A Canadian version of DNDC (DNDC v.CAN) was developed to simulate biogeochemical cycling in agro-ecosystems under cool climatic conditions and management representative of Canada. This model should also be applicable for other temperate regions. It was first denoted as DNDC-CSW as conceived by Kröbel et al. (2011) when investigating spring wheat growth in Canada using experimental data from Swift Current, SK and St-Blaise, QC. A new sub-model was introduced into DNDC which incorporates an empirically derived spring wheat biomass curve, dynamic biomass fractioning, and dynamic plant C:N ratios. These developments helped improve predictions of spring wheat plant biomass, nitrogen content and inter-annual variations in production in Canada. Subsequent model developments have led to the characterization of empirical growth curves for corn and soybean, an improved crop growth response based on cardinal temperatures, the inclusion of heat stress response at anthesis and improvements in crop growth response under elevated CO2 conditions (Smith et al., 2013, Uzoma et al., 2015). Recent model developments include updated evapotranspiration algorithms (FAO-Penman Monteith) under temperate climatic conditions along with an improved ammonia volatilization routine for surface applied manure slurries.