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Spatial variability of soil properties and delineation of soil management zones of oil palm plantations grown in a hot and humid tropical region of southern India

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Title Spatial variability of soil properties and delineation of soil management zones of oil palm plantations grown in a hot and humid tropical region of southern India
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Creator Sanjib K. Behera , Ravi K. Mathur, Arvind K. Shukla, K. Suresh,Chandra Prakash
K. Suresh
 
Subject Site-specific nutrient management Precision agriculture Spatial distribution Principal component analysis Variable application rate
 
Description Not Available
Sustainable soil nutrient management with proper understanding of spatial variability of soil properties helps in
enhancement of crop productivity and avoiding soil degradation. It has more importance in oil palm plantations,
since the area under oil palm cultivation is on rise globally. Moreover, the crop is a nutrient-requiring one and
effective nutrient management contributes about 50% of fresh fruit bunch (FFB) production. Therefore, the
present study was carried out to assess spatial distribution of soil properties and to delineate soil management
zones (MZs) in oil palm plantations of a hot and humid tropical region of India for efficient soil nutrient
management. A total of 180 geo-referenced representative soil samples (from 0 to 0.20 m depth) were collected
from oil palm plantations of Pedavegi and Denduluru mandals of west Godavari district of Andhra Pradesh, India.
Collected soil samples were processed and analysed for soil properties like pH, electrical conductivity (EC), soil
organic carbon (SOC), available phosphorus (P), available potassium (K), exchangeable calcium (Ca), exchangeable
magnesium (Mg), available sulphur (S) and available boron (B). The values of soil properties varied
widely with low (7.7%) to moderate (29.0 to 77.4%) coefficient of variations. Semivariogram analysis and
ordinary kriging revealed varied spatial distribution pattern with moderate to strong spatial dependence for
most of the soil properties. Development of the MZs was carried out by principal component (PC) analysis and
fuzzy c-means clustering. Three PCs with eigen values >1 and accounting 60.31% of total variance were used
for further analysis. On the basis of fuzzy performance index and normalized classification entropy, three MZs
were identified. The MZs differed significantly with respect to studied soil properties. Thus, the study emphasized
that the methodology for delineating MZs could be effectively used for site-specific soil nutrient management
in oil palm plantations and other crops for maximizing crop production in the study area.
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Date 2018-11-19T07:48:56Z
2018-11-19T07:48:56Z
2018-02-07
 
Type Research Paper
 
Identifier Catena 165 (2018) 251–259
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http://krishi.icar.gov.in/jspui/handle/123456789/12004
 
Language English
 
Relation Not Available;
 
Publisher Elsevier