Generalized lineal models for the analysis of binary data from propagation experiments of Brazilian orchids

• Autor(a) principal: Mora,Freddy
• Data de Publicação: 2008
• Outros Autores: Gonçalves,Letícia de Menezes, Scapim,Carlos Alberto, Martins,Elias Nunes, Machado,Maria de Fátima Pires da Silva
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Archives of Biology and Technology
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132008000500013
• topic: Cattleya bicolor; deviance; in vitro culture; logit model; maximum-likelihood

This study aimed at applying the generalized linear models (GLM) for the analysis of a germination experiment of Cattleya bicolor in which the response variable was binary. The purpose of this experiment was to assess the effects of the storage temperatures and culture mediums on the seed viability. The analyses of variance was also carried out either with or without the data transformation. All the statistical approaches indicated the importance of the storage temperature on the seed viability. But, the culture media and interaction effects were significant only by the GLM. Based on the GLM, the seeds stored at 10°C increased viability, in which the coconut medium achieved the best performance. The results emphasized the importance of adopting the GLM to improve the reliability in many situations where the response variable followed a non-normal distribution.