@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 = "09 maio 2024"
}