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International crop models have been developed using European and American spring oilseed rape varieties. However, the adaptability of these models is limited when applied to winter oilseed rape in China, due to the nonlinear temperature responses associated with vernalization requirements. In this study, a nonlinear temperature-driven development model was proposed to improve the simulation accuracy at the developmental stages using the Temperature-Accumulated day (TAd) algorithm of the Chinese AgroMeteorological Model (CAMM). An exponential temperature efficiency coefficient
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