The soybean (Glycine max L.)-wheat (Triticum aestivum, L.) cropping system is the dominant cropping system on Vertisols of Madhya Pradesh in central India, but the yield of soybean has been decreased significantly over recent years due to biotic and abiotic factors. The yield of wheat following soybean in this region is also governed by the availability of irrigation water. So managing this cropping system in terms of nutrient and water in Vertisols is important for soybean and wheat production. The proposed research work was undertaken to analyze N release from different organic materials like rice (Oryza sativa, L.) and wheat straw, green manure (like Gliricidia) and farmyard manure (FYM), modeling N release using APSIM (Agricultural Production System Simulator). The APSIM model has been calibrated for first time for Indian FYM, and also tested for the soybeanwheat cropping system permitting prediction of N release from organic amendments varying in C/N ratios and biochemical properties.A laboratory incubation experiment was carried out for 98 days at 30º C under aerobic conditions to study the effects of rice and wheat straw applied at 5 and 10 g kg -1 to a Vertisol soil in the presence or absence of additional N (as urea). The study showed an interactive effect between the rate of application of the residues and additional mineral N.Without additional N, the mineral N in soil was completely immobilised within two weeks, irrespective of the rate of application; initial net immobilisation was limited by the availability of N and was independent of residue rate. When additional N was supplied, initial net immobilisation was dependent on the rate of application of the residue.We used the APSIM SoilN module to simulate N mineralisation from high C/N ratio crop residues, and compared the predictions with the observed data from our incubation study and other published data sets. Model performance was generally satisfactory with a modelling efficiency of 0.82. The major discrepancy between the modelled and the observed data was a tendency for the model to underestimate the initial rate of immobilisation. iii the model based on the FYM composition. Water soluble C and N components were used to specify the conceptual pool FPOOL1 and the measured lignin content to specify the C content of FPOOL3. Using these values and an iterative approach to identifying an
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