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Assessing Soil Quality Under Long-Term Rice-Based Cropping System

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Title Assessing Soil Quality Under Long-Term Rice-Based Cropping System
Assessing Soil Quality Under Long-Term Rice-Based Cropping System
 
Creator ICAR_CRIDA
 
Subject Rice-wheat-jute system, soil quality indicators, sustainable yield, principal component analysis, FYM
 
Description Not Available
Productivity of the rice-based cropping system is low, and it continues to
decline in India because of worsening soil-related constraints. Keeping in view the
importance of soil quality in rice-based intensive cropping system, the present investigation
was undertaken with the objective of identifying several biological, chemical,
and physical indicators of soil quality using data collected from a long-term experiment
being conducted since 1972 on rice-wheat-jute cropping system in Indo Gangetic
alluvial soils of India. The experiment was laid out in a randomized block design
with five treatments, under long-term fertilizer experiment [i.e., control (no fertilizer
and manure); 100% of the recommended dose of nitrogen (100% N); 100% of the
recommended dose of N and phosphorus (100% NP); 100% of the recommended dose of N, P, and potassium (100% NPK); and 100% of the recommended dose of N, P,
K, and farm yard manure (100% NPK þ FYM]. Soil samples were collected after the
harvest of rice during the 2002 experiment and were analyzed for physical, chemical,
and biological parameters. On the basis of the long-term yield data, sustainable yield
index was calculated. Multivariate statistical techniques were used to determine the
smallest set of chemical, physical, and biological indicators that account for at least
95% of the variability in the total data set. The total soil N, available P, dehydrogenase
activity, and mean weight diameter of the aggregates were the most important indicators
in this case study. A multiple regression was run to evaluate the efficacy of
minimum data set (MDS) taking sustainable yield index as goal (r2 ¼ 0.69). Each
MDS was transformed into score. The soil quality index (SQI) was calculated by
using weighing factors derived from principal component analysis for each scored
MDS variable. The highest SQI was found in 100% NPK þ FYM treatment
followed by 100% NPK, 100% NP, 100% N, and control treatment, respectively. To
compare the soil aggradation or degradation, an undisturbed fallow soil was taken as
reference, and it has been observed that 100% NPK þ FYM and 100% NPK showed
positive change in soil quality that is aggradation of soil quality, but the other three
treatments, 100% N, 100% NP, and control, showed negative change of soil quality
and indicates degradation of the system.
Not Available
 
Date 2020-02-25T05:36:00Z
2020-02-25T05:36:00Z
2005
 
Type Technical Report
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/32467
 
Language English
 
Relation Not Available;
 
Publisher K.L. Sharma