Simulação do desenvolvimento, crescimento e produtividade de soja em condições climáticas atuais e futuras para o Rio Grande do Sul

• Ano de defesa: 2016
• Autor(a) principal: Cera, Jossana Ceolin
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; BR; Engenharia Agrícola; UFSM; Programa de Pós-Graduação em Engenharia Agrícola
• Palavras-chave em Português: Glycine max (L.) Merr; Modelo SoySim; Modelo CROPGRO-Soybean; Cenários climáticos futuros; SoySim model; CROPGRO-Soybean model; Future climate scenarios; CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
• Link de acesso: http://repositorio.ufsm.br/handle/1/3635

Soybean is a mainly agricultural world commodity, with United States, Brazil, and Argentina as mainly producers. This thesis had as objectives (i) evaluate the SoySim model to simulate growth, development, and yield of soybean cultivars with maturity groups greater than 4.2 in a subtropical region of Brazil and (ii) simulate the soybean yield potential and rainfed in the Rio Grande do Sul State in two climate futuro scenarios of IPCC (SRES A1B and RCP4.5) with the crop models SoySim and CROPGRO-Soybean. To reach the first objective, were used data from field experiments with 20 soybean cultivars, in 38 diferent sowing dates during 2010/2011, 2011/2012, 2012/2013, 2013/2014 and 2014/2015 growing seasons, in 12 locations at Rio Grande do Sul State. The soybean cultivars have maturity group varying between 4.8 and 8.2 and indeterminate and semi-determinate growth habit. The evaluation of the SoySim model show reasonable simulations of the variables of the V-stage and R-stage, final node number, and yield, but in general, the simulations that had the lower errors, were those with maturity groups lower than 6.0. For the second objective, the simulations with the emission scenarios SRES A1B and RCP4.5 forcing the crop models SoySim and CROPGRO-Soybean showed an increase on soybean yield in Rio Grande do Sul State until the end of the XXI century, with a positive change around 2 Mg ha-1 for the 2070-2099 period related to the baseline (1980-2009).