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Molecular Biology Reports

, Volume 45, Issue 6, pp 2441–2453 | Cite as

Genetic diversity and genetic variation in morpho-physiological traits to improve heat tolerance in Spring barley

  • Ahmed SallamEmail author
  • Ahmed Amro
  • Ammar EL-Akhdar
  • Mona F. A. Dawood
  • Toshihiro Kumamaru
  • P. Stephen Baenziger
Original Article

Abstract

Heat stress is one of the abiotic stresses that limit the production and productivity of barley. Understanding the genetic variation, changes in physiological processes and level of genetic diversity existing among genotypes are needed to produce new cultivars not only having a high tolerance to heat stress, but also displaying high yield. To address this challenge, a set of 60 highly homozygous, diverse barley genotypes were evaluated under normal and heat stress conditions in two seasons of 2014/2015 and 2015/2016. Seedling vigor (SV) as a morphological trait was visually scored under normal conditions. Plant height (Ph), days to flowering (DOF), 1000-kernel weight (TKW), grain yield per spike (GYPS), yield per plot (YPP) and biological yield (BY) were measured. Moreover, proline content (ProC), soluble carbohydrate content (SCC), starch content, soluble protein (SP), and amino acid (AA) content as physiological parameters were analyzed from the grains. High genetic variation was observed among genotypes for all traits scored in this study. All traits had high broad-sense heritability estimates ranging from 0.59 (SV) to 0.97 (TKW) for yield traits. Seedling vigor was significantly correlated with all yield traits under both conditions. Among all physiological traits, the increase in ProC and reduction in starch content due to heat stress had significant correlations with the reduction due to heat stress in YPP, GYPS, TKW, and BY. Furthermore, the genetic diversity based on genetic distance (GD) among genotypes was investigated using 206 highly polymorphic SSR marker alleles. The GD ranged from 0.70 to 0.98 indicating that these genotypes are highly and genetically dissimilar. The combination of analyses using molecular markers, genetic variation in yield traits, and changes in physiological traits provided useful information in identifying the tolerant genotypes which can be used to improve heat tolerance in barley through breeding.

Keywords

Hordeum vulgare High temperature Physiological traits Genetic variation SSR 

Abbreviations

SV

Seedling vigor

PH

Plant height

DOF

Days of flowering

YPP

Yield per plot

TKW

Thousand kernel weights

GYPS

Grain yield per spike

BY

Biological yield

SP

Soluble proteins

ProC

Proline content

SCC

Soluble carbohydrate content

AA

Amino acids

RDH

Reduction due to heat stress

IDH

Increase due to heat stress

Notes

Acknowledgements

We would like to thank the technical assistants at Department of Genetic, Assiut University for their support in field experiments and trait scoring.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interests.

Supplementary material

11033_2018_4410_MOESM1_ESM.xlsx (65 kb)
Supplementary material 1 (XLSX 65 KB)

