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Characterizing spatial variability of soil properties in alluvial soils of India using geostatistics and geographical information system

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Title Characterizing spatial variability of soil properties in alluvial soils of India using geostatistics and geographical information system
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Creator S.K. Reza, D.C. Nayak, S. Mukhopadhyay, T. Chattopadhyay and S.K. Singh
 
Subject Soil nutrients, kriging, semivariogram, accuracy assessment
 
Description Not Available
Alluvial soils constitute significant portion of cultivated land in India and it contributes towards food grain production predominantly. The objectives of this study were to assess the spatial variability of soil pH, organic carbon (OC), available (mineralizable) nitrogen (N), available phosphorus (P), available potassium (K) and available zinc (Zn) of alluvial floodplain soils of Kadwa block, Katihar district, Bihar, India. A total of 85 soil samples, representative of the plough layer (0–25 cm depth from surface) were randomly collected from the study area. The values of soil pH, OC, N, P, K and Zn varied from 4.4 to 8.4, 0.20% to 1.20%, 141 to 474, 2.2 to 68.2, 107 to 903 kg ha–1 and 0.22 to 1.10 mg kg–1, respectively. The coefficient of variation value was highest for available P (94.3%) and
lowest for soil pH (11.3%). Spherical model was found to be the best fit for N, P and Zn contents, while exponential model was the best fit for OC, and Gaussian model was the best-fit model for pH and K. The nugget/sill ratio indicates that except pH and available K all other soil properties were moderately spatially dependent (25–57%). Soil properties
exhibited different distribution pattern. It was observed that the use of geostatistical method could accurately generate the spatial variability maps of soil nutrients in alluvial soils.
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Date 2020-05-13T14:49:51Z
2020-05-13T14:49:51Z
2017-01-01
 
Type Article
 
Identifier Not Available
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http://krishi.icar.gov.in/jspui/handle/123456789/35606
 
Language English
 
Relation Not Available;
 
Publisher Taylor & Francis