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Cereal Research Communications

, Volume 34, Issue 2–3, pp 1123–1127 | Cite as

Agronomic performance of bread wheat (Triticum aestivum L.) and hexaploid triticale (X Triticosecale Wittmack) based on the use of a selection index

  • R. H. MaichEmail author
  • A. G. Chaves
  • M. C. Coraglio
  • B. Costero
  • L. E. Torres
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Summary

The objective of this research was to evaluate the actual agronomic performance in bread wheat (Triticum aestivum L.) and hexaploid triticale (X Triticosecale Wittmack) based on the use of a selection index constituted by eleven traits measured at plot level. Two samples of 142 S 0 hexaploid triticale progenies and 89 S 0 bread wheat progenies were sown under rainfed conditions and a selection index was constituted using the following traits: spikes (n o plant −1 and n o plot −1), grain and biological yield (g plot −1), harvest index (%), 1000 grain weight (g), grain (n o plot −1), grain and biomass yield (g spike −1), harvest index spike −1 (%) and straw yield (g spike −1). A disruptive selection intensity of 7.0 % (triticale) and 11.2% (bread wheat) was applied in both directions of the frequency distributions for the selection index. The 20 S 1 triticale families (ten per group) and 20 S 1 bread wheat families (ten per group) were evaluated during 2003. Grain and biological yield (g m −2), spikes (n o m −2), 1000 grain weight (g), harvest index (%) and grain (n o m −2) were measured and the differential and the response to selection were estimated from the S 0 progenies and S 1 derived families, respectively. A higher number of significant differences between the higher and lower index group mean values were observed for the bread wheat germplasm. In both species and for all measured traits, the mean values corresponding to the higher group were greater than those observed in the lower one. These results confirm that using a selection index it is possible to get a harmonic yield improvement in both species.

Index words

Selection index grain yield yield components bread wheat hexaploid triticale 

References

  1. -.
    Di Rienzo, J.; Guzmán. W.; y F. Casanoves. D.G.C., Test de Comparación de Medias. InfoStat Versión 1.1/Profesional. Grupo InfoStat. Facultad de Ciencias Agropecuarias. Universidad Nacional de Córdoba. Argentina.Google Scholar
  2. -.
    Falconer, D.S. 1984. Introducción a la genética cuantitativa. México, D.F.: CECSA.Google Scholar
  3. -.
    Hallauer, A. R. 1985. Compendium of recurrent selection methods and they application. In: CRC Critical Reviews in Plant Sciences. Vol. 3(1): 1–33.CrossRefGoogle Scholar
  4. -.
    Maich, R. H.; Ordoñez, A. del V. & D. Manero de Zumelzú. 2002. Multiple characters selection and genetic progress in triticale and bread wheat. In: Proc. 5 th Int. Triticale Symp. E. Arseniuk (ed). Vol. I: 37–40.Google Scholar
  5. -.
    Sharma, R. C. & E. Duveiller. 2003. Selection index for improving helminthosporium leaf blight resistance, maturity and kernel weight in spring wheat. Crop Sci. 43: 2031–2036.CrossRefGoogle Scholar
  6. -.
    Sidwell, R. J.; Smith, E. L. & R. W. McNew. 1976. Inheritance and interrelationships of grain yield and selected yield-related traits in hard red winter wheat cross. Crop Sci. 16: 650–654.CrossRefGoogle Scholar
  7. -.
    Simmonds, N. W. 1981. Principles of crop improvement. 2 nd Ed. Longman Group, New York.Google Scholar
  8. -.
    Slafer, G. A.; Miralles, D. J.; Savin, R.; Whitechurch, E. M. y. E. G. González. 2003. Ciclo ontogénico, dinámica del desarrollo y generación del rendimiento y la calidad en trigo. En: Producción de granos, bases funcionales para su manejo. A. J. Pascale (ed). Editorial Facultad de Agronomia, Bas. As. p 101–132.Google Scholar

Copyright information

© Akadémiai Kiadó, Budapest 2006

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

  • R. H. Maich
    • 1
    Email author
  • A. G. Chaves
    • 1
  • M. C. Coraglio
    • 1
  • B. Costero
    • 1
  • L. E. Torres
    • 1
  1. 1.College of Agriculture - UNC. CC 509CórdobaArgentina

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