References

  1. 1.
    Paulsen GM (1994) High temperature responses of crop plants. In: Boote KJ, Bennett JM, Sinclair TR et al (eds) Physiology and determination of crop yield. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, pp 365–389Google Scholar
  2. 2.
    Sallam A, Hashad M, Hamed E, Omara M (2015) Genetic variation of stem characters in wheat and their relation to kernel weight under drought and heat stresses. J Crop Sci Biotechnol 18:137–146CrossRefGoogle Scholar
  3. 3.
    Wardlaw IF, Wrigley CW (1994) Heat tolerance in temperate cereals: an overview. Aust J Plant Physiol 21:695–703Google Scholar
  4. 4.
    Maxted N, Bennett SJ (2001) Plant genetic resources of legumes in the mediterranean. Springer, DordrechtCrossRefGoogle Scholar
  5. 5.
    Gent MPN, Kiyomoto RK (1985) Comparison of canopy and flag leaf net carbon dioxide exchange of 1920 and 1977 New York winter wheats1. Crop Sci 25:81.  https://doi.org/10.2135/cropsci1985.0011183X002500010021x CrossRefGoogle Scholar
  6. 6.
    McCullough DE, Hunt LA (1989) Respiration and dry matter accumulation around the time of anthesis in field stands of winter wheat (Triticum aestivum). Ann Bot 63:321–329CrossRefGoogle Scholar
  7. 7.
    Chinnusamy V, Khanna-Chopra R (2003) Effect of heat stress on grain starch content in diploid, tetraploid and hexaploid wheat species. J Agron Crop Sci 189:242–249.  https://doi.org/10.1046/j.1439-037X.2003.00036.x CrossRefGoogle Scholar
  8. 8.
    Hawker J, Jenner C (1993) High temperature affects the activity of enzymes in the committed pathway of starch synthesis in developing wheat endosperm. Aust J Plant Physiol 20:197.  https://doi.org/10.1071/PP9930197 CrossRefGoogle Scholar
  9. 9.
    Blumenthal C, Bekes F, Gras PW et al (1995) Identification of wheat genotypes tolerant to the effects of heat stress on grain quality. Cereal ChemGoogle Scholar
  10. 10.
    Oukarroum A, El Madidi S, Strasser RJ (2012) Exogenous glycine betaine and proline play a protective role in heat-stressed barley leaves (Hordeum vulgare L.): a chlorophyll a fluorescence study. Plant Biosyst - An Int J Deal with all Asp Plant Biol 146:1037–1043.  https://doi.org/10.1080/11263504.2012.697493 CrossRefGoogle Scholar
  11. 11.
    Sharma P, Sareen S, Saini M, Shefali (2017) Assessing genetic variation for heat stress tolerance in Indian bread wheat genotypes using morpho-physiological traits and molecular markers. Plant Genet Resour 15:539–547.  https://doi.org/10.1017/S1479262116000241 CrossRefGoogle Scholar
  12. 12.
    Salem KFM, Sallam A (2015) Analysis of population structure and genetic diversity of Egyptian and exotic rice (Oryza sativa L.) genotypes. C R Biol 339:1–9.  https://doi.org/10.1016/j.crvi.2015.11.003 CrossRefPubMedGoogle Scholar
  13. 13.
    Semenov MA, Halford NG (2009) Identifying target traits and molecular mechanisms for wheat breeding under a changing climate. J Exp Bot 60:2791–2804.  https://doi.org/10.1093/jxb/erp164 CrossRefPubMedGoogle Scholar
  14. 14.
    Elakhdar A, EL-Sattar MA, Amer K et al (2016) Population structure and marker–trait association of salt tolerance in barley (Hordeum vulgare L.). C R Biol 339:454–461.  https://doi.org/10.1016/j.crvi.2016.06.006 CrossRefPubMedGoogle Scholar
  15. 15.
    Lowry OH, Rosebrough NJ, Farr AL, Randall RJ (1951) Protein measurement with the Folin phenol reagent. J Biol Chem 193:265–275PubMedPubMedCentralGoogle Scholar
  16. 16.
    Moore S, Stein WH (1948) In: Colowick SP, Kaplan ND (eds) Methods in Enzymology. Academic Press, New York, p 468Google Scholar
