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Acta Botanica Brasilica

Print version ISSN 0102-3306On-line version ISSN 1677-941X

Abstract

SANTANA, Denise Garcia de; CARVALHO, Fábio Janoni  and  TOOROP, Peter. How to analyze germination of species with empty seeds using contemporary statistical methods?. Acta Bot. Bras. [online]. 2018, vol.32, n.2, pp.271-278.  Epub Feb 15, 2018. ISSN 0102-3306.  http://dx.doi.org/10.1590/0102-33062017abb0322.

Statistical analysis is considered an important tool for scientific studies, including those on seeds. However, seed scientists and statisticians often disagree on the nature of variables addressed in germination experiments. Statisticians consider the number of germinated seeds to be a binomially distributed variable, whereas seed scientists convert it into a percentage and often analyze it as a normally distributed variable. The requirement for normal adjustment restricts the models of analysis of variance that can be used. Lack of fit requires nonparametric tests, but they are known by their inferential problems. Generalized Linear Models (GLM) can provide better fit to germination variables for any species, including Lychnophora ericoides Mart., because they allow wider probability distributions with fewer requirements. Here we suggest the use of relative germination besides absolute germination for species with seed development problems, such for L. ericoides and others from the campos rupestres. This paper introduces the most current statistical advancements and increases the possibilities for their application in seed science research.

Keywords : Brazilian arnica; campos rupestres; data transformation; deviance analysis; Generalized Linear Models; relative germination.

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