Record Details

Spatial Variability Analysis of Soil Properties of Tinsukia District, Assam, India, Using Geostatistics

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Spatial Variability Analysis of Soil Properties of Tinsukia District, Assam, India, Using Geostatistics
Not Available
 
Creator Not Available
S.K. Reza, D. Dutta, S. Bandyopadhyay, and S,K, Singh
 
Subject Spatial variability, Geostatistics, Soil properties, Accuracy assessment
 
Description Not Available
Accurate analysis of spatial variability of soil properties is a key component of the agriculture ecosystem and
environment modelling. A systematic study was carried out to explore the spatial variability of pH, organic carbon (OC),
available nitrogen (AN), available phosphorus (AP) and available potassium (AK) in soils of Tinsukia district, Assam,
India, for site-specific soil management. For this, a total of 3062 soil samples from a 0–25 cm depth (plough layer) at an
approximate interval of 1 km were collected and analysed for different physical and chemical properties. Data were
analysed both statistically and geostatistically on the basis of semivariogram. The values of soil pH, and OC, AN, AP and
AK varied from 3.4 to 8.2, and 0.2–43.4, 1.1–37.3 and 12.5–392.8 mg/kg, respectively, with mean values of 4.6, and 13.8,
9.6 and 98.4 mg/kg, respectively. The largest variability in the soil properties was observed for K (55%), whereas the least
variability was found for pH (14%). The semivariogram for pH, OC, AN, and AP was best fitted by the exponential model,
whereas AK was best fitted by the Gaussian model. The range of all soil properties varied from 1119 to 3663 m; thus the
length of the spatial autocorrelation is much longer than the sampling interval of 1000 m. Therefore, the current sampling
design was appropriate for this study. The nugget/sill ratio indicated a moderate spatial dependence for pH, OC, N and P
(33–73%) and a weak spatial dependence for K (82%). The generated spatial distribution maps can serve as an effective
tool in site specific nutrient management. This is a prerequisite in farming systems in order to optimize the cost of
cultivation as well as to address nutrient deficiency. The study also helped to identify and delineate critical nutrient
deficiency zones.
Not Available
 
Date 2020-04-14T07:34:49Z
2020-04-14T07:34:49Z
2019-06-01
 
Type Article
 
Identifier Reza, S.K., Dutta, D., Bandyopadhyay, S. and Singh, S.K. 2019. Spatial Variability Analysis of Soil Properties of Tinsukia District, Assam, India, Using Geostatistics. Agricultural Research, 8(2):231238 (DOI: 10.1007/s40003-018-0365-z)
Not Available
https://doi.org/10.1007/s40003-018-0365-z
http://krishi.icar.gov.in/jspui/handle/123456789/34714
 
Language English
 
Relation Not Available;
 
Publisher Springer