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http://krishi.icar.gov.in/jspui/handle/123456789/36933| Title: | Spatial variability assessment of soil fertility in black soils of central India using geostatistical modeling |
| Other Titles: | Not Available |
| Authors: | 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. |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::National Bureau of Soil Survey and Land Use Planning |
| Published/ Complete Date: | 2020-01-01 |
| Project Code: | Not Available |
| Keywords: | Geostatistics; kriging; geospatial variability; soil fertility |
| Publisher: | Taylor and Francis |
| Citation: | 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 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | 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. |
| Description: | Not Available |
| ISSN: | 0365-0340 1476-3567 |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Archives of Agronomy and Soil Science |
| NAAS Rating: | 8.14 |
| Volume No.: | Not Available |
| Page Number: | Not Available |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | 10.1080/03650340.2020.1766678 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/36933 |
| Appears in Collections: | NRM-NBSSLUP-Publication |
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