Skip to main content
SpringerLink
Log in

Evaluation of drought and heat tolerance in wheat based on seedling traits and molecular analysis

  • Research Article
  • Published:
Journal of Crop Science and Biotechnology Aims and scope Submit manuscript

Abstract

Polyethylene glycol and cell membrane stability (CMS) assay were used to evaluate drought and heat tolerance, respectively, among 14 wheat lines based on seedling traits and molecular analysis. Significant variation was evidenced for all the investigated seedling traits. Different levels of heritability and genetic advance were found among the tested traits, indicating whether the trait is controlled by additive or non-additive gene action. Drought caused a significant reduction in root and shoot lengths. However, root/shoot ratio under drought stress was increased. Root length showed a highly significant negative correlation with drought susceptibility index (DSI) under drought conditions. Cluster analysis based on seedling traits separated lines mainly by DSI and CMS. Some lines showed drought and heat tolerance by exhibiting a low DSI with high CMS. Sequence-related amplified polymorphism (SRAP) generated a total of 135 bands, with a level of polymorphism ranging from 30 to 86% among the tested lines. SRAP showed its efficiency in discriminating wheat genotypes by gathering all high-DSIlines in one sub-cluster and generating 10 and 3 unique and specific bands for high-DSI-lines and low-DSI-lines, respectively. These bands could be used for further work as SRAP markers associated with drought tolerance in wheat.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Ahmad M, Shabbir G, Minhas NM, Shah MKN. 2013. Identification of drought tolerant wheat genotypes based on seedling traits. Sarhad J. Agric. 29: 21–27

    Google Scholar 

  • Al-Doss AA, Elshafei AA, Moustafa KA, Saleh M, Barakat MN. 2011. Comparative analysis of diversity based on morphoagronomic traits and molecular markers in durum wheat under heat stress. Afr. J. Biotech. 10: 3671–3681

    CAS  Google Scholar 

  • Al-Doss AA, Saleh M, Moustafa KA, Elshafei AA, Barakat MN. 2010. Grain yield stability and molecular characterization of durum wheat genotypes under heat stress conditions. Afr. J. Agric. Res. 5: 3065–3074

    Google Scholar 

  • Allard R. 1964. Principles of Plant Breeding, John Wiley and Sons Inc, New York, London

    Google Scholar 

  • Atchison J, Head L. 2010. Wheat as food, wheat as industrial substance: comparative geographies of transformation and mobility. Geoforum 41: 236–246

    Article  Google Scholar 

  • Bai C, Liang Y, Hawkesford MJ. 2013. Identification of QTLs associated with seedling root traits and their correlation with plant height in wheat. J. Exp. Bot. 64: 1745–1753

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  • Blum A, Ebercon A. 1981. Cell membrane stability as a measure of drought and heat tolerance in wheat. Crop Sci. 21: 43–47

    Article  Google Scholar 

  • Budak H, Shearman RC, Parmaksiz I, Gaussoin RE, Riordan TR, Dewiak I. 2004. Molecular characterization of buffalograss germplasm using sequence-related amplified polymorphism markers. Theor. Appl. Genet. 108: 328–334

    Article  PubMed  CAS  Google Scholar 

  • Burton GW. 1952. Quantitative inheritance in grasses. Proceedings of the 6th International Grassland Congress, August 17-23, 1952. Pennsylvania State College, USA, pp 277–283

    Google Scholar 

  • Dellaporta SL, Wood J, Hicks JB. 1983. A plant DNA minipreparation: version II. Plant Mol. Biol. Rep. 1: 19–21

    Article  CAS  Google Scholar 

  • Dong P, Wei Y, Chen G, Li W, Wang J, Nevo E, Zheng Y. 2010. Sequence-related amplified polymorphism (SRAP) of wild emmer wheat (Triticum dicoccoides) in Israel and its ecological association. Biochem. Syst. Ecol. 38: 1–11

    Article  CAS  Google Scholar 

  • Eid MH. 2009. Estimation of heritability and genetic advance of yield traits in wheat (Triticum aestivum L.) under drought condition. Int. J. Genet Mol. Biol. 1: 115–120

