Record Details

Spatial variability assessment of soil fertility in black soils of central India using geostatistical modeling

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Spatial variability assessment of soil fertility in black soils of central India using geostatistical modeling
Not Available
 
Creator Sharma R.P., Chattaraj S., Vasu D., Karthikeyan K., Tiwary P., Naitam R. K., Dash B., Tiwari G., Jangir A., Daripa A., Singh S. K., Anantwar S. G. and Nimkar A. M.
 
Subject Geostatistics; kriging; geospatial variability; soil fertility
 
Description Not Available
Capturing site specific variability in soil attributes is crucial for precision agriculture. A study was conducted in Kelapur block of Yavatmal district, Maharashtra, covering 83,000 ha area in the basaltic region of central India for investigating the spatial distribution of soil fertility parameters viz. pH, EC, organic matter (OM), available macro (AvN, AvP, AvK and AvS) and cationic micronutrients (Fe, Mn, Zn and Cu). Total 4627 surface samples (0-15 cm depth) were collected using grid sampling method at 325 m interval and analyzed for the soil properties. The geo-database was subjected to kriging through best fit experimental semivariogram based on lowest RMSE (root mean squared error). Spherical model was found best fit for AvP, AvK and AvS whereas exponential model was best fit for remaining soil parameters. The spatial distribution of maps showed deficiency of AvN, AvP, Zn and Fe whereas AvK was high in most of the study area. Spatial dependence was moderate for all soil fertility parameters (N:S ratio 0.25-0.75) whereas AvP exhibited strong spatial dependency (N:S ratio 0.19). Strong spatial dependence of AvP is mainly regulated by pH and smectitic clay minerals. This study can support site specific plant nutrient management at cadastral level for precision farming.
Not Available
 
Date 2020-06-10T13:13:54Z
2020-06-10T13:13:54Z
2020-01-01
 
Type Research Paper
 
Identifier Sharma R.P., Chattaraj S., Vasu D., Karthikeyan K., Tiwary P., Naitam R. K., Dash B., Tiwari G., Jangir A., Daripa A., Singh S. K., Anantwar S. G. and Nimkar A. M. (2020) Spatial variability assessment of soil fertility in black soils of central India using geostatistical modeling. Archives of Agronomy and Soil Science, DOI:10.1080/03650340.2020.1766678
0365-0340
1476-3567
http://krishi.icar.gov.in/jspui/handle/123456789/36933
 
Language English
 
Relation Not Available;
 
Publisher Taylor and Francis