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Risk analysis of climate change on coffee nematodes and leaf miner in Brazil PAB
Ghini,Raquel; Hamada,Emília; Pedro Júnior,Mário José; Marengo,José Antonio; Gonçalves,Renata Ribeiro do Valle.
The objective of this work was to assess the potential impact of climate change on the spatial distribution of coffee nematodes (races of Meloidogyne incognita) and leaf miner (Leucoptera coffeella), using a Geographic Information System. Assessment of the impacts of climate change on pest infestations and disease epidemics in crops is needed as a basis for revising management practices to minimize crop losses as climatic conditions shift. Future scenarios focused on the decades of the 2020's, 2050's, and 2080's (scenarios A2 and B2) were obtained from five General Circulation Models available on Data Distribution Centre from Intergovernmental Panel on Climate Change. Geographic distribution maps were prepared using models to predict the number of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea arabica; Leucoptera coffeella; Meloidogyne incognita; Global warming; Pest zoning.
Ano: 2008 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2008000200005
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Geographical distribution of the incubation period of coffee leaf rust in climate change scenarios PAB
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.
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...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Coffea arabica; Hemileia vastatrix; Arabica coffee; Plant disease severity; Regional climate modelling; Spatial analyses.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102301
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