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Development of Digital Soil Theme Maps using Soil Health Cards by Geostatistical Methods

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Title Development of Digital Soil Theme Maps using Soil Health Cards by Geostatistical Methods
 
Creator D.V.K. Nageswara Rao
G. Srinivasa Rao
Santosha Rathod
K. Surekha
 
Subject Soil health cards
geostatistics
interpolation
rice yield
 
Description Not Available
Soil properties are continuously and spatially variable and this tendency is to be captured for their estimation.
Conventional soil resource maps, being expensive, are prepared once in a while with little scope for
revision. But that problem could be addressed by using the soil health cards (SHCs) issued to individual
farmers by using appropriate geostatistical techniques in generating the updated soil theme maps. As
required in the interpolation, soil health cards are the point sources of data including the geolocation of a
field from where the soil sample was collected. Altogether 12966 SHCs of West Godavari district of
Andhra Pradesh were interpolated for pH, electrical conductivity (EC), organic carbon (OC), available
nitrogen (N), phosphorus (P), potassium (K), sulphur (S), iron (Fe), copper (Cu), zinc (Zn), manganese
(Mn) and boron (B) using geostatistical tool, Ordinary Kriging (OK). Total of 9046 and 3920 SHCs were
used for interpolation and validation, respectively. In another attempt to find utility of interpolated soil
maps, initially, 101 rice fields distributed in different mandals (sub-district units) as identified from satellite
data were randomly selected. These rice fields were represented as points using geographical information
system (GIS) tools. Different soil variables from interpolated maps were extracted to these point vectors
from interpolated soil maps along with mean mandal rice productivity as derived from crop cutting
experiments for statistical analysis. Data were classified to four groups of N (400 kg ha-1) and three groups of OC (0.75 %). General linear model with productivity
as dependant variable, N and OC groups as fixed factors with EC, P, K, Zn and Fe as covariates yielded
good results (R2
= 59%) with significant contributions from N and OC groups, EC, P and Fe. These maps
being in digital format, spatial analysis is possible in GIS environment when compared to other forms of
soil maps with non-spatial data. These digital maps are the important inputs for predicting fertility in
unsampled areas and help in decision making with a better resolution of maps.
Not Available
 
Date 2023-02-16T07:32:41Z
2023-02-16T07:32:41Z
2022-12-19
 
Type Article
 
Identifier D.V.K. Nageswara Rao, G. Srinivasa Rao, Rathod Santosha, (2022) and K. Surekha. Development of Digital Soil Theme Maps using Soil Health Cards by Geostatistical Methods. Journal of the Indian Society of Soil Science. 70(4). 446-455
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/76234
 
Language English
 
Relation Not Available;
 
Publisher Journal of the Indian Society of Soil Science