Investigation on Physico-Chemical Parameters of Soil from Washim district of Maharashtra (India)

Vol-6 | No-01 | January-2021 | Published Online: 17 January 2021    PDF ( 420 KB )
DOI: https://doi.org/10.31305/rrijm.2021.v06.i01.005
Author(s)
Undal V. S. 1

1Ghulam Nabi Azad Arts, Commerce and Science College, Barshitakali Dist. Akola (MS) India

Abstract

Soil is a natural body of mineral and organic material differentiated into horizons, which differ among themselves as well as from underlying materials in their morphology, physical make-up, chemical composition and biological characteristics. It’s a significant resource element which sustains the biotic component of environment. There is large soil type diversity in present study area because of physical and climatic diversity. The current study objectively conducted to analysis the physico-chemical properties of soil sample of Washim district. Eight surface soil samples were collected (0-20 cm depth) within the vicinity of Washim District and analyzed for their physicochemical properties using standard methods. The following soils of 11 different characteristics were examined. It found colour diversity among collected soil samples such as black, brown and red, however sandy, sandy loam, silty clay, loamy were the textures recorded in selected study region. The highest mean value of physico-Chemical parameters were 4.16, 41.25 , 0.48, 8.15, 1.32, 204.7, 29.25, 9.12, 55.2, 7.17 and 38.7 respectively recorded in Moisture, Temperature, Electrical conductivity, pH, Organic carbon, TDS, Phosphorous, Calcium carbonate, Calcium, Magnesium and Alkalinity. The objective of this work is to study and evaluate relation between soil properties and few macro-nutrients by using correlation analysis with focusing to examine the quality of soil in selected region. It concludes that the statistical methods such as correlation analysis can provide a scientific basis to some extent for controlling and monitoring the agriculture soil fertility management in order to exploit the soil productivity.

Keywords
Soil, Organic carbon, Agricultural field, Correlation analysis, Organic pollutants
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