Soybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil

Authors

  • Jossana Ceolin Cera Universidade Federal de Santa Maria, Avenida Roraima, n.o 1.000, CEP 97105-900 Santa Maria, RS.
  • Nereu Augusto Streck Universidade Federal de Santa Maria, Avenida Roraima, n.o 1.000, CEP 97105-900 Santa Maria, RS.
  • Cesar Augusto Jarutais Fensterseifer Universidade Federal de Santa Maria, Avenida Roraima, n.o 1.000, CEP 97105-900 Santa Maria, RS.
  • Simone Erotildes Teleginski Ferraz Universidade Federal de Santa Maria, Avenida Roraima, n.o 1.000, CEP 97105-900 Santa Maria, RS.
  • Kelin Pribs Bexaira Universidade Federal de Santa Maria, Avenida Roraima, n.o 1.000, CEP 97105-900 Santa Maria, RS.
  • Waleska Bolzon Silveira Universidade Federal de Santa Maria, Avenida Roraima, n.o 1.000, CEP 97105-900 Santa Maria, RS.
  • Ânthony Paz Cardoso Universidade Federal de Santa Maria, Avenida Roraima, n.o 1.000, CEP 97105-900 Santa Maria, RS.

DOI:

https://doi.org/10.1590/S1678-3921.pab2017.v52.23673

Keywords:

Glycine max, climate change, Cropgro‑Soybean model, RCP4.5, SoySim model, SRES A1B

Abstract

The 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.

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Published

2017-07-07

How to Cite

Cera, J. C., Streck, N. A., Fensterseifer, C. A. J., Ferraz, S. E. T., Bexaira, K. P., Silveira, W. B., & Cardoso, Ânthony P. (2017). Soybean yield in future climate scenarios for the state of Rio Grande do Sul, Brazil. Pesquisa Agropecuaria Brasileira, 52(6), 380–392. https://doi.org/10.1590/S1678-3921.pab2017.v52.23673

Issue

Section

AGROMETEOROLOGY