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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/46474
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | AK Shukla | en_US |
dc.contributor.author | SK Behera | en_US |
dc.contributor.author | VK Singh | en_US |
dc.contributor.author | C. Prakash | en_US |
dc.contributor.author | AK Sachan | en_US |
dc.contributor.author | SS Dhaliwal | en_US |
dc.contributor.author | PC Srivastava | en_US |
dc.contributor.author | SP Pachauri | en_US |
dc.contributor.author | A Tripathi | en_US |
dc.contributor.author | J Pathak | en_US |
dc.contributor.author | AK Nayak | en_US |
dc.contributor.author | A Kumar | en_US |
dc.contributor.author | R Tripathi | en_US |
dc.contributor.author | BS Dwivedi | en_US |
dc.contributor.author | SP Datta | en_US |
dc.contributor.author | MC Meena | en_US |
dc.contributor.author | S Das | en_US |
dc.contributor.author | V Trivedi | en_US |
dc.date.accessioned | 2021-04-15T06:40:39Z | - |
dc.date.available | 2021-04-15T06:40:39Z | - |
dc.date.issued | 2020-06-02 | - |
dc.identifier.citation | : Shukla AK, Behera SK, Singh VK, Prakash C, Sachan AK, Dhaliwal SS, et al. (2020) Premonsoon spatial distribution of available micronutrients and sulphur in surface soils and their management zones in Indian Indo-Gangetic Plain. PLoS ONE 15(6): e0234053. https://doi.org/ 10.1371/journal.pone.0234053 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/46474 | - |
dc.description | Not Available | en_US |
dc.description.abstract | The efficient (site-specific) management of soil nutrients is possible by understanding the spatial variability in distribution of phyto-available nutrients (here after called available nutrients) and identifying the soil management zones (MZs) of agricultural landscapes. There is need for delineating soil MZs of agricultural landscapes of the world for efficient management of soil nutrients in order to obtain sustainability in crop yield. The present study was, therefore, undertaken to understand the spatial distribution pattern of available micronutrients (zinc (Zn), boron (B), iron (Fe), manganese (Mn) and copper (Cu)), available sulphur (S), and soil properties (soil acidity (pH), electrical conductivity (EC) and organic carbon (SOC) content) in soils of intensively cultivated Indo-Gangetic Plain (IGP) of India and to delineate soil MZs for efficient management of soil nutrients. Totally, 55101 soil samples from 0–15 cm depth were obtained from 167 districts of IGP during 2014 to 2017 and were analysed for different soil parameters. Soil pH, EC and SOC content varied from 4.44 to 9.80, 0.02 to 2.13 dS m-1 and 0.10 to 1.99%, respectively. The concentration of available Zn, B, Fe, Mn, Cu and S varied from 0.01 to 3.27, 0.01 to 3.51, 0.19 to 55.7, 0.05 to 49.0, 0.01 to 5.29 and 1.01 to 108 mg kg-1, respectively. Geostatistical analysis resulted in varied distribution pattern of studied soil parameters with moderate to strong spatial dependence. The extent (% area) of nutrient deficiencies in IGP followed the order: S > Zn > B > Mn > Cu > Fe. Principal component analysis and fuzzy c-means clustering produced six distinctly different soil MZs of IGP for implementation of zone-specific soil nutrient management strategies for attaining sustainability in crop yield. The developed MZ maps could also be utilized for prioritization and rationalization of nutrients supply in IGP of India. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | spatial distribution | en_US |
dc.subject | micronutrients | en_US |
dc.subject | surface soils | en_US |
dc.subject | management zones | en_US |
dc.subject | Indian IndoGangetic Plain | en_US |
dc.title | Pre- monsoon spatial distribution of available micronutrients and Sulphur in surface soils and their management zones in Indian Indo- Gangetic Plain | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Plos One | en_US |
dc.publication.volumeno | 15(6) | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.1371 | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Institute of Soil Science | en_US |
dc.publication.authorAffiliation | Chandra Sekhar Azad University of Agriculture & Technology, Kanpur, Uttar Pradesh, India | en_US |
dc.publication.authorAffiliation | Punjab Agricultural University, Ludhiana, Punjab, India | en_US |
dc.publication.authorAffiliation | Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Udham Singh Nagar, Uttarakhand, India, 6 | en_US |
dc.publication.authorAffiliation | Banda University of Agriculture and Technology, Banda, Uttar Pradesh, India | en_US |
dc.publication.authorAffiliation | ICAR::National Rice Research Institute | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 8.78 | en_US |
dc.publication.naasrating | 8.74 | - |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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pone.0234053.pdf | 3.72 MB | Adobe PDF | View/Open |
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