Crop Sci 51:237–246CrossRefGoogle Scholar
  67. Varshney RK, Prasad M, Roy JK, Kumar N, Harjit S, Dhaliwal HS, Balyan HS, Gupta PK (2000) Identification of eight chromosomes and a microsatellite marker on 1AS associated with QTL for grain weight in bread wheat. Theor Appl Genet 100:1290–1294CrossRefGoogle Scholar
  68. Voorrips RE (2002) MapChart: software for the graphical presentation of linkage maps and QTLs. J Hered 93:77–78PubMedCrossRefGoogle Scholar
  69. Wang G, Leonard J, Ross A, Peterson CJ, Zemetra R, Garland Campbell K, Riera-Lizarazu O (2012) Identification of genetic factors controlling kernel hardness and related traits in a recombinant inbred population derived from a soft × ‘extra-soft’ wheat (Triticum aestivum L.) cross. Theor Appl Genet 124:207–221PubMedCrossRefGoogle Scholar
  70. Weightman RM, Millar S, Alava J, John Foulkes M, Fish L, Snape JW (2008) Effects of drought and the presence of the 1BL/1RS translocation on grain vitreosity, hardness and protein content in winter wheat. J Cereal Sci 47:457–468CrossRefGoogle Scholar
  71. Wenzl P, Carling J, Kudrna D, Jaccoud D, Huttner E, Kleinhofs A, Kilian A (2004) Diversity arrays technology (DArT) for whole-genome profiling of barley. Proc Natl Acad Sci USA 101:9915–9920PubMedCentralPubMedCrossRefGoogle Scholar
  72. Wilkinson M, Wan Y, Tosi P, Leverington M, Snape J, Mitchell RAC, Shewry PR (2008) Identification and genetic mapping of variant forms of puroindoline b expressed in developing wheat grain. J Cereal Sci 48:722–728CrossRefGoogle Scholar
  73. Worland AJ, Appendino ML, Sayers EJ (1994) The distribution, in European winter wheats, of genes that influence ecoclimatic adaptability whilst determining photoperiodic insensitivity and plant height. Euphytica 80:219–228CrossRefGoogle Scholar
  74. Worland AJ, Borner A, Korzun V, Li WM, Petrovic S, Sayers EJ (1998) The influence of photoperiod genes on the adaptability of European winter wheats (Reprinted from Wheat: prospects for global improvement, 1998). Euphytica 100:385–394CrossRefGoogle Scholar
  75. Wu X, Chang X, Jing R (2011) Genetic analysis of carbon isotope discrimination and its relation to yield in a wheat doubled haploid population. J Integr Plant Biol 53:719–730PubMedGoogle Scholar
  76. Xiang-Zheng L, Jin W, Rong-Hua Z, Zheng-Long R, Ji-Zeng J (2008) Mining favorable alleles of QTLs conferring thousand-grain weight from synthetic wheat. Acta Agronomica Sinica 34:1877–1884CrossRefGoogle Scholar
  77. Xiao Y, He S, Yan J, Zhang Y, Zhang Y, Wu Y, Xia X, Tian J, Ji W, He Z (2011) Molecular mapping of quantitative trait loci for kernel morphology traits in a non-1BL.1RS × 1BL.1RS wheat cross. Crop Pasture Sci 62:625–638CrossRefGoogle Scholar
  78. Yan L, Helguera M, Kato K, Fukuyama S, Sherman J, Dubcovsky J (2004) Allelic variation at the VRN-1 promoter region in polyploid wheat. Theor Appl Genet 109:1677–1686PubMedCrossRefGoogle Scholar
  79. Yoshida T, Nishida H, Zhu J, Nitcher R, Distelfeld A, Akashi Y, Kato K, Dubcovsky J (2010) Vrn-D4 is a vernalization gene located on the centromeric region of chromosome 5D in hexaploid wheat. Theor Appl Genet 120:543–552PubMedCrossRefGoogle Scholar
  80. Zadoks JC, Chang TT, Konzak CF (1974) A decimal code for the growth stages of cereals. Weed Res 14:415–421CrossRefGoogle Scholar
  81. Zhao X, Ma W, Gale K, Lei Z, He Z, Sun Q, Xia X (2007a) Identification of SNPs and development of functional markers for LMW-GS genes at Glu-D3 and Glu-B3 loci in bread wheat (Triticum aestivum L.). Mol Breed 20:223–231CrossRefGoogle Scholar
  82. Zhao X, Xia X, He Z, Lei Z, Appels R, Yang Y, Sun Q, Ma W (2007b) Novel DNA variations to characterize low molecular weight glutenin Glu-D3 genes and develop STS markers in common wheat. Theor Appl Genet 114:451–460PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Lancelot Maphosa
    • 1
    • 6
  • Peter Langridge
    • 1
  • Helen Taylor
    • 2
  • Boris Parent
    • 1
    • 7
  • Livinus C. Emebiri
    • 3
  • Haydn Kuchel
    • 8
  • Matthew P. Reynolds
    • 4
  • Ken J. Chalmers
    • 1
  • Anzu Okada
    • 1
  • James Edwards
    • 5
  • Diane E. Mather
    • 1
  1. 1.Australian Centre for Plant Functional Genomics and School of Agriculture, Food and Wine, Waite Research InstituteThe University of AdelaideGlen OsmondAustralia
  2. 2.New South Wales Department of Primary IndustriesWagga WaggaAustralia
  3. 3.E.H. Graham Centre for Agricultural InnovationNew South Wales Department of Primary Industries and Charles Sturt UniversityWagga WaggaAustralia
  4. 4.Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT)MexicoMexico
  5. 5.Australian Grain TechnologiesGlen OsmondAustralia
  6. 6.Department of Environment and Primary IndustriesHorshamAustralia
  7. 7.Laboratoire d’Ecophysiologie des Plantes sous Stress Environnementaux, Institut National de Recherches Agronomiques (INRA)MontpellierFrance
  8. 8.Australian Grain Technologies and School of Agriculture, Food and Wine, Waite Research InstituteThe University of AdelaideGlen OsmondAustralia

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