Advertisement

Cereal Research Communications

, Volume 45, Issue 4, pp 687–698 | Cite as

Frequency Distribution Analysis of a Maize Population as a Tool in Maize Breeding

  • V. GreveniotisEmail author
  • E. Sioki
  • C. G. Ipsilandis
Breeding

Abstract

The objective of this study was to investigate the distribution of progressive selection generations in order to define the maximum efficiency of increasing yield in relation to the stage of selection procedure. Experimental procedure lasted five years on open-pollinated lines selected in two contrasting environments under low plant population. Mean grain yield of individual maize plants increased by 79% from C0 to C4 generation in environment A and 32% in environment B. Yield of individual plants was increased by 58% from C0 to C2 when selection was fully practiced in environment B. The progressive reduction of CV values through the selection generations revealed gene fixation and lack of segregation in selected lines which tended to be more uniform and homozygous. Low to medium negative kurtosis and low to medium positive skewness, accompanied by a more “squared” shape of distribution curve may indicate more homozygous genetic material that was categorized in clusters of similar C4 lines as was observed in environment A, depicting the end of selection procedure. In C4, a breeder may choose from the upper part of distribution curve (higher yielding plants) in order to avoid possible selection of deleterious genes at the kurtosis-biased lower part of the distribution curve. Our findings suggested the selection of cultivars of narrow adaptation, because at the initial stages of the selection program the effect of environment lead to different genetic materials, favouring certain genotypes. In our study environment B favoured selection procedure for developing high yielding open-pollinated lines for breeding and farming purposes.

Keywords

selection efficiency skewness kurtosis deviation clusters 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgements

This research work was based on the remarks and support of professors A.C. Fasoulas, St. Zotis+ and C.K. Goulas. This research has been partly co-financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program: Heracleitus II. Investing in Knowledge Society through the European Social Fund.

Supplementary material

42976_2017_4504687_MOESM1_ESM.pdf (624 kb)
Frequency Distribution Analysis of a Maize Population as a Tool in Maize Breeding

