Vol. 11, Special Issue 11 (2022)

Author(s):
Monika Naphade, Rajshri Shinde, Anjali Mendhe and RT Suryavanshi

Abstract:
The available forms of nutrients governs the fertility of soil and controls the productivity of crops but this is influenced by pH, EC, organic carbon and CaCO₃ status of soil. A study was conducted to assess available nutrient status and their relationship with chemical properties of soils of Jalgaon district by GIS technique. Studies were conducted to know the status of available micronutrient in relation to chemical properties in soils of 15 tehsils of Jalgaon district. From each tehsil, five villages were selected and from each village, six farmer fields were randomly selected during the year 2019-20. In a total of 450 geo-referenced surfaces (0-22.5 cm), soil samples were collected from the Jalgaon district by using a systematic sampling methodology based on GPS. The data show that these soils were slightly acidic to moderately alkaline in reaction, safe in EC, very low to very high in organic carbon, and low to very high calcareous in nature. Considering soil nutrient index value these soils were low in Fe and Zn and high in respect to Mn and Cu. The pH of the soil was non-significantly and negatively correlated with DTPA extractable Fe (r = -0.011), Mn (r = -0.010), Zn (r =-0.092) and Cu (r = -0.002). EC of the soil was highly significantly and positively correlated with Mn (r=0.283) and Cu (r = 0.224) and negatively significantly correlated with Zn (r = -0.224). The EC was negatively as well as non-significantly correlated with available Fe (r = -0.043). Organic carbon showed a positive non-significantly correlation with available Cu (0.001). However, non-significantly and negatively correlated with Fe (-0.024) and Zn (r = -0.053), and highly non-significantly and negatively correlated with available Mn (r = -0.001). The value of CaCO₃ showed a positive but non-significant correlation with available Mn (0.002), while negative as well as non-significant relation with available Fe (-0.013), Zn (-0.012) and Cu (-0.026).