engleski

Nitrogen rate prediction using empirical Bayesian kriging method for Osijek-Baranja County

Nitrogen is one of the most important elements of plant nutrition. Plants absorbit in mineral form and its deficiency is common in agricultural production. Once the fertilizer is applied in the soil, all forms of nitrogen can undergo a variety of chemical changes (denitrification, volatilization- on) and also leaching which has significant effect on nitrogen plant availability. Because of that, it is important to monitor nitrate rates and to isolate vulnerable areas of arable land which is the main aim of this study. Nitrogen needs for crops were calculated by using ALRxp computer model for fertilization recommendation. Visualization and prediction of calculated data was done by applying geostatistical empirical Bayesian kriging method. The mean value of nitrogen rate was 134.15 kg N ha-1. Geostatistical analysis reveals that the range between 120-160 kg N ha- 1 cover the most of Osijek-Baranja County and that, by visualization of nitrogen prediction rates, vulnerable areas of land can be detected. In these areas it is necessary to carry out a detailed soil analysis after which is only possible to make decisions about required actions.

kriging; nitrogen; fertilization; geostatistics

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