Data/hora: 02/06/2024 06:36:27

Provedor de dados: 	39	
País: 	Brazil	
Título: 	How to analyze germination of species with empty seeds using contemporary statistical methods?	
Autores: 	Santana,Denise Garcia de; Carvalho,Fábio Janoni; Toorop,Peter.	
Data: 	2018-06-01	
Ano: 	2018	
Palavras-chave: 	Brazilian arnica; Campos rupestres; Data transformation; Deviance analysis; Generalized Linear Models; Relative germination.	
Resumo: 	ABSTRACT 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.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062018000200271	
Editor: 	Sociedade Botânica do Brasil	
Relação: 	10.1590/0102-33062017abb0322	
Formato: 	text/html	
Fonte: 	Acta Botanica Brasilica  v.32 n.2 2018	
Fonte: 	info:eu-repo/semantics/openAccess