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Limitations of conventional regression analysis a proposed modification

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Summary

The conventional genotype-environment interaction analysis cannot detect the theoretically ideal genotype which has been defined as the one with relatively low sensitivity in the poor environments and high sensitivity in the favourable environments.

The computation of separate regression coefficients on the two regions of the response curve has been suggested to detect such genotypes. This procedure is simple and more convenient than the complicated curvilinear regression analysis.

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Literature

  1. Bains, K.S.: Parent dependent genotype × environment interaction in crosses of spring wheat. Heredity 36, 163–171 (1976)

  2. Bucio-Alanis, L.; Perkins, J.M.; Jinks, J.L.: Environmental and genotype-environmental components of variability. V. Segregating generations. Heredity 24, 155–157 (1969)

  3. Eberhart, S.A.; Russell, W.A.: Stability parameters for comparing varieties. Crop Sci. 6, 36–40 (1966)

  4. Finlay, K.W.; Wilkinson, G.N.: The analysis of adaptation in a plant breeding programme. Aust. J. Agri. Res. 14, 742–754 (1963)

  5. Perkins, J.M.; Jinks, J.L.: Environmental and genotype-environmental components of variability. III. Multiple lines and crosses. Heredity 23, 339–356 (1968a)

  6. Perkins, J.M.; Jinks, J.L.: Environmental and genotype-environmental components of variability. IV. Non-linear interactions for multiple inbred lines. Heredity 23, 525–535 (1968b)

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Communicated by H.F. Linskens

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Verma, M.M., Chahal, G.S. & Murty, B.R. Limitations of conventional regression analysis a proposed modification. Theoret. Appl. Genetics 53, 89–91 (1978). https://doi.org/10.1007/BF00274335

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Key words

  • Regression analysis
  • Genotype-environment interaction
  • Proposed modification