Theoretical and Applied Genetics

, Volume 99, Issue 6, pp 988–995

Genotype x environment interaction of crossover type: detecting its presence and estimating the crossover point

  • M. Singh
  • S. Ceccarelli
  • S. Grando
Original article

DOI: 10.1007/s001220051406

Cite this article as:
Singh, M., Ceccarelli, S. & Grando, S. Theor Appl Genet (1999) 99: 988. doi:10.1007/s001220051406


Genotype-environment interaction (GEI) introduces inconsistency in the relative rating of genotypes across environments and plays a key role in formulating strategies for crop improvement. GEI can be either qualitative (i.e., crossover type) or only quantitative (i.e., non-crossover type). Since the presence of crossover-type interaction has a strong implication for breeding for specific adaptation, it is important to assess the frequency of crossover interactions. This paper presents a test for detecting the presence of crossover-type interaction using the response-environment relationship and enumerates the frequency of crossovers and estimation of the crossover point (CP) on the environment axis, which serves as a cut-off point for the two environments groups where different/specific selections can be made. Sixty-four barley lines with various selection histories were grown in northern Syria and Lebanon giving a total of 21 environments (location-year combinations). Linear regression of the genotypic response on the environmental index represented a satisfactory model, and heterogeneity among regressions was significant. At a 5% level of significance, 38% and 19% of the pairs showed crossover interactions when the error variances were considered heterogeneous and homogeneous, respectively, implying that an appreciable number of crossovers took place in the case of barley lines responding to their environments. The CP of 1.64 t/ha, obtained as the CP of regression lines between the genotype numbers 19 and 31, provided maximum genotype x environment-group interaction. Across all environments, genotype nos. 59 and 12 stood first and second for high yield, respectively. The changes in the ranks of genotypes under the groups of environments can be used for selecting specifically adapted genotypes.

Key words Crossover point Genotype x environment interaction Crossover genotype-environment interaction Linear regression model Barley 

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • M. Singh
    • 1
  • S. Ceccarelli
  • S. Grando
  1. 1.International Center for Agricultural Research in the Dry Areas, P.O. Box 5466, Aleppo, Syria e-mail: Tel.: +963-21-2213477 Fax: +963-21-2213490XX

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