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 |
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Creator |
ICAR_CRIDA
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Subject |
1Central Research Institute for Dryland Agriculture, Hyderabad, India 2Panjabrao Deshmukh Krishi Vidyapeeth, Akola
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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 |
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Date |
2020-02-25T08:18:05Z
2020-02-25T08:18:05Z 2011 |
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Type |
Technical Report
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Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/32741 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Sharma, K. L.Venkateswarlu, B,Rao, Ch,Srinivas, K
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