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QTL for yield, yield components and canopy temperature depression in wheat under late sown field conditions

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Abstract

A wheat (Triticum aestivum L.) recombinant inbred line (RIL) population was used to identify quantitative trait loci (QTL) associated with yield, yield components, and canopy temperature depression (CTD) under field conditions. The RIL population, consisting of 118 lines derived from a cross between the stress tolerant cultivar ‘Halberd’ and heat stress sensitive cultivar ‘Karl92’, was grown under optimal and late sown conditions to impose heat stress. Yield and yield components including biomass, spikes m−2, thousand kernel weight, kernel weight and kernel number per spike, as well as single kernel characteristics were determined. In addition, CTD was measured during both moderate (32–33 °C) and extreme heat stress (36–37 °C) during grain-filling. Yield traits showed moderate to high heritability across environments with a large percentage of the variance explained by genetic effects. Composite interval mapping detected 25 stable QTL for the 15 traits measured, with the amount of phenotypic variation explained by individual QTL ranging from 3.5 to 27.1 %. Two QTL for both yield and CTD were co-localized on chromosomes 3BL and 5DL and were independent of phenological QTL. At both loci, the allele from Halberd was associated with both higher yield and a cooler crop canopy. The QTL on 3BL was also pleiotropic for biomass, spikes m−2, and heat susceptibility index. This region as well as other QTL identified in this study may serve as potential targets for fine mapping and marker assisted selection for improving yield potential and stress adaptation of wheat.

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Abbreviations

QTL:

Quantitative trait loci

RIL:

Recombinant inbred line

CTD:

Canopy temperature depression

HSI:

Heat susceptibility index

References

  • Araus JL, Slafer GA, Royo C, Serret MD (2008) Breeding for yield potential and stress adaptation in cereals. Crit Rev Plant Sci 27:377–412

    Article  Google Scholar 

  • Asins MJ (2002) Present and future of quantitative trait locus analysis in plant breeding. Plant Breed 121:281–291

    Article  Google Scholar 

  • Ayeneh A, van Ginkel M, Reynolds MP, Ammar K (2002) Comparison of leaf, spike, peduncle and canopy temperature depression in wheat under heat stress. Field Crops Res 79:173–184

    Article  Google Scholar 

  • Balota M, William AP, Evett SR, Peters TR (2008) Morphological and physiological traits associated with canopy temperature depression in three closely related wheat lines. Crop Sci 48:1897–1910

    Article  Google Scholar 

  • 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 125:255–271

    Article  PubMed  Google Scholar 

  • 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 125:1473–1485

    Article  PubMed  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

    Article  PubMed  CAS  Google Scholar 

  • Dwivedi SL, Crouch JH, Mackill DJ, Xu Y, Blair MW, Ragot M, Upadhyaya HD, Ortiz R (2007) The molecularization of public sector crop breeding: progress, problems, and prospects. In: Sparks DL (ed) Advances in agronomy, vol 95. Elsevier Academic Press Inc., San Diego, pp 163–318

    Google Scholar 

  • Fischer RA, Maurer R (1978) Drought resistance in spring wheat cultivars: 1. Grain-yield responses. Aust J Agric Res 29:897–912

    Article  Google Scholar 

  • Galiba G, Quarrie SA, Sutka J, Morgounov A, Snape JW (1995) RFLP mapping of the vernalization (VRN1) and frost-tolerance (FR1) genes on chromosome 5A of wheat. Theor Appl Genet 90:1174–1179

    Article  CAS  Google Scholar 

  • Graybosch RA, Peterson CJ (2012) Specific adaptation and genetic progress for grain yield in Great Plains hard winter wheats from 1987 to 2010. Crop Sci 52:631–643

    Article  Google Scholar 

  • Groos C, Robert N, Bervas E, Charmet G (2003) Genetic analysis of grain protein-content, grain yield and thousand-kernel weight in bread wheat. Theor Appl Genet 106:1032–1040

    PubMed  CAS  Google Scholar 

  • Gutierrez-Rodriguez M, Reynolds MP, Larque-Saavedra A (2000) Photosynthesis of wheat in a warm, irrigated environment–II. Traits associated with genetic gains in yield. Field Crops Res 66:51–62

    Article  Google Scholar 

  • Hai L, Guo HJ, Wagner C, Xiao SH, Friedt W (2008) Genomic regions for yield and yield parameters in Chinese winter wheat (Triticum aestivum L.) genotypes tested under varying environments correspond to QTL in widely different wheat materials. Plant Sci 175:226–232

    Article  CAS  Google Scholar 

  • 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 110:106–115

    Article  PubMed  CAS  Google Scholar 

  • Hanocq E, Laperche A, Jaminon O, Laine AL, 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 114:569–584

    Article  PubMed  CAS  Google Scholar 

  • Hays DB, Do JH, Mason RE, Morgan G, Finlayson SA (2007) Heat stress induced ethylene production in developing wheat grains induces kernel abortion and increased maturation in a susceptible cultivar. Plant Sci 172:1113–1123

