Characterization of Spatial Variability of Micro Nutrients in Soils: Classical <i>Vs</i>. Geo-Statistical Approach

Tagore, G. S.; Sethy, S. K.; Kulhare, P. S.; Sharma, G. D.

doi:10.1080/00103624.2022.2118292

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…The results are in close agreement with the findings of Rajendiran et al, [13] in the Alirajpur district of Madhya Pradesh, Kumar et al, [14] in the Theni district of Tamil Nadu, Amara et al, [15] of the soils of Bogur micro watershed in Karnataka state of India. Similar finding in calcareous soils were reported by Tagore et al, [16].…”

Section: Available Znsupporting

confidence: 91%

Assessment and Mapping of Micronutrient Cation Distribution in Agricultural Research Station Soil: A Geospatial Approach

Bhil,

Sharma,

Meena

et al. 2023

IJPSS

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Aim: The objective was to construct fertility maps of the area, specifically focusing on micronutrient cations. The research aims to provide valuable insights into the spatial distribution of micronutrients, aiding in the development of targeted agricultural practices and informed decision-making. Study Design: Soil sampling, soil analysis and soil mapping. Place and Duration of Study: Agricultural Research Station, Ummedganj-Kota in 2019 and 2020 Methodology: The study involved the collection of 300 soil samples, with precise coordinate’s locked using GPS technology. Soil variability maps for soil micronutrient Zn,Fe, Mn and Cu were generated by using Arc GIS 10.5 on the basis of latitude and longitude of sample site by using hand GPS device and analyzed sample data. Results: The available-Zn of the soils ranged from 0.03 to 4.39 mg kg-1 with a mean value 0.61 mg kg-1, the soil falls under low (64.67%) to medium (30.33%) in available Zn. The available-Fe of the soils ranged from 1.09 to 12.54 mg kg-1 with a mean value 4.29 mg kg-1, the soils fall under low (58.00%) and medium (31.67%) categories for available Fe. The available-Mn of the soils ranged from 2.27-22.31 mg kg-1 with a mean value 5.74 mg kg-1, the soils of the farm falls under medium (28.33%) to high (69.34%) in available Mn. The available-Cu of the soils ranged from 0.32-2.25 mg kg-1 with a mean value 1.09 mg kg-1, the soil comes under high (57.00%) and very high (30.33%) categories for available Cu. Conclusion: Spatial variability map it was found that a high amount of Zn, Mn, Fe present in the soil of field number 14 and 12A compared to other fields. The possible cause behind this may be due to adoption of organic farming practices in field number 14 and execution of integrated farming system modules in field number 12A from some year.

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Section: Available Znsupporting

confidence: 91%

Assessment and Mapping of Micronutrient Cation Distribution in Agricultural Research Station Soil: A Geospatial Approach

Bhil,

Sharma,

Meena

et al. 2023

IJPSS

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“…None of soil samples were found deficient in case of Cu, Mn and B in studied soil associations. These results were in confirmatory with results reported by Tagore et al (2023). The higher amount of Cu might be due to higher biological activities and chelating effect (Jibhakate et al, 2009).…”

Section: Micronutrients and Sulphursupporting

confidence: 91%

Fertility status of different soil associations of central India

MANDLOI

2024

APSR

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In the study area, GPS based 303 top-surface soil (0–15 cm) samples were collected from different soil associations viz., Typic Ustropepts-Vertic Ustropepts (S-1), Vertic Ustropepts-Typic Haplusterts (S-2), Typic Haplusterts-Lithic Ustorthents (S-3), Typic Ustochrepts-Vertic Ustochrepts (S-4), Chromic Haplusterts-Vertic Haplusterts (S-5), Typic Hapluesterts-Fluventic Ustochrepts (S-6), Lithic Ustorthents-Typic Ustorthents (S-7), and Typic Haplusterts-Vertic Ustochrepts (S-8) and analyzed using standard protocols in laboratory. The results showed that the soil pH was neutral to alkaline in reactions, safe in terms of electrical conductivity, low to medium of soil organic carbon content, and non-calcareous to calcareous in nature. The coefficient of variability (CV) CaCO3 had the furthermost variability, followed by EC, SOC, and pH had the minimum variability in research soils, which varied widely with values of 6.70–83.40%. SOC content was low in the order of S2>S4>S1 and medium in the order of S8>S6>S3=S7>S5 soil associations. Similarly, the available N content in the order of S7>S8>S5>S6>S3>S4>S2>S1. In addition, the Olsen-P was in the order of S8>S5>S6>S3 and medium in the order of S4>=S2>S1>=S7.The available K was in the order of S5>S8>S6>S4>S7>S4 and medium in S2 and S1 in soil associations. The available zinc content was low, in various soil associations in the order of S1>S8>S2>S4=S5>S6>S7. Only S3, S5, S8, S6, and S4 soil associations study areas.

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“…The ratio of the standard deviation to the mean is the coefficient of variation, which can reflect the magnitude of spatial variability in soil water content and total salinity [27] and is calculated as the equation…”

Section: Coefficient Of Variationmentioning

confidence: 99%

Analysis of Spatial and Temporal Variability and Coupling Relationship of Soil Water and Salt in Cultivated and Wasteland at Branch Canal Scale in the Hetao Irrigation District

Zhao,

Shi,

Miao

et al. 2023

Agronomy

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The Hetao Irrigation District is a typical salinized irrigation district in China, and soil salinization restricts agricultural development. To explore the spatial and temporal variability of soil water and salt and the coupling relationship in the Hetao Irrigation District, a field experiment was carried out at the scale of the Yichang Irrigation District branch canal in the downstream of the Hetao Irrigation District. Fifty-three soil sampling points were established to analyze the spatial and temporal variability of soil water content and total salt content and the coupling relationship using geostatistics and the coupling degree model. The results showed that soil water content in the study area belonged to medium variability and weak variability, and soil total salt content belonged to strong variability and medium variability. The theoretical models of soil water content and total salt content semi-variance function in the study area following the Gaussian model, with the block-base ratio less than 25%, with strong spatial autocorrelation, and the spatial correlation gradually increased with the increase of soil depth. The total salt content of the soil in the study area was interpolated with higher accuracy using radial basis functions as compared to ordinary kriging interpolation. In terms of temporal changes in salinity, the average salt accumulation rate of the 0–100 cm soil layer in the study area was 20.17% when salinity increased from May to June; the average desalination rate was 16.37% when salinity decreased from June to August. The main factors affecting soil salinity in cultivated land during the growing period were irrigation, precipitation, and planting crops, and the main factors affecting soil salinity in wasteland were precipitation and topography. The average coupling degree of soil water and salt in wasteland in the study area was lower than that of cultivated land, ranging from 65.15% to 86.59% of that of cultivated land. The level of coordination is marginal coordination for cultivated land and marginal disorder for wasteland. The study provides a theoretical basis for the prevention and control of soil salinization in arid areas.

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Characterization of Spatial Variability of Micro Nutrients in Soils: Classical Vs. Geo-Statistical Approach

Cited by 7 publications

References 27 publications

Assessment and Mapping of Micronutrient Cation Distribution in Agricultural Research Station Soil: A Geospatial Approach

Assessment and Mapping of Micronutrient Cation Distribution in Agricultural Research Station Soil: A Geospatial Approach

Fertility status of different soil associations of central India

Analysis of Spatial and Temporal Variability and Coupling Relationship of Soil Water and Salt in Cultivated and Wasteland at Branch Canal Scale in the Hetao Irrigation District

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