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Spatial variability of some soil properties varies in oil palm (Elaeis guineensis Jacq.) plantations of west coastal area of India

Mapping spatial variability of soil properties is the key to efficient soil resource management for sustainable crop yield. Therefore, the present study was conducted to assess the spatial variability of soil properties such as acidity (pH), salinity (electrical conductivity (EC)), organic carbon, a...

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Published in:Solid earth (Göttingen) 2016-06, Vol.7 (3), p.979-993
Main Authors: Behera, Sanjib Kumar, Suresh, Kancherla, Rao, Bezawada Narsimha, Mathur, Ravi Kumar, Shukla, Arvind Kumar, Manorama, Kamireddy, Ramachandrudu, Kummari, Harinarayana, Parasa, Prakash, Chandra
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creator Behera, Sanjib Kumar
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Ramachandrudu, Kummari
Harinarayana, Parasa
Prakash, Chandra
description Mapping spatial variability of soil properties is the key to efficient soil resource management for sustainable crop yield. Therefore, the present study was conducted to assess the spatial variability of soil properties such as acidity (pH), salinity (electrical conductivity (EC)), organic carbon, available K, available P, exchangeable Ca super(2+), exchangeable Mg super(2+), available S and hot water soluble B in surface (0-20?cm) and subsurface (20-40?cm) soil layers of oil palm plantations in south Goa district of Goa located in west coastal area of India. A total of 128 soil samples were collected from 64 oil palm plantations of Goa located at an approximate interval of 1-2?km and analyzed. Soil was acidic to neutral in reaction. Other soil properties varied widely in both the soil layers. Correlations between soil pH and exchangeable Ca super(2+), between soil EC and available K, between available P and available S and between exchangeable Ca super(2+) and exchangeable Mg super(2+) in both the soil layers were found to be positive and significant (P < 0.01). Geostatistical analysis revealed a varied spatial distribution pattern for the measured soil properties. Best-fit models for measured soil properties were exponential, Gaussian, stable, K-Bessel and spherical with moderate to strong spatial dependency. The results revealed that site-specific fertilizer management options needed to be adopted in the oil palm plantations of the study area owing to variability in soil properties.
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Geostatistical analysis revealed a varied spatial distribution pattern for the measured soil properties. Best-fit models for measured soil properties were exponential, Gaussian, stable, K-Bessel and spherical with moderate to strong spatial dependency. The results revealed that site-specific fertilizer management options needed to be adopted in the oil palm plantations of the study area owing to variability in soil properties.</abstract><cop>Gottingen</cop><pub>Copernicus GmbH</pub><doi>10.5194/se-7-979-2016</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record>
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subjects Acidic soils
Acidity
Agriculture
Analysis
Calcium
Carbon
Coastal areas
Coastal zone
Crop yield
Distribution patterns
Earth science
Elaeis guineensis
Electrical conductivity
Electrical resistivity
Fertilizers
Global positioning systems
GPS
Humidity
Magnesium
Mapping
Nutrients
Oil
Organic carbon
Palm
pH effects
Plantations
Resource management
Soil (material)
Soil analysis
Soil chemistry
Soil layers
Soil pH
Soil properties
Soils
Spatial distribution
Spatial variations
Sustainability
Sustainable agriculture
Sustainable yield
title Spatial variability of some soil properties varies in oil palm (Elaeis guineensis Jacq.) plantations of west coastal area of India
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