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International Journal of Applied Agricultural & Horticultural Sciences
  • 28 April, 2024
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Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
E-ISSN : 2582-4198
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Vol. 5 (4) : July-August 2014 issue
Green Farming Vol. 5 (4) : 627-630 ; July-August, 2014
Soil fertility mapping in Panyam Mandal of Kurnool district by geographic information system
P.V.R.M. REDDY1*, K. VENKAIAH2, T. GIRIDHARA KRISHNA3 and Y. PAVAN KUMAR REDDY4
Deptt. of Soil Science & Agricultural Chemistry, Institute of Frontier Technology, Regional Agricultural Res. Station, Tirupati , S.V. Agricultural College - 517 502 Dist. Chittor (Andhra Pradesh)
Designation :  
1Scientist (venkat_agri@yahoo.com), 2Professor, 3Assoc. Director of Res., 4Scientist
Subject : Soil Science & Agric. Chemistry; Soil Health & Soil Conservation Engg.
Paper No. : P-1396
Total Pages : 4
Received : 24 January 2014
Revised accepted : 25 June 2014
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Citation :

P.V.R.M. REDDY, K. VENKAIAH, T. GIRIDHARA KRISHNA and Y. PAVAN KUMAR REDDY. 2014. Soil fertility mapping in Panyam Mandal of Kurnool district by geographic information system. Green Farming  Vol. 5 (4) : 627-630  ;  July-August, 2014

ABSTRACT
The present study is an attempt to assess the spatial variability by generating thematic maps of available soil fertility status of Panyam Mandal in Kurnool District by GIS technique. Two hundred and ninety geo-referenced soil samples were collected from sixteen villages of Panyam Mandal at random and analysed for soil fertility adopting standard procedures and mapped by Geographic information system. The pH of the soil samples was neutral to highly alkaline in reaction. Available nitrogen and phosphorous was generally low to medium, available potassium recorded in all the three zones i.e. low, medium and high. The available micronutrient status of Mandal, Iron, zinc, manganese and copper were deficit in 54.3 %, 52 %, 45.38% and 25.32 % area respectively in these soils. The spatial variability of the various soil parameters helps the farmers to take up sustained crop management practices.
Key words :
Geographic information system, Nutrient mapping, Soil fertility, Spatial variability.