References

  1. Bernardo, R. 2002. Breeding for Quantitative Traits in Plants. Stemma Press. Woodbury, MN, USA. pp. 1–369.Google Scholar
  2. Constantinidou, K., Fasoulas, A.C. 1988. Evidence for the genetic basis of heterosis during hybrid reconstruction in maize. Proc. 2nd Congress of the Hellenic Soc. for the Genetic Improvement of Plants. Thessaloniki, Greece. pp. 215–225.Google Scholar
  3. Crow, J.F. 2000. The rise and the fall of overdominance. Plant Breed. Rev. 17:225–257.Google Scholar
  4. Duvick, D.N. 2005. Genetic progress in yield of United States maize (Zea mays L.). Maydica 50:193–202.Google Scholar
  5. Falconer, D.S. 1960. Introduction to Quantitative Genetics. 1st ed. Oliver and Boyd. London, UK. pp. 1–365.Google Scholar
  6. Fasoula, V.A. 2006. A novel equation paves the way for an everlasting revolution with cultivars characterized by high and stable crop yield and quality. Proc. 11th Congress of the Hellenic Society for the Genetic Improvement of Plants. Orestiada, Greece. pp. 7–14.Google Scholar
  7. Fasoula, V.A. 2013. Prognostic breeding: A new paradigm for crop improvement. Plant Breed. Rev. 37:297–347.CrossRefGoogle Scholar
  8. Fasoulas, A.C. 1988. The Honeycomb Methodology of Plant Breeding. A. Altidjis Publ. Thessaloniki, Greece. pp. 1–168.Google Scholar
  9. Fasoulas, A.C. 1993. Principles of crop breeding. A.C. Fasoulas, P.O. Box 19555, Thessaloniki, Greece. pp. 1–128.Google Scholar
  10. Fischer, R.A., Edmeades, G.O. 2010. Breeding and cereal yield progress. Crop Sci. 50:S85–S98.CrossRefGoogle Scholar
  11. Gogas, D.M. 1987. Controlled mass honeycomb selection for yield in segregating generations of single maize hybrid. Ph.D. Thesis, Dept. Genetics and Plant Breeding. Aristotle University of Thessaloniki. Greece. pp. 1–141.Google Scholar
  12. Greveniotis, V. 2012. Investigation of the possibilities to replace maize hybrids with open pollinated lines. Ph.D. Thesis, Dept. of Agricultural Development, Democritus University of Thrace. Orestiada, Greece. pp. 1–193.Google Scholar
  13. Greveniotis, V., Fasoula, V.A., Papadopoulos, I.I., Sinapidou, E., Tokatlidis, I.S. 2012. The development of highly-performing open-pollinated maize lines via single-plant selection in the absence of competition. Aust. J. Crop Sci. 6:1448–1454.Google Scholar
  14. Greveniotis, V., Fasoula, V.A. 2016. Application of prognostic breeding in maize. Crop Pasture Sci. 67:605–620.CrossRefGoogle Scholar
  15. Hallauer, A.R., Miranda, F.J.B. 1981. Quantitative Genetics in Maize Breeding. 1st Ed. Iowa State Univ. Press. Ames, IA, USA. pp. 1–468.Google Scholar
  16. Hefny, M. 2010. Genetic control of flowering traits, yield and its components in maize (Zea mays L.) at different sowing days. Asian J. Plant Sci. 2:236–249.Google Scholar
  17. Ipsilandis, C.G., Koutsika-Sotiriou, M. 2000. The combining ability of recombinant S-lines developed from F2 maize population. J. Agric. Sci. Cambridge 134:191–198.CrossRefGoogle Scholar
  18. Ipsilandis C.G., Deligeorgidis, P.N., Giakalis, L., Koutsika, M., Papadopoulou, A., Xanthopoulos, V. 2005. Breeding for homozygotic superiority and stability in maize without loosing combining ability. Asian J. Plant Sci. 4:499–506.CrossRefGoogle Scholar
  19. Ipsilandis, C.G., Tokatlidis, I.S., Vafias, B., Stefanis, D. 2006. Criteria for developing second-cycle hybrid in maize. Asian J. Plant Sci. 5:680–685.CrossRefGoogle Scholar
  20. Kearsey, M.J., Pooni, H.S. 1992. The potential of inbred lines in the presence of heterosis. In: Dattee, Y., Dumas, C., Gallais, A. (eds), Reproductive Biology and Plant Breeding. Springer-Verlag. London, UK. pp. 371–386.CrossRefGoogle Scholar
  21. Kyriakou, D.T., Fasoulas, A.C. 1985. Effects of competition and selection pressure on yield response to winter rye (Secale cereale L.). Euphytica 34:883–895.CrossRefGoogle Scholar
  22. Moll, R.H., Bari, A., Stuber, C.W. 1977. Frequency distribution of maize yield before and after reciprocal recurrent selection. Crop Sci. 17:794–796.CrossRefGoogle Scholar
  23. Romagosa, I., Fox, P.N. 1993. Genotype × environment interaction and adaptation. In: Hayward, M.D., Bosemark, N.O., Romagosa, I. (eds). Plant Breeding Principles and Prospects. Chapman & Hall. New York, USA. pp. 373–390.CrossRefGoogle Scholar
  24. Troyer, A.F., Wellin, J.E. 2009. Heterosis decreasing in hybrids: yield test inbreds. Crop Sci. 49:1969–1976.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest 2017

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Department of Agricultural DevelopmentDemocritus University of ThraceOrestiadaGreece
  2. 2.Hellenic Agricultural Organization - “Demeter’’, National Center For Quality ControlClassification & Standardization of CottonKarditsaGreece
  3. 3.Department of AgricultureRegional Administration of Central MacedoniaThessalonikiGreece

Personalised recommendations