    Article  CAS  Google Scholar 

  • Hede AR, Skovmand B, Reynolds MP, Crossa J, Vilhelmsen AL, Stolen O (1999) Evaluating genetic diversity for heat tolerance traits in Mexican wheat landraces. Genet Res Crop Evol 46:37–45

    Article  Google Scholar 

  • Huang XQ, Cloutier S, Lycar L, Radovanovic N, Humphreys DG, Noll JS, Somers DJ, Brown PD (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 113:753–766

    Article  PubMed  CAS  Google Scholar 

  • Kato K, Miura H, Sawada S (2000) Mapping QTLs controlling grain yield and its components on chromosome 5A of wheat. Theor Appl Genet 101:1114–1121

    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 

  • Kuchel H, Williams K, Langridge P, Eagles H, Jefferies S (2007a) Genetic dissection of grain yield in bread wheat. I. QTL analysis. Theor Appl Genet. doi:10.1007/s00122-007-0629-7

    Google Scholar 

  • Kuchel H, Williams K, Langridge P, Eagles H, Jefferies S (2007b) Genetic dissection of grain yield in bread wheat. II. QTL-by-environment interaction. Theor Appl Genet. doi:10.1007/s00122-007-0628-8

    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 

  • Law CN, Worland AJ, Giorgi B (1976) Genetic-control of ear-emergence time by chromosomes-5A and chromosomes-5D of wheat. Heredity 36:49–58

    Article  Google Scholar 

  • Lopes MS, Reynolds MP, Manes Y, Singh RP, Crossa J, Braun HJ (2012) Genetic yield gains and changes in associated traits of CIMMYT spring bread wheat in a “historic” set representing 30 years of breeding. Crop Sci 52:1123–1131

    Article  Google Scholar 

  • Maccaferri M, Sanguineti MC, Corneti S, Ortega JLA, Salem MB, Bort J, DeAmbrogio E, del Moral LFG, Demontis A, El-Ahmed A, Maalouf F, Machlab H, Martos V, Moragues M, Motawaj J, Nachit M, Nserallah N, Ouabbou H, Royo C, Slama A, Tuberosa R (2008) Quantitative trait loci for grain yield and adaptation of durum wheat (Triticum durum Desf.) across a wide range of water availability. Genetics 178:489–511

    Article  PubMed  Google Scholar 

  • Marza F, Bai GH, Carver BF, Zhou WC (2006) Quantitative trait loci for yield and related traits in the wheat population Ning7840 × Clark. Theor Appl Genet 112:688–698

    Article  PubMed  CAS  Google Scholar 

  • Mason RE, Mondal S, Beecher FW, Pacheco A, Jampala B, Ibrahim A, Hays DB (2010) QTL associated with heat susceptibility index in wheat (Triticum aestivum L.) under short-term reproductive stage heat stress. Euphytica 174:423–436

    Article  Google Scholar 

  • Mason ER, Mondal S, Beecher F, Hays D (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 

  • McCartney CA, Somers DJ, Humphreys DG, Lukow O, Ames N, Noll J, Cloutier S, McCallum BD (2005) Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross RL4452 × ‘AC Domain’. Genome 48:870–883

    Article  PubMed  CAS  Google Scholar 

  • McIntyre CL, Mathews KL, Rattey A, Chapman SC, 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 120:527–541

    Article  PubMed  CAS  Google Scholar 

  • Nelson JC, Sorrells ME, Vandeynze AE, Lu YH, Atkinson M, Bernard M, Leroy P, Faris JD, Anderson JA (1995) Molecular mapping of wheat—major genes and rearrangements in homeologous group-4, group-5, and group-7. Genetics 141:721–731

    PubMed  CAS  Google Scholar 

  • Ortiz R, Sayre KD, Govaerts B, Gupta R, Subbarao GV, Ban T, Hodson D, Dixon JA, Ortiz-Monasterio JI, Reynolds M (2008) Climate change: can wheat beat the heat? Agric Ecosyst Environ 126:46–58

    Article  Google Scholar 

  • Panozzo JF, Eagles HA, Cawood RJ, Wootton M (1999) Wheat spike temperatures in relation to varying environmental conditions. Aust J Agric Res 50:997–1005

    Article  Google Scholar 

  • Paux E, Sourdille P, Salse J, Saintenac C, Choulet F, Leroy P, Korol A, Michalak M, Kianian S, Spielmeyer W, Lagudah E, Somers D, Kilian A, Alaux M, Vautrin S, Berges H, Eversole K, Appels R, Safar J, Simkova H, Dolezel J, Bernard M, Feuillet C (2008) A physical map of the 1-gigabase bread wheat chromosome 3B. Science 322:101–104

    Article  PubMed  CAS  Google Scholar 

  • Peleg Z, Fahima T, Krugman T, Abbo S, Yakir D, Korol AB, Saranga Y (2009) Genomic dissection of drought resistance in durum wheat x wild emmer wheat recombinant inbreed line population. Plant Cell Environ 32:758–779

    Article  PubMed  CAS  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • Price AH (2006) Believe it or not, QTLs are accurate! Trends Plant Sci 11:213–216

