GEOSTATISTICAL ANALYSIS OF SOIL MICRONUTRIENTS BASED ON GIS AND GEOSTATISTICS-A CASE STUDY
Journal Title: International Journal of Agriculture Sciences - Year 2016, Vol 8, Issue 52
Abstract
Understanding of spatial variability in soil fertility status is vital for application of site specific nutrient management. For this a total 25 number of Soil samples collected from Vandurga Village, Yadgir District of Karnataka and analysed for Sulphur(S), Calcium Carbonate (CaCO3), Manganese (Mn), Zinc (Zn), and Iron (Fe). Here geostatistics used to execute conventional statistical analysis and ArcGIS and Geostatistical software GS+ to get the information about distribution and spatial variability of soil micronutrients. The S of collected soil samples varied from 23.98 ppm to 68.62 ppm with a mean of 42.48 ppm. The CaCO3 ranged from 6.61 ppm to 19.85 ppm with an average of 12.02 ppm. Available Mn ranged from 0.52 ppm to 9.48 ppm with mean of 4.09 ppm. The CV for CaCO3 was 34.28, while for Mg, Zn, and Fe it was 68.52, 104.35 and 96.60 respectively. Geostatistical analysis of study by GS+ (version 10.0) show the results based on the ratio of nugget and sill, soil micronutrient properties in study area, the exponential model is used well to show the spatial structure of Sulphur (S) and the ratio of nugget and sill is 97.2%. This shows the variability of S is weakly spatially dependent. Similarly for Ca and Fe fitted Semi variogram Spherical model and Mn and Zn fitted with Gaussian semivariogram model. For CaCO3 and Fe the ratio of nugget and sill is 51.6 % and 57.5% respectively and for Mn and Zn the ratio of nugget and sill is 84.2 % and 99.8% respectively. This study also show the usefulness of GS+ (version 10.0) and ArcGIS 9.2 to know the spatial variability of soil micronutrients in the study area as well as for spatial interpolation, mapping and geostatistical analysis.
Authors and Affiliations
J. B. KAMBALE
Keywords
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