    Google Scholar 

  • Eivazi AR, Naghavi MR, Hajeidari M, Pirseyedi SM, Ghaffari MR, Mohammadi SA, Majidi I, Salekedeh GH, Mardi M. 2007. Assessing wheat (Triticum aestivum L.) genetic diversity using quality traits, amplified fragment length polymorphism, simple sequence repeats and proteome analysis. Ann. Appl. Biol. 152: 81–91

    Article  Google Scholar 

  • El-Mouhammady AA, Rady MR, El-Seidy EH. 2014. Assessment of genetic variability for six lines of wheat using physiological traits and molecular markers technique under normal irrigation and water stress conditions. World Appl. Sci. J. 29: 506–516

    Google Scholar 

  • Elshafei AA, Saleh M, Al-Doss AA, Moustafa KA, Al-Qurainy FH, Barakat MN. 2013. Identification of new SRAP markers linked to leaf chlorophyll content, flag leaf senescence and cell membrane stability traits in wheat under water-stressed condition. Aust. J. Crop Sci. 7: 887–893

    CAS  Google Scholar 

  • El Siddig MA, Dweikat I, Baenziger S, El Hussein AA, Elbasyoni I. 2013. Genetic diversity among Sudanese wheat cultivars as revealed by molecular markers. Middle-East J. Sci. Res. 14: 1135–1142

    Google Scholar 

  • Ferriol M, Pico B, Nuez F. 2003. Genetic diversity of a germplasm collection of Cucurbita pepo using SRAP and AFLP markers. Theor. Appl. Genet. 107: 271–282

    Article  PubMed  CAS  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 

  • Gregory PJ. 2006. Roots and the architecture of root systems. In: Roots: Growth, Activity and Interactions with Soils. Oxford, Blackwell, pp 18–44

    Chapter  Google Scholar 

  • Han XY, Wang LS, Liu ZA, Jan DR, Shu QY. 2008. Characterization of sequence-related amplified polymorphism markers analysis of tree peony bud sports. Sci. Hort. 115: 261–267

    Article  CAS  Google Scholar 

  • Jaccard P. 1908. Nouvelles recherches sur la distribution florale. Bull. Soc. Vaud. Sci. Nat. 44: 223–270

    Google Scholar 

  • Johnson HW, Robinson HF, Comstock RE. 1955. Estimates of genetic and environmental variability in soybean. Agron. J. 47: 314–318

    Article  Google Scholar 

  • Khan N, Naqvi FN. 2011. Heritability of morphological traits in bread wheat advanced lines under irrigated and non-irrigated conditions. Asian J. Agric. Sci. 3: 215–222

    Google Scholar 

  • Lagerwerff JV, Ogata G, Eagle HE. 1961. Control of osmotic pressure of culture solutions with polyethylene glycol. Science 133: 1486–1487

    Article  PubMed  CAS  Google Scholar 

  • Li G, Quiros CF. 2001. Sequence-related amplified polymorphism (SRAP), a new marker system based on a simple PCR reaction: its application to mapping and gene tagging in Brassica. Theor. Appl. Genet. 103: 455–461

    Article  CAS  Google Scholar 

  • Lobell DB, Schlenker W, Costa-Roberts J. 2011. Climate trends and global crop production since 1980. Science 333: 616–620

    Article  PubMed  CAS  Google Scholar 

  • Nissen O. 1984. MSTAT. A microcomputer program for statistical analyses of experiments and surveys. In H Riley, AO Skjelvag, ed, The impact of climate on grass production and quality. Proc. General Meet Eur. Grassl. Fed., 10th, As, Norway. 26–30 June 1984. Norwegian State Agric. Res. Stations, As, pp 555–559

    Google Scholar 

  • Rauf M, Munir M, Hassan M, Ahmad M, Afzal M. 2006. Performance of wheat genotypes under osmotic stress at germination and early seedling growth stage. Afr. J. Biotech. 6: 971–975