    Article  PubMed  CAS  Google Scholar 

  • Quarrie SA, Steed A, Calestani C, Semikhodskii A, Lebreton C, Chinoy C, Steele N, Pljevljakusic D, Waterman E, Weyen J, Schondelmaier J, Habash DZ, Farmer P, Saker L, Clarkson DT, Abugalieva A, Yessimbekova M, Turuspekov Y, Abugalieva S, Tuberosa R, Sanguineti MC, Hollington PA, Aragues R, Royo A, Dodig D (2005) A high-density genetic map of hexaploid wheat (Triticum aestivum L.) from the cross Chinese Spring X SQ1 and its use to compare QTLs for grain yield across a range of environments. Theor Appl Genet 110:865–880

    Article  PubMed  CAS  Google Scholar 

  • Raman R, Allen H, Diffey S, Raman H, Martin P, McKelvie K (2009) Localisation of quantitative trait loci for quality attributes in a doubled haploid population of wheat (Triticum aestivum L.). Genome 52:701–715

    Article  PubMed  CAS  Google Scholar 

  • Rebetzke GJ, Bruce SE, Kirkegaard JA (2005) Longer coleoptiles improve emergence through crop residues to increase seedling number and biomass in wheat (Triticum aestivum L.). Plant Soil 272:87–100

    Article  CAS  Google Scholar 

  • Rebetzke GJ, Ellis MH, Bonnett DG, Richards RA (2007) Molecular mapping of genes for coleoptile growth in bread wheat (Triticum aestivum L.). Theor Appl Genet 114:1173–1183

    Article  PubMed  CAS  Google Scholar 

  • Reynolds MP, Delgado MI, Gutierrez-Rodriguez M, Larque-Saavedra A (2000) Photosynthesis of wheat in a warm, irrigated environment. I: genetic diversity and crop productivity. Field Crops Res 66:37–50

    Article  Google Scholar 

  • Reynolds MP, Hobbs PR, Braun HJ (2007a) Challenges to international wheat improvement. J Agric Sci 145:223–227

    Article  Google Scholar 

  • Reynolds MP, Saint Pierre C, Saad ASI, Vargas M, Condon AG (2007b) Evaluating potential genetic gains in wheat associated with stress-adaptive trait expression in elite genetic resources under drought and heat stress. Crop Sci 47:S172–S189

    Article  Google Scholar 

  • Sax K (1923) The association of size differences with seed-coat pattern and pigmentation in phaseolus vulgaris. Genetics 8:552–560

    PubMed  CAS  Google Scholar 

  • Stamm P, Ramamoorthy R, Kumar PP (2011) Feeding the extra billions: strategies to improve crops and enhance future food security. Plant Biotech Rep 5:107–120

    Article  Google Scholar 

  • Wang S, Basten CJ, Zeng ZB (2007) Windows QTL cartographer 2.5. Department of Statistics, North Carolina State University, Raleigh

  • Wang RX, Hai L, Zhang XY, You GX, Yan CS, Xiao SH (2009) QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai X Yu8679. Theor Appl Genet 118:313–325

    Article  PubMed  CAS  Google Scholar 

  • Yang J, Sears RG, Gill BS, Paulsen GM (2002a) Genotypic differences in utilization of assimilate sources during maturation of wheat under chronic heat and heat shock stresses. Utilization of assimilate sources by wheat under heat stresses. Euphytica 125:179–188

    Article  CAS  Google Scholar 

  • Yang J, Sears RG, Gill BS, Paulsen GM (2002b) Quantitative and molecular characterization of heat tolerance in hexaploid wheat. Euphytica 126:275–282

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This research was supported by the Agriculture and Food Research Initiative competitive grant #2012-67013-19436 of the USDA National Institute of Food and Agriculture to Esten Mason and the Agriculture and Food Research Initiative Competitive Grant #2010-65114-20389 from the USDA National Institute of Food and Agriculture to Dirk B. Hays.  This study was also supported in part by grants from the Arkansas Wheat Promotion Board.

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Authors and Affiliations

  1. Department of Crop, Soil, and Environmental Sciences, University of Arkansas, 115 Plant Sciences Building, Fayetteville, AR, 72701, USA

    R. Esten Mason

  2. Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA

    Dirk B. Hays & Amir M. H. Ibrahim

  3. International Maize and Wheat Improvement Center (CIMMYT), Apdo Postal 6-641, C.P. 06600, Texcoco, DF, Mexico

    Suchismita Mondal & Bhoja R. Basnet

Authors
  1. R. Esten Mason
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  2. Dirk B. Hays
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  3. Suchismita Mondal
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  4. Amir M. H. Ibrahim
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  5. Bhoja R. Basnet
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Correspondence to R. Esten Mason.

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Mason, R.E., Hays, D.B., Mondal, S. et al. QTL for yield, yield components and canopy temperature depression in wheat under late sown field conditions. Euphytica 194, 243–259 (2013). https://doi.org/10.1007/s10681-013-0951-x

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  • DOI: https://doi.org/10.1007/s10681-013-0951-x

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