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Plant Science Today (PST)

Research Articles

Vol. 12 No. sp4 (2025): Recent Advances in Agriculture by Young Minds - III

Geostatistical analysis of soil fertility and land resource inventory - Guided nutrient management strategies for improving soil health and agricultural productivity in the Bankanahalli micro-watershed

DOI
https://doi.org/10.14719/pst.11700
Submitted
9 September 2025
Published
04-01-2026

Abstract

Soil fertility variability is an important factor that affects nutrient use efficiency and crop productivity in varied landscapes. This variability stands out in semi-arid regions. Here, using general fertilizer recommendations often causes nutrient imbalances, lowers soil health and results in lower crop yields. In this context, present study was conducted in Bankanahalli micro-watershed of Mandya district of Karnataka state to evaluate the spatial variability of soil physico-chemical properties and develop site-specific nutrient management strategies. A total of 45 gridbased soil samples were collected and analysed for pH, electrical conductivity (EC), organic carbon (OC), available nitrogen (N), phosphorus (P₂O₅) and potassium (K₂O). Geostatistical approaches, including semivariogram modelling and kriging interpolation, were employed to generate spatial variability maps. Best-fitted semivariogram models were identified using RMSE, nugget/sill ratio and range values, highlighting strong to moderate spatial dependence across nutrients. The results revealed that soil pH ranged from slightly alkaline to strongly alkaline, while organic carbon (OC) content ranged from low to medium. Available nitrogen (N) and potassium (K₂O) were deficient, whereas phosphorus (P₂O₅) was relatively abundant across the study area. A correlation matrix and principal component analysis (PCA) biplot were developed to examine interrelationships among soil parameters. Spatial maps identified nutrient-deficient and nutrient-rich zones, while correlation and PCA analyses showed strong relationships of pH and EC with K₂O and OC with N availability. Based on these outputs, nutrient management strategies were developed under Low-High (L-M-H) and very low-very high (VL-L-M-H-VH) classification schemes, demonstrating significant potential for fertilizer savings and improved input efficiency. Integrating spatial variability analysis with land resource inventory (LRI)-based nutrient management strategies, along with green manuring and mulching, was effective in maintaining soil health and boosting crop productivity within the micro-watershed.

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