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Vol. 11, Special Issue 8 (2022)

Prediction and spatial distribution mapping of soil electrical conductivity using geo-statistical method for Mirzapur district, Uttar Pradesh

Author(s):
Hemant Jayant, Nirmal De and Arnab Kundu
Abstract:
Soil electrical conductivity is more like soil pH; a limiting factor in crop growth and production as well as it corresponds to the soil conditions that is excess of salt in the soil or not hence define suitability of soil for crops. The present research was undertaken in Mirzapur district of Uttar Pradesh to assess the spatial variation in electrical conductivity (EC), its prediction and mapping. A sum of 48 representative soil samples were yielded from twelve geo-referenced soil profiles excavated in the study area. Following physic-chemical analysis of soil samples from various depth (i.e. 0-15, 15-30, 30-45 and 45-60 cm) of 12 profiles, more specifically determination of electrical conductivity (dS/m). Further, classical and geo-statistical methods have been employed to characterize soil parameter i.e. EC (dS/m) and its spatial distribution. Ordinary kriging interpolation was used to create spatial variability map and semivariogram model was applied for quantification of electrical conductivity.
Pages: 801-805  |  360 Views  159 Downloads
How to cite this article:
Hemant Jayant, Nirmal De and Arnab Kundu. Prediction and spatial distribution mapping of soil electrical conductivity using geo-statistical method for Mirzapur district, Uttar Pradesh. The Pharma Innovation Journal. 2022; 11(8S): 801-805.

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