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Research Article Open access CC BY 4.0

Spatial Variability of Soil Micronutrient Properties Using Geostatistical Approach and Geographic Information System Technique

Akanksha Sikarwar, Vimal Shukla, Seema Bhardwaj, Rahul Prajapati, Rahul Mishra, Yogesh Sikaniya, Anil Nagwanshi

International Journal of Plant & Soil Science · pp. 908–922 · Published 12 Dec 2023

10.9734/ijpss/2023/v35i224202

Abstract

The distribution of soil qualities in every given area is essential for the development of management strategies that are appropriate to that site, since this promotes agricultural productivity sustainability and preserves the health of the soil.In spite of this, the current study was carried out in the Madhya Pradesh state of India to measure the spatial distribution of specific soil qualities in the soybean-wheat and soybean-chickpea belt. A total 303 geo-referenced composite surface (0-15cm) soil samples were collected across the study area. These samples were analyzed for different soil properties viz: pH, soil organic carbon (SOC), Calcium carbonate (CaCO3) the DTPA extractable Zn, Cu, Mn and Fe. The main goals of the study were to: (i) use geo-statistical methods to assess the spatial variability of soil available micronutrients, such as extractable zinc (Zn), copper (Cu), manganese (Mn), iron (Fe), and boron (B), at a regional scale; (ii) use ordinary kriging to develop maps of soil micronutrient distribution; and (iii) evaluate the relationships between micronutrient availability and several soil properties. It was revealed that 79.54% and 7.92% of the soil samples had shortages in accessible zinc and iron, respectively, but no soil sample had deficiencies in copper, magnesium, or zinc and sulphur. The concentrations of extractable Zn, Cu, Mn, and Fe, with the exception of B, exhibited substantial negative relationships with the pH of the soil. The EC had positive and significant relationship with SOC and B, respectively. The significant positive relationship of SOC of soil with available hot water-soluble B respectively. The soil micronutrients were showed significant positive relationship with each other. HWS B was also shown to be positive and statistically significant. In this study, spherical models were best suited for Cu, Mn, and Fe, whereas exponential models were best fitted for Zn and B. The semivariogram models for Zn, Fe, Cu, Mn, and B's nugget/sill ratios There was a documented moderate regional dependence for extractable Zn, Cu, Mn, Fe, and B for Mn.

Geo-statistics semi-variogram precision farming micronutrients kriging

References (23)

  1. 1 Geostatistics for Natural Resources Evaluation [DOI]
  2. 2 Field‐Scale Variability of Soil Properties in Central Iowa Soils [DOI]
  3. 3 GSLIB: Geostatistical Software Library and User's Guide [DOI]
  4. 4 Geostatistics in soil science: state-of-the-art and perspectives [DOI]
  5. 5 A generic framework for spatial prediction of soil variables based on regression-kriging [DOI]
  6. 6 Micronutrients in Crop Production [DOI]
  7. 7 Boron Determination in Soils and Plants [DOI]
  8. 8 Comparison of Methods for Interpolating Soil Properties Using Limited Data [DOI]
  9. 9 Appropriateness of Management Zones for Characterizing Spatial Variability of Soil Properties and Irrigated Corn Yields across Years [DOI]
  10. 10 Spatial and temporal statistics: sampling field soils and their vegetation [DOI]
  11. 11 Appropriateness of Management Zones for Characterizing Spatial Variability of Soil Properties and Irrigated Corn Yields across Years [DOI]
  12. 12 Average variograms to guide soil sampling [DOI]
  13. 13 Soil Properties Spatial Variability and Delineation of Site-Specific Management Zones Based on Soil Fertility Using Fuzzy Clustering in a Hilly Field in Jianyang, Sichuan, China [DOI]
  14. 14 Characterizing spatial variability of soil properties in alluvial soils of India using geostatistics and geographical information system [DOI]
  15. 15 Spatial variability of soil properties in relation to land use and topography in a typical small watershed of the black soil region, northeastern China [DOI]
  16. 16 Spatial variability of soil nutrients and site-specific nutrient management in the P.R. China [DOI]
  17. 17 Spatial distribution of soil physical properties of alluvial soils: a geostatistical approach [DOI]
  18. 18 Spatial Variation of Soil Properties Relating to Vegetation Changes [DOI]
  19. 19 Total and Extractable Manganese and Iron in Some Cultivated Acid Soils of India: Status, Distribution and Relationship with Some Soil Properties [DOI]
  20. 20 Spatial Variability and Geostatistical Analysis of Soil Properties in the Diversified Cropping Regions of Bangladesh Using Geographic Information System Techniques [DOI]
  21. 21 Spatial variability of the chemical, physical and biological properties in lowland cultivated with irrigated rice [DOI]
  22. 22 Geostatistical modeling of the spatial variability and risk areas of southern root-knot nematodes in relation to soil properties [DOI]
  23. 23 Spatial variability and mapping of selected soil properties in Kaligaudanahalli Microwatershed, Gundlupet Taluk, Chamarajanagar District, under hot semi arid agrosubregion of Central Karnataka Plateau, India [DOI]

Cited by 2

Predictive Mapping of Soil Micronutrients Using Geographic Information System for Site Specific Management Interventions in a Semiarid Farm, India

Tapan Gorai, Nayan Ahmed, Rabi Narayan Sahoo · International Journal of Plant & Soil Science · 2024

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