  17. 17.
    Fales FW (1951) The assimilation and degradation of carbohydrates by yeast cells. J Biol Chem 193:113–124PubMedGoogle Scholar
  18. 18.
    Schlegel H-G (1956) Die Verwertung organischer Säuren durch Chlorella im Licht. Planta 47:510–526.  https://doi.org/10.1007/BF01935418 CrossRefGoogle Scholar
  19. 19.
    Bates LS, Waldren RP, Teare ID (1973) Rapid determination of free proline for water-stress studies. Plant Soil 39:205–207.  https://doi.org/10.1007/BF00018060 CrossRefGoogle Scholar
  20. 20.
    Utz FH (1997) PLABSTAT: A computer program for statistical analysis of plant breeding experiments. 44Google Scholar
  21. 21.
    Dray S, Dufour AB (2007) The ade4 package: implementing the duality diagram for ecologists. J Stat Softw 22:1–20CrossRefGoogle Scholar
  22. 22.
    Sallam A, Mourad AMI, Hussain W, Stephen Baenziger P (2018) Genetic variation in drought tolerance at seedling stage and grain yield in low rainfall environments in wheat (Triticum aestivum L.). Euphytica 214:169.  https://doi.org/10.1007/s10681-018-2245-9 CrossRefGoogle Scholar
  23. 23.
    Sallam A, Martsch R, Moursi YS (2015) Genetic variation in morpho-physiological traits associated with frost tolerance in faba bean (Vicia faba L.). Euphytica 205:395–408.  https://doi.org/10.1007/s10681-015-1395-2 CrossRefGoogle Scholar
  24. 24.
    Stone P, Nicolas M (1994) Wheat cultivars vary widely in their responses of grain yield and quality to short periods of post-anthesis heat stress. Aust J Plant Physiol 21:887.  https://doi.org/10.1071/PP9940887 CrossRefGoogle Scholar
  25. 25.
    Tewolde H, Fernandez CJ, Erickson CA (2006) Wheat cultivars adapted to post-heading high temperature stress. J Agron Crop Sci 192:111–120.  https://doi.org/10.1111/j.1439-037X.2006.00189.x CrossRefGoogle Scholar
  26. 26.
    Talukder ASMHM, McDonald GK, Gill GS (2014) Effect of short-term heat stress prior to flowering and early grain set on the grain yield of wheat. Field Crops Res 160:54–63.  https://doi.org/10.1016/J.FCR.2014.01.013 CrossRefGoogle Scholar
  27. 27.
    Ugarte C, Calderini DF, Slafer GA (2007) Grain weight and grain number responsiveness to pre-anthesis temperature in wheat, barley and triticale. Field Crops Res 100:240–248.  https://doi.org/10.1016/J.FCR.2006.07.010 CrossRefGoogle Scholar
  28. 28.
    Saini HS, Aspinall D (1982) Abnormal sporogenesis in wheat (Triticum aestivum L.) induced by short periods of high temperature. Ann Bot 49:835–846.  https://doi.org/10.1093/oxfordjournals.aob.a086310 CrossRefGoogle Scholar
  29. 29.
    Fahad S, Bajwa AA, Nazir U et al (2017) Crop production under drought and heat stress: plant responses and management options. Front Plant Sci 8:1147.  https://doi.org/10.3389/fpls.2017.01147 CrossRefPubMedPubMedCentralGoogle Scholar
  30. 30.
    Slafer GA, Savin R, Sadras VO (2014) Coarse and fine regulation of wheat yield components in response to genotype and environment. Field Crops Res 157:71–83.  https://doi.org/10.1016/J.FCR.2013.12.004 CrossRefGoogle Scholar
  31. 31.
    Hurkman WJ, Vensel WH, Tanaka CK et al (2009) Effect of high temperature on albumin and globulin accumulation in the endosperm proteome of the developing wheat grain. J Cereal Sci 49:12–23.  https://doi.org/10.1016/J.JCS.2008.06.014 CrossRefGoogle Scholar
  32. 32.
    Gilbert GA, Gadush MV, Wilson C, Madore MA (1998) Amino acid accumulation in sink and source tissues of Coleus blumei Benth. during salinity stress. J Exp Bot 49:107–114.  https://doi.org/10.1093/jxb/49.318.107 CrossRefGoogle Scholar