    Google Scholar 

  • Roy SJ, Tucker EJ, Tester M. 2011. Genetic analysis of abiotic stress tolerance in crops. Curr. Opin. Plant Biol. 14: 232–239

    Article  PubMed  CAS  Google Scholar 

  • Salem KFM, El-Zanaty AM, Esmail RM. 2008. Assessing wheat (Triticum aestivum L.) genetic diversity using morphological characters and microsatellite markers. World J. Agric. Sci. 4: 538–544

    Google Scholar 

  • Sardana S, Mahjan R, Gautam N, Ram B. 2007. Genetic variability in pea (Pisum sativum L.) germplasm for utilization. SABRAO J. Breed. Genet. 39: 31–41

    Google Scholar 

  • Shafeeq S, Rahman M, Zafar Y. 2006. Genetic variability of different wheat (Triticum aestivum L.). Pak. J. Bot. 38: 1671–1678

    Google Scholar 

  • Shiferaw B, Smale B, Braun H-J, Duveiller E, Reynolds M, Muricho G. 2013. Crops that feed the world 10. Past successes and future challenges to the role played by wheat in global food security. Food Sec. 5: 291–317

    Article  Google Scholar 

  • Singh GP, Chaudhary HB, Rajbir Y, Tripathi S. 2008. Genetic analysis of moisture stress tolerance in segregating populations of bread wheat (T. aestivum L.). Ind. J. Agric. Sci. 78: 848–852

    Google Scholar 

  • Singh RK, Chaudhary BD. 1985. Biometrical methods in quantitative genetic analysis. Kalyani, New Delhi

    Google Scholar 

  • Soliman HIA, Hendawy MH. 2013. Selection for drought tolerance genotypes in durum wheat (Triticum durum Desf.) under in vitro conditions. Middle-East J. Sci. Res. 14: 69–78

    CAS  Google Scholar 

  • Stulnig TM, Amberger A. 1994. Exposing contaminating phenol in nucleic acid preparations. BioTechniques 16: 403–404

    Google Scholar 

  • Tyagi K, Park MR, Lee HJ, Lee CA, Rehman S, Steffenson B, Yun SJ. 2011. Fertile crescent region as source of drought tolerance at early stage of plant growth of wild barley (Hordeum vulgare L. Ssp. Spontaneum). Pak. J. Bot. 43: 475–486

    Google Scholar 

  • Valdez-Ojeda R, James-Kay A, Ku-Cauich J, Escobedo-GraciaMedrano RM. 2014. Genetic relationships among a collection of Musa germplasm by fluorescent-labled SRAP. Tree Genet. Genomes 10: 465–476

    Article  Google Scholar 

  • Wu Y, Cosgrove DJ. 2000. Adaptation of roots to low water potentials by changes in cell wall extensibility and cell wall proteins. J. Exp. Bot. 51: 1543–1553

    Article  PubMed  CAS  Google Scholar 

  • Yi YJ, Liu HY, Huang XQ, An LZ, Wang F, Wang XL. 2008. Development of molecular markers linked to the wheat powdery mildew resistance gene Pm4b and marker validation for molecular breeding. Plant Breed. 127: 116–120

    Article  CAS  Google Scholar 

  • Youssef M. 2012. Khirshyat 1.0: a simple micro-program for some molecular biology protocols. Genes, Genom. Genomics 6: 102–105

    Google Scholar 

  • Zaefizadeh M, Goliev R. 2009. Diversity and relationships among durum wheat landraces (subconvars) by SRAP and phenotypic marker polymorphism. Res. J. Biol. Sci. 4: 960–966

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Genetics Department, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt

    Mahmoud Abo Elsaud El-Rawy & Muhammad Youssef

Authors
  1. Mahmoud Abo Elsaud El-Rawy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Muhammad Youssef
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Muhammad Youssef.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

El-Rawy, M.A.E., Youssef, M. Evaluation of drought and heat tolerance in wheat based on seedling traits and molecular analysis. J. Crop Sci. Biotechnol. 17, 183–189 (2014). https://doi.org/10.1007/s12892-014-0053-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12892-014-0053-x

Key words

Search

Navigation