01462naa a2200409 a 450000100080000000500110000800800410001902400540006010000160011424501130013026000090024352002690025265000200052165000200054165000110056165000160057265000090058865300280059765300200062565300270064565300250067265300280069765300230072565300140074865300180076265300280078070000190080870000180082770000190084570000230086470000170088770000230090470000190092770000130094670000200095977300730097921599992024-06-26       2024    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.compag.2023.1084782DOI1 aMOTA, M. C.  aCROPGRO-soybean model – Validation and application for the southern Amazon, Brazil.h[electronic resource]  c2024  aThe objective in this work was to calibrate and validate the CROPGRO-Soybean model with soybean data collected in harvests of 2017 to 2019, being the data from the first growing period devoted to model calibration, and crop data from 2018/2019 to model validation.  aCrop management  aLeaf area index  aModels  aGlycine Max  aSoja  aCoeficientes genéticos  aCrop simulation  aFerramenta de pesquisa  aGenetic coefficients  aÍndice de área foliar  aManejo de colheita  aModelagem  aResearch tool  aSimulação de colheita1 aCANDIDO, L. A.1 aCUADRA, S. V.1 aMARENCO, R. A.1 aSOUZA, R. V. A. de1 aTOMÉ, A. M.1 aLOPES, A. B. de A.1 aLIMA, F. L. de1 aREIS, J.1 aBRIZOLLA, R. M.  tComputers and Electronics in Agriculturegv. 216, 108478, Jan. 2024.