The kinds of data obtained in micropropagation studies are very often problematic, since they do not follow continuous distribution and observations through culture vessels complicate measurement. Accordingly, standard analyses are often used, leading to misinterpretation of results. In this paper, we present a study of Viburnum opulus micropropagation using planned contrasts and fitting regression models in generalized linear models as an alternative statistical analysis of micropropagation results, and compare the results with that of traditional ANOVA. The advantages and possibilities of these alternative data analyses in plant tissue culture are discussed.