Research Article

Non-parametric approach to the study of phenotypic stability

Published: February 19, 2016
Genet. Mol. Res. 15(1): gmr7517 DOI: https://doi.org/10.4238/gmr.15017517
Cite this Article:
D.F. Ferreira, S.B. Fernandes, A.T. Bruzi, M.A.P. Ramalho, D.F. Ferreira, S.B. Fernandes, A.T. Bruzi, M.A.P. Ramalho (2016). Non-parametric approach to the study of phenotypic stability. Genet. Mol. Res. 15(1): gmr7517. https://doi.org/10.4238/gmr.15017517
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Abstract

The aim of this study was to undertake the theoretical derivations of non-parametric methods, which use linear regressions based on rank order, for stability analyses. These methods were extension different parametric methods used for stability analyses and the result was compared with a standard non-parametric method. Intensive computational methods (e.g., bootstrap and permutation) were applied, and data from the plant-breeding program of the Biology Department of UFLA (Minas Gerais, Brazil) were used to illustrate and compare the tests. The non-parametric stability methods were effective for the evaluation of phenotypic stability. In the presence of variance heterogeneity, the non-parametric methods exhibited greater power of discrimination when determining the phenotypic stability of genotypes.

The aim of this study was to undertake the theoretical derivations of non-parametric methods, which use linear regressions based on rank order, for stability analyses. These methods were extension different parametric methods used for stability analyses and the result was compared with a standard non-parametric method. Intensive computational methods (e.g., bootstrap and permutation) were applied, and data from the plant-breeding program of the Biology Department of UFLA (Minas Gerais, Brazil) were used to illustrate and compare the tests. The non-parametric stability methods were effective for the evaluation of phenotypic stability. In the presence of variance heterogeneity, the non-parametric methods exhibited greater power of discrimination when determining the phenotypic stability of genotypes.