TAILIEUCHUNG - Mapping of spatial pattern of micronutrients in soils of Harda district of Madhya Pradesh through geo-statistical tool in arc gis environment

In present study GPS based three hundred three surface (0-15 cm depth) soil samples, were collected across the district. The Zn, and Fe deficient in and percent soil samples and none of soil samples were found to be deficient in Cu, Mn and B. Soil pH showed significant and negative correlations with Zn, Cu, Mn and Fe. The EC had positive and significant relationship with OC and B with r values of ** and **, respectively. The significant positive relationship of OC of soil with available hot watersoluble B showing value of **. The micronutrients . DTPA extractable Zn and Cu, Fe and Mn showed significant positive relationship with each other. HWS B was also found positive and significantly related with Fe (r=*). Geo-statistical suggested that the exponential models best fitted for, Zn and B while spherical models for Cu, Mn, Fe. The nugget/sill ratios of semivariogram models for micronutrients were moderate. The having value were , , , and for Mn, Fe, Zn, B and Cu, respectively. | Mapping of spatial pattern of micronutrients in soils of Harda district of Madhya Pradesh through geo-statistical tool in arc gis environment

• Sinh học
• Geo statistics
• Semi variogram
• Ordinary kriging
• ARC GIS environment
• Geo statistical tool
• Tạp chí Phát triển Khoa học và Công nghệ
• Geostatistics application in spatial analysis of geomechanical properties
• Geostatistics application in spatial analysis
• Variogramand spatial continuity
• Soil chemical properties
• Soil fertility
• Spatial variabililty
• Kriged maps
• Sitespecific nutrient management
• Overview of spatial variability
• Spatial variability
• Soil microbiological properties
• Soil quality and productivity
• Soil ecosystem perturbations
• Good Sample Design
• Earth Sciences
• Frequency Function
• Joint Continuous
• Statistical Methods
• Frequency Analysis