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Effect of soil and nutrient management treatments on soil quality indices under Cotton (Gossypium hirsutum) based production system in

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Title Effect of soil and nutrient management treatments on soil quality indices under Cotton (Gossypium hirsutum) based production system in
Effect of soil and nutrient management treatments on soil quality indices under Cotton (Gossypium hirsutum) based production system in
 
Creator ICAR_CRIDA
 
Subject 1Central Research Institute for Dryland Agriculture, Hyderabad, India 2Panjabrao Deshmukh Krishi Vidyapeeth, Akola
 
Description Rainfed semi-arid tropical Vertisols of the Indian subcontinent encounter many problems
on account of the physical, chemical, and biological soil qualities and consequently
have poor crop yields. To ensure sustainable crop production, there is a need
to improve and periodically assess the quality of these soils by adopting suitable soil
and nutrient-management practices on a long-term basis. Hence, soil quality assessment
studies were conducted at the Central Research Institute for Dryland Agriculture,
Hyderabad, India, by adopting an ongoing long-term experiment from Akola Centre
(Maharashtra) of All-India Coordinated Research Project for Dryland Agriculture
(AICRPDA) for the rainfed Vertisol. This long-term experiment was initiated in 1987
with six soil and nutrient management treatments: T1, control; T2, 50 kg nitrogen (N)
+ 25 kg phosphorus pentoxide (P2O5) ha−1; T3, 25 kg N ha−1 through leuceana; T4,
25 kg N ha−1 through farmyard manure (FYM); T5, 25 kg N + 25 kg P2O5 + 25 kg N
ha−1 through FYM; and T6, 25 kg P2O5 ha−1 + 50 kg N ha−1 through leuceana under
cotton + greengram intercropping (1:1). Out of the 19 soil quality parameters studied,
significant influence of the soil and nutrient-management treatments was observed
on almost all the parameters except exchangeable calcium (Ca), available iron (Fe),
labile carbon (LC), and bulk density (BD). A standard methodology using principal
component analysis (PCA) and linear scoring technique (LST) was adopted to identify
the key indicators and for computation of soil quality indices. The various key
soil quality indicators identified for these Vertisols under cotton + green gram system
were pH, electrical conductivity (EC), organic carbon (OC), available K, exchangeable
magnesium (Mg), dehydrogenase assay (DHA), and microbial biomass carbon (MBC).
The soil quality indices as influenced by different long-term soil and nutrient-management
treatments varied from 1.46 to 2.10. Among the treatments, the conjunctive use
of 25 kg P2O5 ha−1 + 50 kg N ha−1 through leuceana green biomass (T6) maintained
significantly higher soil quality index with a value of 2.10 followed by use of 25 kg N +
Not Available
Not Available
 
Date 2020-02-25T08:18:05Z
2020-02-25T08:18:05Z
2011
 
Type Technical Report
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/32741
 
Language English
 
Relation Not Available;
 
Publisher Sharma, K. L.Venkateswarlu, B,Rao, Ch,Srinivas, K