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Purpose A field experiment was carried out to evaluate the effect of foliar Si application associated with inoculation of seeds and nitrogen management on the physiological quality and grain yield of common beans. Methods The experiment was laid out in randomized blocks with a 5 × 2 × 2 factorial design (four replicates on common bean cultivar Pérola). The first factor was foliar Si application at the concentrations: 0, 1.0, 2.0, 3.0, and 4.0 g L -1 of silicon. The second factor was the effect of the presence or absence of seed inoculation, while the third factor was the splitting of nitrogen topdressing (120 kg N ha -1 ). Parameters evaluated were relative chlorophyll index (RCI), foliar N and Si contents, gas exchanges, grain yield, and economic viability. Results Split fertilization of 60 + 60 kg N ha -1 at 20 and 40 days after emergence (DAE) showed better results of grain yield, approximately 41 % higher than splitting of 80 + 40 kg N ha -1 at 20 and 40 DAE, regardless of fertilization containing Si. Foliar Si application increased grain yield in the order of 10 % (uninoculated seeds) and 25 % (inoculated seeds), regardless of splitting of nitrogen fertilization, using the highest Si concentration (4.0 g L -1 ). Regardless of seed inoculation, the splitting of 60 + 60 kg N ha -1 , associated with the application of 3.0 g Si L -1 , resulted in the maximum grain yield, approximately 20 % higher than the control. Conclusion Application of 2.0 g Si L -1 promoted differential profits of up to US$ 236.72 regardless of seed inoculation and splitting of N fertilization.

Rain is the climatic factor that has greater influence on the erosion in the tropical regions due to its characteristics, intensity, duration and frequency. Knowing the erosive potential of rainfall and its distribution throughout the year allows the planning of management practices that aim to reduce water erosion and soil losses. In this work, it is proposed to define for the locality under influence of the rainfall station (code: 83368) in the municipality of Aragarças-GO, the R factor of the USLE, the rainfall patterns and the months that have the greatest erosive potential. A rainfall series from the period from 2002 to 2007 and a rainfall series from 1990 to 2014 were used. The data were converted to the digital format and, at the end of this phase, systematized and submitted to Chuveros software for the determination of erosivity indices (EI30 and KE> 25) and advanced, intermediate and delayed precipitation patterns. In the studied period, the average annual rainfall of the study site was 1,571.6 mm, with 91% of the rainfall concentrated from October to March. The mean annual values of EI30 and KE> 25 were 7,384.2 MJ mm ha-1 h-1 year-1e and 127.9 MJ ha-1ano-1, respectively. The advanced hydrological pattern was the highest frequency, followed by the intermediate and delayed patterns.

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