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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(7): 738-744
DOI: https://doi.org/10.20546/ijcmas.2017.607.092


DEXCEL Map – A New Approach to Prepare Soil Fertility Map
G.R. Rajakumar1 and S.V. Patil2*
1Department of Soil Science, Department of NRM, College of Forestry, Sirsi, Uttar Kannada district, University of Agricultural Sciences, Dharwad, Karnataka, India
2Department of Agronomy, Regional Horticultural Research and Extension Center, UHS campus, GKVK, Bengaluru 65, Karnataka, India
*Corresponding author
Abstract:

Usually soil fertility maps are prepared by software such as Erdas/ArcGIS. These softwares are available with high price. Non-technical persons cannot use these for the preparation of the maps of their villages and interested areas. It is possible to prepare soil fertility maps by use of MS office (word / Excel / power point). The methodology has been explained to create the maps using village land map with survey numbers in excel sheet. It is possible to create-excel-freeform-shapes-from-polygons on any map. A base map has been prepared in excel sheet for DEXCEL map by placing a polygon on each plot (with survey number). An exercise of defining row height and column width in the excel sheet is required for the map preparation. The village Itagi is a part of Ranebennur taluk, Karntaka, India which has major soil types Black Clay soil and Red Sandy loam soil. Problem cause analysis indicated the low soil fertility status and unscientific use of fertilizers as the reasons for low crop yields. This has necessitated the preparation of soil fertility map of the village as a whole. The ground Co-ordinates of village map are gained from Google map for the village. In 86 random locations (on selected survey numbers) soils are sampled, labeled and processed. Samples are analyzed for Soil pH, Electrical Conductivity (EC), Organic Carbon, macro nutrients and micro nutrients. The status of soil for each property is classified into three classes. Looking to each survey number on the excel sheet, the polygons are filled with colours for respective classes (low, medium and high). The results revealed that 69 percent of samples belong to alkaline pH and oil salinity is medium in the area. Available nitrogen and phosphorous are low (59 % and 48 %) and Available potash is medium (70 %). Organic C belongs to medium to low category. B belongs to low category, while majority of the soils have low status of other micronutrients except Cu. The DEXCEL maps prepared for pH, Av.NPK and Organic C indicate the status of soil properties in the village land on respective survey numbers. Which side of the village, the particular soil parameter belongs to low category can be observed and suitable measure can be adopted for the management.


Keywords: Soil Fertility Map, Excel-free form-shapes-polygon, DEXCEL map, Soil properties.
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How to cite this article:

Rajakumar, G.R. and Patil, S.V. 2017. DEXCEL Map – A New Approach to Prepare Soil Fertility Map.Int.J.Curr.Microbiol.App.Sci. 6(7): 738-744. doi: https://doi.org/10.20546/ijcmas.2017.607.092