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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/31927
Title: | Assessing soil spatial variability and delineating site-specific management zones for a coastal saline land in eastern India |
Other Titles: | Not Available |
Authors: | Tripathi Rahul, Nayak Amaresh Kumar, Dhal Biswaranjan, Shahid Mohammad, Lal Banwari, Gautam Priyanka, Mohanty Sangita, Panda Bipin Bihari, Narayan Sahoo Rabi, Shukla Arvind Kumar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Rice Research Institute ICAR::National Research Centre on Camel ICAR::Central Sheep and Wool Research Institute ICAR::Indian Agricultural Research Institute ICAR::Indian Institute of Soil Science |
Published/ Complete Date: | 2019-02-11 |
Project Code: | Not Available |
Keywords: | Site specific management zones; kriging; geostatistics; fuzzy clustering; enhanced vegetation index |
Publisher: | Taylor & Francis |
Citation: | Tripathi Rahul, Nayak Amaresh Kumar, Dhal Biswaranjan, Shahid Mohammad, Lal Banwari, Gautam Priyanka, Mohanty Sangita, Panda Bipin Bihari, Sahoo Rabi Narayan & Shukla Arvind Kumar (2019) Assessing soil spatial variability and delineating site-specific management zones for a coastal saline land in eastern India, Archives of Agronomy and Soil Science, 65:13, 1775-1787, DOI: 10.1080/03650340.2019.1578345 |
Series/Report no.: | Not Available; |
Abstract/Description: | The present study was to delineate management zones (MZs) in salt affected Mahakalpada block in eastern India by capturing both spatial variability of soil parameters along with satellite derived Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). Grid wise 237 soil samples collected from the study area were analyzed and spatial maps were generated for physicochemical properties, DTPA extractable micronutrients, i.e. iron, zinc, copper, and manganese and major nutrients, i.e. available nitrogen (AN), phosphorous (AP), and potassium (AK). Soil electrical conductivity and AK showed a high CV of 100% and 56.7%, respectively. Principal component analysis was performed using the soil spatial maps, NDVI and EVI maps and only four principal components which produced eigenvalues > 1 and accounting for 75.4% of the total variability were retained for further analysis. Further, fuzzy c-mean clustering was used to delineate the MZs based on fuzzy performance index (FPI) and normalized classification entropy (NCE) was used for identifying the three MZs. There was a significant difference between MZ1 and MZ2 for all the variables except AN and EVI whereas all the variables were significantly different between MZ1 and MZ3 highlighting the usefulness of MZs delineation technique for site-specific nutrient management. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | ICAR |
Language: | English |
Name of Journal: | Archives of Agronomy and Soil Science |
NAAS Rating: | 8.14 |
Volume No.: | 65:13 |
Page Number: | 1775-1787 |
Name of the Division/Regional Station: | Crop Production Division |
Source, DOI or any other URL: | https://doi.org/10.1080/03650340.2019.1578345 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/31927 |
Appears in Collections: | CS-NRRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Assessing soil_R Tripathi.pdf | 1.76 MB | Adobe PDF | View/Open |
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