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@InProceedings{CamiloAnAmTiMeChGa:2018:ImClCh,
               author = "Camilo, Jennifer Alves and Andrade, Camilo de Lelis Teixeira de 
                         and Amaral, Tales Ant{\^o}nio and Tigges, Christoph Hermann 
                         Passos and Melo, Mariana Luciana Abreu de and Chou, Sin Chan and 
                         Garcia y Garcia, Axel",
          affiliation = "{Universidade Federal de S{\~a}o Jo{\~a}o del Rei} and {Empresa 
                         Brasileira de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and {} and 
                         {Universidade Federal de S{\~a}o Jo{\~a}o del Rei} and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Minnesota}",
                title = "Impact of climate change on maize grown in the Brazilian Cerrado",
            booktitle = "Proceedings...",
                 year = "2018",
         organization = "ASABE 2018. Annual International Meeting",
            publisher = "American Society of Agricultural and Biological Engineers",
             keywords = "Global warming, Corn, Modeling, Yield, Zea mays L.",
             abstract = "Crops are subject to instabilities of climatic conditions that 
                         affect yield. Maize is very sensitive to factors like temperature, 
                         solar radiation and rainfall. The objective of this work was to 
                         evaluate, using crop growth models, the effects of climate change 
                         on maize grain yield produced under rainfed conditions. Two global 
                         circulation models, HadGEM2- ES and MIROC5, coupled to the 
                         regional model Eta, were used to generate projections of changes 
                         in maximum and minimum air temperature, solar radiation and 
                         rainfall for conditions in southeastern Brazil. The 
                         CSM-CERES-Maize model was then used to evaluate the effect of 
                         climate changes on rainfed maize grain yield. For each combination 
                         of global and regional circulation models, two greenhouse gas 
                         concentration scenarios were used: RCP4.5 and RCP8.5. The combined 
                         use of global circulation and crop growth models allowed us to 
                         estimate the expected average grain yield of corn as affected by 
                         future climate. The simulated results indicated that, even at best 
                         sowing dates, considerable reduction in maize grain yield may 
                         occur. Our simulated results also indicated that the largest grain 
                         yield reductions may occur for future climate scenarios from 2071 
                         to the end of the 21st century.",
  conference-location = "Detroit, United States",
      conference-year = "29 jul. - 01 aug.",
                  doi = "10.13031/aim.201800967",
                  url = "http://dx.doi.org/10.13031/aim.201800967",
             language = "en",
           targetfile = "camilo2018.pdf",
        urlaccessdate = "29 nov. 2020"
}


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