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Provedor de dados:  PAB
País:  Brazil
Título:  Geographical distribution of the incubation period of coffee leaf rust in climate change scenarios
Autores:  Alfonsi,Waldenilza Monteiro Vital
Coltri,Priscila Pereira
Zullo Júnior,Jurandir
Patrício,Flávia Rodrigues Alves
Gonçalves,Renata Ribeiro do Valle
Shinji,Kaio
Alfonsi,Eduardo Lauriano
Koga-Vicente,Andrea
Data:  2019-01-01
Ano:  2019
Palavras-chave:  Coffea arabica
Hemileia vastatrix
Arabica coffee
Plant disease severity
Regional climate modelling
Spatial analyses
Resumo:  Abstract: The objective of this work was to simulate the geographical distribution of the incubation period of coffee leaf rust in Coffea arabica, using data of two regional climate models, Eta-HadGEM2-ES and Eta-MIROC5. The scenario of high greenhouse gas emission (RCP 8.5 W m-2) was used for the states of Minas Gerais and São Paulo, Brazil, for current and future climate scenarios. The behavior of six different regression equations for incubation period (IP), available in the literature, was also analyzed as affected by data from the regional climate models. The results indicate the possibility of an increase in the affected area in the studied region, when the IP is less than 19 days, from 0.5% for Eta-MIROC5 to 14.2% for Eta-HadGEM2-ES. The severity of coffee leaf rust in future scenarios should increase in the hottest and wettest months of the year, extending to the driest and coldest months. The potential of rust infection is estimated differently by the studied equations. In higher temperature scenarios, the Kushalappa & Martins equation indicates a very high severity potential.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102301
Editor:  Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira
Relação:  10.1590/s1678-3921.pab2019.v54.00273
Formato:  text/html
Fonte:  Pesquisa Agropecuária Brasileira v.54 2019
Direitos:  info:eu-repo/semantics/openAccess
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