  33. 33.
    Yang J, Zhang J, Wang Z et al (2004) Activities of key enzymes in sucrose-to-starch conversion in wheat grains subjected to water deficit during grain filling. Plant Physiol 135:1621–1629.  https://doi.org/10.1104/pp.104.041038 CrossRefPubMedPubMedCentralGoogle Scholar
  34. 34.
    Yamakawa H, Hirose T, Kuroda M, Yamaguchi T (2007) Comprehensive expression profiling of rice grain filling-related genes under high temperature using DNA microarray. Plant Physiol 144:258–277.  https://doi.org/10.1104/pp.107.098665 CrossRefPubMedPubMedCentralGoogle Scholar
  35. 35.
    Singletary G, Banisadr R, Keeling P (1994) Heat stress during grain filling in maize: effects on carbohydrate storage and metabolism. Aust J Plant Physiol 21:829.  https://doi.org/10.1071/PP9940829 CrossRefGoogle Scholar
  36. 36.
    Farooq M, Bramley H, Palta JA, Siddique KHM (2011) Heat stress in wheat during reproductive and grain-filling phases. Crit Rev Plant Sci 30:491–507.  https://doi.org/10.1080/07352689.2011.615687 CrossRefGoogle Scholar
  37. 37.
    Prasad PVV, Pisipati SR, Ristic Z et al (2008) Impact of nighttime temperature on physiology and growth of spring wheat. Crop Sci 48:2372.  https://doi.org/10.2135/cropsci2007.12.0717 CrossRefGoogle Scholar
  38. 38.
    Song SQ, Lei YB, Tian XR (2005) Proline metabolism and cross-tolerance to salinity and heat stress in germinating wheat seeds. Russ J Plant Physiol 52:793–800.  https://doi.org/10.1007/s11183-005-0117-3 CrossRefGoogle Scholar
  39. 39.
    Semagn K, Babu R, Hearne S, Olsen M (2013) Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement. Mol Breed 33:1–14.  https://doi.org/10.1007/s11032-013-9917-x CrossRefGoogle Scholar
  40. 40.
    Britikov EA, Schrauwen J, Linskens HF (1970) Proline as a source of nitrogen in plant metabolism. Acta Bot Neerl 19:515–520.  https://doi.org/10.1111/j.1438-8677.1970.tb00678.x CrossRefGoogle Scholar
  41. 41.
    Ashraf M, Foolad MR (2007) Roles of glycine betaine and proline in improving plant abiotic stress resistance. Environ Exp Bot 59:206–216.  https://doi.org/10.1016/J.ENVEXPBOT.2005.12.006 CrossRefGoogle Scholar
  42. 42.
    Sallam A, Dhanapal AP, Liu S (2016) Association mapping of winter hardiness and yield traits in faba bean (Vicia faba L.). Crop Pasture Sci 67:55.  https://doi.org/10.1071/CP15200 CrossRefGoogle Scholar
  43. 43.
    Kibite S, Evans LE (1984) Causes of negative correlations between grain yield and grain protein concentration in common wheat. Euphytica 33:801–810.  https://doi.org/10.1007/BF00021906 CrossRefGoogle Scholar
  44. 44.
    Mohammadi M, Sharifi P, Karimizadeh R, Shefazadeh MK (2012) Relationships between grain yield and yield components in bread wheat under different water availability (dryland and supplemental irrigation conditions). Not Bot Horti Agrobo 40:195–200CrossRefGoogle Scholar
  45. 45.
    Nicolas ME, Gleadow RM, Dalling MJ (1985) Effect of Post-anthesis drought on cell division and starch accumulation in developing wheat grains. Ann Bot 55:433–444.  https://doi.org/10.1093/oxfordjournals.aob.a086922 CrossRefGoogle Scholar
  46. 46.
    Blum A (1998) Improving wheat grain filling under stress by stem reserve mobilisation. Euphytica 100:77–83.  https://doi.org/10.1023/A:1018303922482 CrossRefGoogle Scholar
  47. 47.
