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Soil quality index (SQI) as a tool to evaluate crop productivity in semi-arid Deccan plateau, India

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Title Soil quality index (SQI) as a tool to evaluate crop productivity in semi-arid Deccan plateau, India
Not Available
 
Creator Vasu Duraisamy, Singh, Surendra Kumar, Ray, Sanjay Kumar, Duraisami, V. Perumal, Tiwary, Pramod, Chandran, Paikkal, Nimkar, Anant M. and Anantwar, Shyam G.
 
Subject Crop productivity, Deccan plateau, Expert opinion, Pedogenesis, Principal component analysis, Soil quality index
 
Description Not Available
Assessment of soil quality index (SQI) using only the surface soil properties provides an incomplete information
as the crop productivity is influenced by both surface and subsurface properties, with the latter being inherently
linked to pedogenic processes. Two different SQIs were estimated for soil surface (0–15 cm) and control section
(0–100 cm) using soil profile data of six identified soil series in part of semi-arid tropical (SAT) Deccan plateau
and correlated with crop yield. Principal component analysis (PCA) and expert opinion (EO) methods were
used for selecting minimum soil data set (MDS). Additive and weighted index methods were compared for SQI
estimation. SQI obtained showed variation as PCA and EOmethods produced different results. In general, weighted
index SQIs were better correlated with crop yield than the additive index SQIs for both PCA and EO methods.
EO derived weighted index SQI were comparable for both surface and control section except for few cases and
consistent in their correlation with the crop yield, indicating its better performance as compared to PCA. Reason
is that the PCA is a data dimension reduction techniquewhereas EO method is primarily conceived by the experts
on cause-effect relationship of soil properties (such as hydraulic conductivity, CaCO3 and exchangeable sodium
percentage) that are influenced by regressive pedogenic processes in SAT environments. Results showed that
consideration of both surface and control section soil properties helps in establishing a good relationship between
soil functions and management goal. In addition, it also satisfies the need to integrate both surface and
subsurface soil information for soil quality assessment.
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Date 2020-05-26T10:19:17Z
2020-05-26T10:19:17Z
2016-03-31
 
Type Research Paper
 
Identifier Vasu Duraisamy, Singh, Surendra Kumar, Ray, Sanjay Kumar, Duraisami, V. Perumal, Tiwary, Pramod, Chandran, Paikkal, Nimkar, Anant M. and Anantwar, Shyam G. (2016). Soil quality index (SQI) as a tool to evaluate crop productivity in semi-arid Deccan plateau, India. Geoderma, 282:70-79.
0016-7061
http://krishi.icar.gov.in/jspui/handle/123456789/36299
 
Language English
 
Relation Not Available;
 
Publisher Elsevier