Using the IPSS Method in the Quantitative Recommendation of Nitrogen Fertilizer to Reduce Environmental Pollution
Subject Areas : Agriculture and environment
Abdolkarim Ejraei
1
,
rakhshan hakimelahi
2
1 - Department of Horticulture, Agriculture collage, Islamic Azad University of Jahrom, Jahrom, Iran
2 - Assistant professor, Department of chimistry, Jahrom Branch, Islamic Azad University, Jahrom, Iran
Keywords: Fertilizer recommendation, Environmental pollution, Correlation of soil nitrogen and plant organs, Regression model.,
Abstract :
Introduction: Chemical fertilizers are one of the most important factors that pollute the environment. Chemical fertilizers can cause air, soil, surface and underground water pollution and cause irreparable damage to the environment. Among the chemical fertilizers, nitrogenous fertilizers have the largest amount of consumption and can be affected by the oxidation and reduction process and affect the environment the most. So far, many methods have been presented to recommend chemical fertilizers, but all these methods are qualitative and cannot calculate the quantity of fertilizer required by the plant. The Integrated Plant and Soil System (IPSS) was first described in 2019. In this method, the amount of elements needed by plants is calculated quantitatively. Materials and Methods: There was a significant correlation between nitrogen of saturated soil extract and nitrogen of plant organs, and the highest correlation was observed between the nitrogen of young leaves and the nitrogen of saturated soil extract. Also, the highest correlation was between the nitrogen of young leaves and other plant organs. Organs of plants whose nitrogen had a significant correlation with soil nitrogen were selected and multivariate regression equations were determined between them and soil saturated extract nitrogen. By simplifying them, two equations with two variables were obtained, according to which the required fertilizer can be calculated. Results and Discussion: There was a significant correlation between nitrogen of saturated soil extract and nitrogen of plant organs, and the highest correlation was observed between the nitrogen of young leaves and the nitrogen of saturated soil extract. Also, the highest correlation was between the nitrogen of young leaves and other plant organs. Organs of plants whose nitrogen had a significant correlation with soil nitrogen were selected and multivariate regression equations were determined between them and soil saturated extract nitrogen. By simplifying them, two equations with two variables were obtained, according to which the required fertilizer can be calculated. Conclusion: The results of this research are two bivariate regression equations, based on which the amount of fertilizer required by plants can be calculated quantitatively and accurately, and the environment can be protected from the risk of chemical fertilizer contamination. This method can be used for all elements and plants in hydroponic and soil cultivation systems.
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