    Baena-González E, Rolland F, Thevelein JM, Sheen J (2007) A central integrator of transcription networks in plant stress and energy signalling. Nature 448:938–942.  https://doi.org/10.1038/nature06069 CrossRefPubMedGoogle Scholar
  48. 48.
    Barnabás B, Jäger K, Fehér A (2007) The effect of drought and heat stress on reproductive processes in cereals. Plant Cell Environ.  https://doi.org/10.1111/j.1365-3040.2007.01727.x CrossRefPubMedGoogle Scholar
  49. 49.
    Stone PJ (1996) The effects of post-anthesis heat stress on wheat yield and quality.Google Scholar
  50. 50.
    Maestri E, Klueva N, Perrotta C et al (2002) Molecular genetics of heat tolerance and heat shock proteins in cereals. Plant Mol Biol 48:667–681.  https://doi.org/10.1023/A:1014826730024 CrossRefPubMedGoogle Scholar
  51. 51.
    Silva C, Martínez V, Carvajal M (2008) Osmotic versus toxic effects of NaCl on pepper plants. Biol Plant 52:72–79.  https://doi.org/10.1007/s10535-008-0010-y CrossRefGoogle Scholar
  52. 52.
    Naqvi SSM, Mumtaz S, Ali SA et al (1994) Proline accumulation under salinity stress. Is abscisic acid involed? Acta Physiol Plant 16:117–122Google Scholar
  53. 53.
    Sallam A, Martsch R, Moursi YS (2015) Genetic variation in morpho-physiological traits associated with frost tolerance in faba bean (Vicia faba L.). Euphytica.  https://doi.org/10.1007/s10681-015-1395-2 CrossRefGoogle Scholar
  54. 54.
    Salem KFM, Sallam A (2016) Analysis of population structure and genetic diversity of Egyptian and exotic rice (Oryza sativa L.) genotypes. C R Biol.  https://doi.org/10.1016/j.crvi.2015.11.003 CrossRefPubMedGoogle Scholar
  55. 55.
    Eltaher S, Sallam A, Belamkar V et al (2018) Genetic diversity and population structure of F3:6 Nebraska Winter wheat genotypes using genotyping-by-sequencing. Front Genet.  https://doi.org/10.3389/fgene.2018.00076 CrossRefPubMedPubMedCentralGoogle Scholar
  56. 56.
    Liu W, Shahid MQ, Bai L et al (2015) Evaluation of genetic diversity and development of a core collection of wild rice (Oryza rufipogon Griff.) populations in China. PLoS ONE 10:e0145990.  https://doi.org/10.1371/journal.pone.0145990 CrossRefPubMedPubMedCentralGoogle Scholar
  57. 57.
    Lu Y, Shah T, Hao Z et al (2011) Comparative SNP and haplotype analysis reveals a higher genetic diversity and rapider LD decay in tropical than temperate germplasm in maize. PLoS ONE 6:e24861.  https://doi.org/10.1371/journal.pone.0024861 CrossRefPubMedPubMedCentralGoogle Scholar
  58. 58.
    Bhattacharjee R, Dumet D, Ilona P et al (2012) Establishment of a cassava (Manihot esculenta Crantz) core collection based on agro-morphological descriptors. Plant Genet Resour 10:119–127.  https://doi.org/10.1017/S1479262112000093 CrossRefGoogle Scholar
  59. 59.
    Sallam A, Martsch R (2015) Association mapping for frost tolerance using multi-parent advanced generation inter-cross (MAGIC) population in faba bean (Vicia faba L.). Genetica.  https://doi.org/10.1007/s10709-015-9848-z CrossRefPubMedGoogle Scholar

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© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Department of Genetics, Faculty of AgricultureAssiut UniversityAssiutEgypt
  2. 2.Department of Botany and Microbiology, Faculty of ScienceAssiut UniversityAssiutEgypt
  3. 3.Field Crop Research InstituteAgricultural Research CenterGizaEgypt
  4. 4.Institute of Genetic ResourcesKyushu UniversityFukuokaJapan
  5. 5.Department of Agronomy & HorticultureUniversity of Nebraska-LincolnLincolnUSA

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