Non-parametric approach to the study of phenotypic stability

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 no...

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Published inGenetics and molecular research Vol. 15; no. 1
Main Authors Ferreira, D F, Fernandes, S B, Bruzi, A T, Ramalho, M A P
Format Journal Article
LanguageEnglish
Published Brazil 19.02.2016
Subjects
Brazil
Genetic Variation
Genotype
Humans
Models, Statistical
Phaseolus - genetics
Phenotype
Plant Breeding
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Summary: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.
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ISSN:1676-5680
1676-5680
DOI:10.4238/gmr.15017517