The increasing growth in scientific publications makes researching more extensive in relation to the
selection of papers to support the writing, which is time-consuming and requires criteria to effectively
list the most important references. Microalgae have been studied by researchers in several
technological fields in the development of products, because they have easy physiological adaptability,
high productivity in biomass and low cost of cultivation. Among the applications of microalgae, it is
mentioned in this work the production of biofertilizers which soften the effects caused by chemical
agents to plants and the environment, aiming at the production of organic food, one of the great
current challenges. The objective of this work is to use a systematic review of the literature on the
cultivation of herbicide resistant microalgae using Methodi Ordinatio, which assists the search,
selection, collection and classification of scientific articles. Initially, research was done on the data bases
Scopus, Science direct and Web of Science, using the keywords microalgae and herbicide. The results
were imported to the Mendeley bibliographic reference manager. Subsequently, the In Ordinatio index
was applied, an equation that works with the three most important factors in a scientific article: the
impact factor, the year of publication and the number of citations of the research. This equation turns it
is possible to classify the most important articles in the area of herbicide-tolerant microalgae and note
the importance of this method, which made it possible to find current studies and demonstrate the
relevance of this research theme. In order to show the dynamics of the methodology, a research with
the theme is presented, comprising works from years 2008 to 2018. The results indicate that the
methodology is effective in relation to the objectives proposed, and the most relevant work on the
cultivation of herbicide resistant microalgae are used to construct the scenario in this theme.info:eu-repo/semantics/publishedVersio