Effect of biological preparation on changes in soil organic carbon and its environmental impact applying precision farming


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Juknevicius D., Sarauskis E., Rimkuviene D., Rukaite J., KARAYEL D.

17th International Scientific Conference Engineering for Rural Development, ERD 2018, Jelgava, Latvia, 23 - 25 May 2018, vol.17, pp.330-334 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 17
  • Doi Number: 10.22616/erdev2018.17.n398
  • City: Jelgava
  • Country: Latvia
  • Page Numbers: pp.330-334
  • Keywords: Biopreparation, CO2, Fertilizer use, Soil organic carbon
  • Akdeniz University Affiliated: Yes

Abstract

Soil organic carbon is one of the key qualitative soil parameters. I`t affects soil vitality, its humus content, microorganism activity, soil CO2 emissions, as well as basic fertilizer needs and plants' ability to source nutrients. According to Christopher and Lal (2007), the carbon (C) cycle is closely related to the nitrogen (N) cycle in plants and soil organic matter. The application of precision farming can aid in determining the exact content of organic carbon in soil and the appropriate carbon - nitrogen ratio for plant growth, digestion and absorption of waste. The aim of this work is to determine the impact of biological preparation on the soil organic carbon content, fertilizer needs, harvest and environment. Experimental research was conducted in Pasvalys district, coordinates 55.920437, 24.212736 (WGS); 3 cases were researched: SC1 - biological preparation “Product 1”, SC2 - biological preparation “Product 2”; SC3 - no biological preparation (control). Veris P4000 VIS-NIR equipment was used for this research in order to estimate the soil organic carbon content, electrical conductivity, soil hardness and to do spectral analysis in the 380-2200 nm wavelength range in 0-100 cm depth. Research indicates that in the SC1 case, the soil organic carbon content grew from 1.8 % to 2 %, compared to SC3, where the soil organic carbon content change was negative and fell from 2.2 % to 2,09 %. The maximum yield was reached in the SC2 case and resulted in 5.38 t·ha-1, compared to 5.26 t·ha-1(SC1) and 4.37 t·ha-1 (SC3).