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A Simplified Soil Nutrient Information System:Study from the North East Region of India


Affiliations
1 ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India
2 ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Kolkata 700 091, India
3 ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India
4 ICAR-National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur 440 033, India
 

Soil 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.

Keywords

Decision Rules, Multinutrient Deficiency, Soil Fertility, Spatial Variability, Spline Interpolation, Soil Information System.
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  • A Simplified Soil Nutrient Information System:Study from the North East Region of India

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Authors

Shelton Padua
ICAR-Central Marine Fisheries Research Institute, Kochi 682 018, India
T. Chattopadhyay
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Kolkata 700 091, India
S. Bandyopadhyay
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Kolkata 700 091, India
S. Ramchandran
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India
R. K. Jena
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India
P. Ray
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India
P. Deb Roy
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India
U. Baruah
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India
K. D. Sah
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India
S. K. Singh
ICAR-National Bureau of Soil Survey and Land Use Planning, Amravati Road, Nagpur 440 033, India
S. K. Ray
ICAR-National Bureau of Soil Survey and Land Use Planning, Regional Centre, Jorhat 785 004, India

Abstract


Soil 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.

Keywords


Decision Rules, Multinutrient Deficiency, Soil Fertility, Spatial Variability, Spline Interpolation, Soil Information System.

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DOI: https://doi.org/10.18520/cs%2Fv114%2Fi06%2F1241-1249