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To Know the behavior shown in seed germination and emergence of Digitaria insularis (L.) Fedde enables develop strategies to reduce the seed bank in cultivated areas. The aim of this research was to evaluate the germination and emergence of weed biotypes of D. insularis susceptible and resistant to glyphosate in two substrates. The experiment was divided into two stages (germination test in BOD and emergence in sand box). In both phases of the study, it was used a completely randomized experimental design, with two treatments (weed biotypes of D. insularis susceptible and resistant to glyphosate) and ten replications. The work was done in the State University of Western Paraná, Brazil, Post-Graduation in Agronomy, between July 2018 and December 2018. In the two tests the experimental units consisted of 25 seeds of D. insularis, evenly distributed. In the germination test was evaluated the first count and the index of germination speed. In the same way, for the emergency test was evaluated the first count and the index of emergence speed. It was also calculated the germination and the emergence percentage, total number of germinated seeds, total number of emerged plants. Differences were observed in the first count, index of germination speed and germination percentage, seeds of D. insularis susceptible and resistant to glyphosate. During the first count, susceptible biotype showed higher germination, with 78% of compared to resistant. Similar behavior was observed for the index of germination speed and for the germination percentage, in which the susceptible biotype surpassed in 80.4% and 47%, respectively, the resistant biotype. Conclusion: The selection of D. insularis biotypes resistant to glyphosate affects the germination and emergence, the species in relation to the original population of susceptible biotypes. For each 100 seeds of the biotype resistant to glyphosate 53 seeds of them germinate and 32.6 seeds can emerge.

Introduction: Soy is an agricultural crop that has great economic importance. The analysis considering the cultivated area, the production and the yield of grains contributes to research and transfer of technology to the producers. Aims: To adjust the mathematical model using simple linear regression analysis and correlation between the variables of planted area, production and productivity, in the state of Paraná and Brazil, in the last two decades. Study Design: Data collection and research of information on the cultivation of soybeans in the state of Paraná and in Brazil on official websites Place and Duration of Study: State University of Western Paraná, Post-Graduation in Agronomy, between July 2018 and December 2018. Methodology: Data were obtained from the Portal of the Brazilian Institute of Geography and Statistics between 1997 and 2017. Simple linear regression analysis and Pearson correlation analysis were used. Results: By analyzing the results, it is possible to observe significant increases in soybean production in both Paraná and Brazil over this 20-year period. Paraná achieved a 205% increase in planted area, 290% in production and 141% in average yield. Conclusion: The simple linear regression and correlation analysis showed an adjustment between the cultivated area, the production and the average productivity in the soybean crop in the period from 1997 to 2017.

Brazil is one of the world's largest producers of sugarcane. Studies considering the production of a culture in informatic function of time allow to verify the behavior of it in a certain homologated. The aims of this work were to analyze the production of the states of Paraná, São Paulo and Minas Gerais, as well as the national production of sugarcane crops, based on statistical tools of regression analysis, and correlation. Sugar cane production data were collected from the Sugarcane Industry Union (UNICA). The work was done in the State University of Western Paraná, Post-Graduation in Agronomy, between July 2018 and December 2018. The data used were obtained from various institutions and, made available by the Sugarcane Industry Union (UNICA), constituting a historical series of 1980/81 to 2016/17. The regression models that best fit the states of Paraná and São Paulo were the linear model, with correlation equal to 0.9711 and 0.9934 respectively, while for Minas Gerais was the quadratic, with 0.9708 of correlation with the national production. The results obtained showed a greater similarity of the behavior of the production of São Paulo with the national, evidencing its importance in participating in the sugarcane agroindustry sector. Based on the regression and correlation analyses obtained, it was found that the state of Paraná and São Paulo obtained a behavior of sugarcane production like that of the national. In the sugarcane production of the state of Minas Gerais, the growth was observed only from the year 2000. Thus, it is concluded that the productions from the states of São Paulo and Paraná contributed more significantly to the national production of sugarcane in relation to the production of the state of Minas Gerais.