01806naa a2200277 a 450000100080000000500110000800800410001910000160006024500900007626000090016650001080017552009210028365000160120465000240122065300270124465300180127165300110128965300130130070000180131370000280133170000210135970000190138070000200139970000190141977300900143820727792017-07-18       2017    bl uuuu     u00u1 u    #d1 aCERA, J. C.  aSoybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil.  c2017  aTítulo em Português: Produtividade de soja em cenários climáticos futuros para o Rio Grande do Sul.  aThe objective of this work was to estimate the yield potential and the water‑limited yield of soybean (Glycine max) in the state of Rio Grande do Sul, Brazil, in two future climate scenarios, SRES A1B and RCP4.5, using the SoySim and Cropgro‑Soybean simulation models. In both models, three maturity groups (4.8, 5.5, and 6.0) and six sowing dates (09/01, 10/01, 11/01, 12/01, 01/01, and 02/01) were considered in the SRES A1B‑CMIP3 and RCP4.5‑CMIP5 scenarios. The analyzed variable was grain yield at 13% moisture (Mg ha‑1). Soybean yield potential in Rio Grande do Sul should increase up to the end of the 21st century, according to both scenarios. Water‑limited yield of soybean also increases up to the end of the 21st century, by the SRES A1B‑CMIP3 scenario; however, it will decrease in future periods, by the RCP4.5‑CMIP5 scenario because of limited soil water.  aGlycine Max  aMudança Climática  aModelo Cropgro Soybean  aModelo SoySim  aRCP4 5  aSRES A1B1 aSTRECK, N. A.1 aFENSTERSEIFER, C. A. J.1 aFERRAZ, S. E. T.1 aBEXAIRA, K. P.1 aSILVEIRA, W. B.1 aCARDOSO, A. P.  tPesquisa Agropecuária Brasileira, Brasília, DFgv. 52, n. 6, p. 380-392, jun. 2017.