Cereal Research Communications

, Volume 35, Issue 4, pp 1609–1619 | Cite as

The Effect of Cultivar on the Variation of Spring Wheat Grain Quality under Drought Conditions

  • W. M. BhuttaEmail author


Wheat is an important source of staple food and has a major role at human nutrition and it is essential to know the relationships between yield and its components in wheat breeding programs. In the examined characteristics, positive and the expression significant correlation were found statistically between the flag leaf area, germination in mannitol, survival after desiccation and number of tillers per plant with grain yield. Negative and significant relationships were determined statistically between the plant height, water loss of excised leaves, root length and root depth with grain yield. Path coefficient revealed that number of tillers per plant (9.166) and root depth (0.2675) had the highest positive direct effects on grain yield. In addition water loss of excised leaves (−9.057) and survival after desiccation (−0.449) have highest negative direct effect on grain yield. The improvement in grain yield will be efficient if the selection is based on the number of tillers per plant, root depth and flag leaf area under drought conditions. Comparatively high genetic variability was found in grain yield, flag leaf area and tillers per plant. Number of tillers per plant had direct and marked effect and majority of the traits affected grain yield through it.


wheat correlation genetic resources yield 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Ashraf, M. 1994. Breeding for salinity tolerance in plants. Critical Rev. Plant Sci. 13:17–42.CrossRefGoogle Scholar
  2. Ashraf, M., McNeilly, T. 1988. Variability in salt tolerance of nine spring wheat cultivars. J. Agron. Crop Sci. 160:14–21.CrossRefGoogle Scholar
  3. Bhutta, W.M., Mian, I., Bhutta, T. 2006. Comparison of water relations and drought related flag leaf traits in hexaploid spring wheat (Triticum aestivum L.). Plant Soil Environ. 52:234–238.CrossRefGoogle Scholar
  4. Dewey, R.D., Lu, K.H. 1959. Correlation and path-coefficient analysis of components of crested wheat grass seed production. Agron J. 51:515–518.CrossRefGoogle Scholar
  5. Fathi, G.H., Rezaeimoghddam, K. 2000. Path analysis of grain yields and yields components for some wheat cultivars in Ahvaz region. Agric. Sci. Technol. 14:39–48.Google Scholar
  6. Gonzalez, A., Martin, I., Averbe, L. 1999. Wheat yield in wheat stress condition, the influence of precocity osmotic adjustment and stomatal conductance. Field Crop Res. 62:23–24.CrossRefGoogle Scholar
  7. Hanchinal, R.R., Maled, B.C. 1999. Path analysis in wheat. Karnataka J. Agric. Sci. 12:183–185.Google Scholar
  8. Huang Zuliu, Yuping, Pan, Huang, Z.L. 2000. Path analysis of quality and agronomic characters in wheat germplasm. J. Yang Zhou Univ. Natural Sci. 3:36–40.Google Scholar
  9. Kamal, A., Qureshi, M.S., Ashraf, M.Y., Hussain, M. 2003. Drought induced changes in some growth and physio-chemical aspects of two soybean (Glycine max (L.) Merr.) genotypes. Pale J. Bot. 35:93–97.Google Scholar
  10. Khattab, S.A., Gomaa, M.M., Afiah, S.A.N. 2001. Nature of gene action in wheat crosses under normal and drought stress conditions. Arab Univ. J. Agric. Sci. 9:297–311.Google Scholar
  11. Kingsbury, R.W., Epstein, E. 1984. Selection for salt resistant spring wheat. Crop Sci. 24:310–315.CrossRefGoogle Scholar
  12. Kuma, B.S.T., Ramesh, B. 2001. Correlation between spike development and internode elongation in wheat (Hordeum vulgare). Indian J. Agric. Sci. 71:717–718.Google Scholar
  13. Kwon, S.H., Torrie, J.H. 1964. Heritability and interrelationship among traits of two soybean populations. Crop Sci. 4:196–198.CrossRefGoogle Scholar
  14. Maas, E.V. 1986. Salt tolerance of plants. Appl. Agric. Res. 1:12–26.Google Scholar
  15. Masauskiene, A., Paplauskiene, V., Leistrumaite, A. 2001. The effect of cultivar on the variation of spring wheat grain quality and yield and correlation among these indicators. Zemdirbyste, Mokslo-Darbai. 73:194–209.Google Scholar
  16. Miralles, D.J., Richards, R.A., Slafer, G.A. 2000. Duration of the stem elongation period influences the number of fertile florets in wheat and wheat. Aust. J. Plant Physiol. 27:931–940.Google Scholar
  17. Mujeeb-Kazi, A., Delgado, A.R. 1998. Bread wheat/D genome synthetic hexaploid derivative resistant to Helminthosporium sativum spot blotch. In: Slinkard, A.E. (ed.) Proc. 9th Intl. Wheat Genet. Symp., vol. 3, section 6. Univ. Ext. Press, Saskatoon, SK, Canada, pp. 297–299.Google Scholar
  18. Munns, R., James, R.A. 2003. Screening methods for drought tolerance a case study with wheat. Plant Soil. 253:201–218.CrossRefGoogle Scholar
  19. Muralia, S., Sastry, E.V.D. 2001. Correlation for germination and seedling establishment characters in wheat under normal and drought environments. Indian J. Genet. Plant Breed. 61:69–70.Google Scholar
  20. Rao, S.A., McNeilly, T. 1999. Genetic basis of variation for salt tolerance in maize (Zea mays L.). Euphytica 108:145–150.CrossRefGoogle Scholar
  21. Reeve, E.C.R. 1955. The variance of the genetic correlation coefficients. Biometrics 11:357–374.CrossRefGoogle Scholar
  22. Royo, C., Abaza, M., Blanco, R., Garcia del Moral, L.F. 2000. Triticale grain growth and morphometry as affected by drought stress, late sowing and simulated drought stress. Aust. J. Plant Physiol. 27:1051–1059.Google Scholar
  23. Singh, B.P. 1999. Correlation study in wheat (Triticum aestivum L.). J. App. Bio. 9:143–145.Google Scholar
  24. Steel, R.G.D., Torrie, J.H. 1980. Principles and Procedures of Statistics: A Biometrical Approach. McGraw Hill Book Co., New York.Google Scholar
  25. Zhong-hu, H., Rajaram, S. 1994. Differential responses of bread wheat characters to high temperature. Euphytica 72:197–203.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest 2007

Authors and Affiliations

  1. 1.Centre of Advanced Studies in Applied Genetics and Saline Agriculture (CAGSA)University of AgricultureFaisalabadPakistan

Personalised recommendations