Soil organic carbon (SOC) turnover simulation models have been widely used to predict SOC changes with changing climatic and management conditions. Rothamsted carbon model, RothC 26.3 is one of the most widely used C turnover simulation model, however, this model has not been extensively tested under the Indian conditions. Model prediction accuracy depends upon correct initialization procedure as wrong initialization can simulate the data incorrectly. We initialised the RothC model using the data set from three long-term fertilizer experiments (LTFE) of India. The model was parameterized for the pre cultivated soils of the three major soil orders (Vertisol, Alfisol and Inceptisol) of India for the treatments of nil fertilization (control), balanced fertilization (NPK) and NPK+ Farm Yard Manure (FYM). The RothC was successfully initialized (forward mode) by iteratively adjusting the C input and inert organic matter (IOM) stock of soil at steady state. The agreement between the modelled and measured data of SOC stocks across three different soil types was satisfactory, with root mean square error (RMSE) for LTFE treatments ranged from 2 to 14%. The results of the RothC simulations demonstrated that NPK and NPK+FYM increased SOC stocks at the 0–30 cm soil depth by 12–61 and 30–107%, respectively, over the initial value at the three sites. The SOC stocks reached steady state for the treatments of NPK and NPK+FYM between 48 and 95 and 68 to 116 years, respectively, in three different soil types. Therefore, the RothC model can successfully predict C dynamics under Indian conditions provided initialization and parametrization of the model is accurate.

土壤有机碳（SOC）转换模拟模型已被广泛用于预测随着气候和管理条件的变化而发生的SOC变化。Rothamsted碳模型RothC 26.3是使用最广泛的C营业额模拟模型之一，但是，该模型尚未在印度条件下进行过广泛的测试。模型预测的准确性取决于正确的初始化过程，因为错误的初始化会错误地模拟数据。我们使用来自印度的三个长期肥料实验（LTFE）的数据集初始化了RothC模型。该模型针对印度三个主要土壤阶（Vertisol，Alfisol和Inceptisol）的预耕土壤进行了参数化处理，用于零施肥（对照），平衡施肥（NPK）和NPK +农田肥料（FYM）的处理。通过反复调节稳态条件下土壤的C输入和惰性有机物（IOM）储量，成功地初始化了RothC（正向模式）。三种不同土壤类型的SOC储量的建模数据与实测数据之间的一致性令人满意，LTFE处理的均方根误差（RMSE）为2％至14％。RothC模拟的结果表明，NPK和NPK + FYM在0–30 cm土层深度处的SOC储量分别比三个地点的初始值分别增加了12–61和30–107％。在三种不同土壤类型中，分别在48至95和68至116年间处理NPK和NPK + FYM的SOC储量达到稳定状态。所以，