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http://krishi.icar.gov.in/jspui/handle/123456789/37716
Title: | Assessment of Nutritional Status of the soils of Brahmaputra Plains, Assam. |
Other Titles: | Not Available |
Authors: | Padua, S., Chattopadhyay, T., Bandyopadhyay, S., Ramachandran, S., Jena, R.K., Ray, P., Baruah, U., Sah, K.D., Singh, S.K. and Ray, S.K. |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Bureau of Soil Survey and Land Use Planning |
Published/ Complete Date: | 2015-08-07 |
Project Code: | Not Available |
Keywords: | soil nutrient status, multinutrient deficient zone, integrated nutrient layer, nutrient management decision |
Publisher: | Not Available |
Citation: | Padua, S., Chattopadhyay, T., Bandyopadhyay, S., Ramachandran, S., Jena, R.K., Ray, P., Baruah, U., Sah, K.D., Singh, S.K. and Ray, S.K. (2015) Assessment of Nutritional Status of the soils of Brahmaputra Plains, Assam. Paper presented at the Nineteenth Annual Convention and National Conference on “Application of Clay Science in Agriculture, Environment and Industry”, Clay Minerals Society of India, New Delhi, 7-8 August, 2015, Kolkata, pp 14. |
Series/Report no.: | Not Available; |
Abstract/Description: | A study was conducted to identify multinutrient deficient zones of Lakhimpur district of Assam. The surface soil samples (3610 nos.) were collected from the district by grid sampling method at one km interval. The soil properties studied were organic carbon (OC), available N, P, K, Fe, Mn, Zn and Cu. The point attributes for the soil parameters studied were interpolated using spline interpolation technique in ArcGIS 10.0 to generate the spatial distribution map for each of the soil parameters. The generated spatial distribution maps of eight soil parameters were reclassified into high, medium and low nutrient status areas. In order to identify the multinutrient deficient zones, the layers of soil parameter were integrated. It was found that simply intersecting/overlaying the layers/surfaces would result in numerous and meaningless polygons and hence a new methodology was adopted to integrate the information from all the layers into a single multinutrient layer. The multinutrient map was developed by integrating each of the reclassified soil parameter layers using a set of decision rules in a raster environment. Based on the multinutrient layer, the study area was divided into low, medium and high priority areas. The multinutrient map of the study area showed that 24% of the total study area was under high priority class requiring immediate nutrient management intervention. The majority of the study area fell under medium priority class (74%) and only 2% of the study area came under low priority class. The information generated from the study indicated that appropriate intervention with respect to nutrient management is necessary for the sustainable agricultural development in this region. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Presentation |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Not Available |
Volume No.: | Not Available |
Page Number: | Not Available |
Name of the Division/Regional Station: | Jorhat |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/37716 |
Appears in Collections: | NRM-NBSSLUP-Publication |
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