01900naa a2200313 a 450000100080000000500110000800800410001902400520006010000260011224501370013826000090027552009630028465000210124765000230126865000230129165300150131465300150132965300200134465300100136465300270137470000190140170000170142070000220143770000180145970000180147770000180149570000200151377300530153321784202025-09-01       2025    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.agsy.2025.1044782DOI1 aSILVA, E. H. F. M. da  aAssessing methane and nitrous oxide emissions in lowland rice-soybean cropping systems through crop modeling.h[electronic resource]  c2025  aContext: The southern lowlands of Brazil, characterized by hydromorphic soils suited for flooded paddy rice, play a key role in food security. In recent years, rice-soybean crop rotations have been adopted to improve system profitability and sustainability. However, their implications for greenhouse gas (GHG) emissions lack sufficient investigation in subtropical conditions. Objective: To evaluate the performance of the Cropping System Model (CSM)-CERES-Rice and CSM-CROPGROSoybean models in simulating grain yield and methane (CH4) and nitrous oxide (N2O) emissions in a ricesoybean rotation system. Methods: Field experiments were conducted over four seasons (2019–2023) in Capao do Leão, RS, Brazil. Rice was grown under continuous flooding and soybean under rainfed conditions. The DSSAT v.4.8.2 models simulated yield and GHG emissions, evaluated using normalized bias (nBias), index of agreement (D-statistic), and root mean square error (RMSE).  aGreenhouse gases  aHydromorphic soils  aSolo Hidromórfico  aCERES-Rice  aCrop model  aCROPGRO-soybean  aDSSAT  aGases do efeito estufa1 aHOOGENBOOM, G.1 aBOOTE, K. J.1 aSCIVITTARO, W. B.1 aPORTER, C. H.1 aCUADRA, S. V.1 aSTEINMETZ, S.1 aCERRI, C. E. P.  tAgricultural Systemsgv. 230, 104478, Dec. 2025.