Soil Quality Assessment under Long-term Soil and Nutrient Management Practices in Vertisols of Kovilpatti
2009
Sharma K.L. | Subbaiah, K. | Jawahar, D. | Solaiappan, U. | Subramanian, V. | Mishra, P. K. | Venkateswarlu, B. | Grace, J. Kusuma | Korwar, G.R | Sankar, G. Maruthi | Chary, G. Ravindra | Gajbhiye, Pravin N | Madhavi, M. | Mandai, U.K. | Srinivas, K. | Ch. Srinivasarao | Ramachandran, Kausalya | K. Usha Rani
In order to assess the impact of integrated nutrient management (INM) treatments on soil quality, two ongoing long-tenn experiments at Kovilpatti centre of All India Coordinated Research Project for Dryland Agriculture were adopted. Under each experiment, 19 soil quality indicators were assessed. In experiment 1, the key soil quality indicators identified and their per cent contributions towards soil quality were: electrical conductivity (19%), available N (23%), P (18%), S (8%), microbial biomass carbon (MBC) (10%) and labile carbon (22%). The relative order of performance of INM treatments in terms of soil quality and their soil quality index (SQI) values were: T5: 40 kg N ha-1 + 20 kg P ha-1 + 25 kg ZnS04 ha-1 (2.80) = T4: 50% N (urea) + 50% N as farm residue (2.69) = T3: Farm Yard Manure (FYM) to meet 20 kg N ha-1 + 10 kg P ha-I (2.65) = T2: 40 kg N + 20 kg P ha-1 (2.49) = T6: Farmers method (FYM 5 t ha-') (2.44) = Tl: Control (2.26). In experiment 2, the key soil quality indicators identified and their per cent contributions towards soil quality were: P (20%), S (16%), Fe (22%), Mn (10%), MBC (8%) and bulk density (24%). The order of superiority of the INM treatments in terms of soil quality along with their SQI values was: T5: 40 kg N ha-1 as FYM + 20 kg P ha-1 as SSP (1.93) T3: 40 kg N as urea + 20 kg P ha-1 as SSP (1.85) = T6: 20 kg N as urea + 20 kg N ha-' as FYM + 10 kg P ha-1 as SSP (1.75) = T7: 20 kg N as urea + 20 kg N ha-1 as FYM + 20 kg P ha-1 as SSP (1.72) = T2: 40 kg N as urea (1.65) = T4: 40 kg N ha-' as FYM (1.63) Tl: Control (1.38).
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Эту запись предоставил Indian Council of Agricultural Research