Vol. 10 (1) : January-February 2019 issue
Green Farming Vol. 10 (1) : 17-21 ; January-February, 2019
Assessment of the spatial variability in soil micronutrients of Coconut Research Station employing geospatial techniques
C. SUDHALAKSHMIa1*, R. KUMARAPERUMALb2 and K. VENKATESANa3
aCoconut Research Station, Aliyar Nagar - 642 101, Coimbatore (Tamil Nadu),
bDepartment of Remote Sensing and GIS, Tamil Nadu Agricultural University, Coimbatore - 641 003 (Tamil Nadu)
Designation : 1Assistant Professor *(soilsudha@yahoo.co.in), 2Assistant Professor, 3Professor & Head
Subject : Soil Science & Agric. Chemistry; Soil Health & Soil Conservation Engg.
Paper No. : P-7501
Total Pages : 5
Received : 08 December 2018
Revised accepted : 01 January 2019
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Citation :
C. SUDHALAKSHMI, R. KUMARAPERUMAL and K. VENKATESAN. 2019. Assessment of the spatial variability in soil micronutrients of Coconut Research Station employing geospatial techniques. Green Farming Vol. 10 (1) : 17-21 ; January-February, 2019
ABSTRACT
Mapping spatial variability in research stations is imperative to understand the existing potentialities and limitations, to assess the land capability for specific land use, for estimating the native nutrient supply power of the soil and for the correlation of experimental data generated in various research trials so as to draw valid conclusions. A study was undertaken in Coconut Research Station, Tamil Nadu Agricultural University, Aliyar Nagar to characterize the spatial variability of DTPA extractable micronutrients viz., iron (Fe), manganese (Mn), zinc (Zn), copper (Cu)) and hot water soluble boron (B). Two hundred and fifty eight geo - referenced soil samples were collected from the surface (0-15 cm) and subsurface (15- 30 cm) layers of A, B and C blocks of the farm. The farm is predominantly sandy textured belonging to the taxonomic class Typic / Fluventic Ustropept. Micronutrients and hot water soluble boron were estimated adopting the standard procedures. GIS aided fertility maps were prepared employing Arc-GIS software and the extent of deficiency and sufficiency were determined. Thus spatial variability mapping employing GIS techniques is an ideal tool for the researchers and policy planners in rapid assessment of nutrient deficiencies in soil.
Key words :
DTPA extractable micronutrients, Fertility mapping, GIS, Nutrient index, Spatial variability.