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  1. KRISHI Publication and Data Inventory Repository
  2. Natural Resource Management A8
  3. ICAR-Indian Institute of Water Management M6
  4. NRM-IIWM-Publication
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"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/12288
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dc.contributor.authorPadua Sheldon, Chattopadhyay, T., Bandyopadhyay, S., Ramchandran, S., Jena, R.K., Ray, P., Deb Roy, P., Baruah, U., Sah, K.D., Singh, S.K., and Ray, S.Ken_US
dc.date.accessioned2018-11-20T07:02:58Z-
dc.date.available2018-11-20T07:02:58Z-
dc.date.issued2018-03-25-
dc.identifier.citationPadua Sheldon, Chattopadhyay, T., Bandyopadhyay, S., Ramchandran, S., Jena, R.K., Ray, P., Deb Roy, P., Baruah, U., Sah, K.D., Singh, S.K., and Ray, S.K. 2018. A simplified soil nutrient information system study from the North East region of India. Current Science, 114(6): 1241-1249en_US
dc.identifier.issn0011-3891-
dc.identifier.urihttp://krishi.icar.gov.in/jspui/handle/123456789/12288-
dc.descriptionNot Availableen_US
dc.description.abstractSoil fertility has direct implications on the agricultural production scenarios of a region. Surface soil samples at 1 km grid were collected to assess the fertility status of Lakhimpur district (Assam) in North East India. Fertility parameters like soil organic carbon, available nitrogen, phosphorus, potassium, iron, manganese, zinc and copper were determined using standard analytical procedure. Spatial distribution maps of the soil parameters were generated using regularized spline method in ArcGIS 10.0. The average soil organic carbon content was 1.05% and the maximum area was under high availability status (78%). In the case of nitrogen, 57% of the area was under low availability status. In the case of available potassium and phosphorus, the areas under low availability status were 48% and 49% respectively. But for micronutrients, in general, the availability status was high except for zinc, which indicated that 40% of the area was under low availability. A methodology was developed to integrate the individual nutrient layers using a set of decision rules to identify the multinutrient deficient zones. The integrated map showed that 24% of the area had multiple nutrient deficiencies and fell under high priority zone that warrant immediate nutrient management interventions to mitigate the situation.en_US
dc.description.sponsorshipNot Availableen_US
dc.language.isoEnglishen_US
dc.publisherCURRENT SCIENCE ASSOCIATIONen_US
dc.relation.ispartofseriesNot Available;-
dc.subjectDecision rules, multinutrient deficiency, soil fertility, spatial variability, spline interpolation, soil information system.en_US
dc.titleA simplified soil nutrient information system study from the North East region of Indiaen_US
dc.title.alternativeNot Availableen_US
dc.typeResearch Paperen_US
dc.publication.projectcodeNot Availableen_US
dc.publication.journalnameCurrent Scienceen_US
dc.publication.volumeno114(6)en_US
dc.publication.pagenumber1241-1249en_US
dc.publication.divisionUnitNot Availableen_US
dc.publication.sourceUrlhttp://www.currentscience.ac.in/php/toc.php?vol=114&issue=06en_US
dc.publication.authorAffiliationICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, Indiaen_US
dc.publication.authorAffiliationICAR-Central Marine Fisheries Research Institute, Kochi 682 018, Indiaen_US
dc.publication.authorAffiliationICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Kolkataen_US
dc.publication.authorAffiliationICAR-National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpuren_US
dc.ICARdataUseLicencehttp://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdfen_US
dc.publication.naasrating6.73en_US
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