Avaliação da qualidade da semeadura da soja

Abstract

The objective of this study is to develop an algorithm for evaluating the quality of soybean sowing. The study was conducted in Douradina, MS, at a farm with clayey soil classified as Red Oxisol and a 5% slope. An electronic spreadsheet was developed to calculate and classify indicators of quality automatically. An experiment was conducted using a completely randomized design with treatments arranged in a 3x2 factorial scheme. The experiment included three travel speeds and two seed deposition depths, with four replications. The seeder-fertilizer-tractor set was calibrated equally for three speeds (4.15; 5.80 and 6.95 km h-1) and two seed deposition depths (40 and 502 mm). At 21 days after sowing, we counted the emerged seedlings and evaluated the soybean sowing quality indicators, including the initial stand and the longitudinal distribution of plants in acceptable, flawed, and double spacings. We analyzed the data obtained from these indicators using the F-test at a 5% probability level. Regression analysis was used to analyze the data. Models were selected based on the significance of the regression coefficients using the t-test and the coefficient of determination at a 5% probability level. A successful algorithm was developed to evaluate the quality of soybean sowing in agriculture. The best sowing quality was achieved at a speed of 7.1 km h-1and a seed deposition depth of 50 mm.