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Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach

dc.contributor.authorAparecido, Lucas Eduardo De Oliveira
dc.contributor.authorLorençone, João Antonio
dc.contributor.authorLorençone, Pedro Antonio
dc.contributor.authorTorsoni, Guilherme Botega
dc.contributor.authorde Lima, Rafael Fausto [UNESP]
dc.contributor.authorChiquitto, Alisson Gaspar
dc.contributor.authorSaqui, Diego
dc.contributor.authorde Oliveira Júnior, Geraldo Gomes
dc.contributor.authorRolim, Glauco de Souza [UNESP]
dc.contributor.institutionInstituto Federal do Sul de Minas
dc.contributor.institutionInstituto Federal de Mato Grosso do Sul
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T20:14:24Z
dc.date.issued2023-01-01
dc.description.abstractCoffee is currently one of the main commodities traded in the world. Brazil is the largest producer and exporter of the grain. Fungal diseases are very common in coffee crops and control represents a large part of coffee production costs. The climate is an essential factor in the development of a disease such as phoma leaf spot. This disease is favored by high atmospheric humidity and mild temperatures. In this context, this study aimed to carry out the climatic favorability zoning for one of the main coffee diseases (Phoma ssp.) of the coffee-growing region in Brazil. The study was conducted in the main traditional coffee growing regions, i.e., the states of Paraná (PR), São Paulo (SP), Rio de Janeiro (RJ), Espírito Santo (ES), Minas Gerais (MG), Goiás (GO), and Bahia (BA), totaling 2730 municipalities. Air temperature and daily precipitation data for the current scenario were collected from the WorldClim version 2.1 platform for the latest climatological normal in GeoTIFF format. Future climate variables were obtained by the WorldClim 2.1 platform for the IPSL-CM6A-LR global climate model for the periods 2021-2040, 2041-2060, 2061-2080, and 2081-2100 and the scenarios SSP-1 2.6, SSP-2 4.5, SSP-3 7.0, and SSP-5 8.5, respectively. Thus, zoning was carried out using software of geographic information systems (QGIS), automated with the Python language. Also, graphs were prepared to better represent the results. About 54.77% of the coffee-producing region presented relatively favorable conditions for the development of Phoma leaf spot, 30.55% favorable, 3.20% highly, and 11.48% showed no climate conditions for the occurrence of the disease. The climate conditions from October to March favored the occurrence of phoma leaf spot. The Phoma spp. Leaf spot will probably reduce its occurrence in all future scenarios due to the loss of favorable climate conditions. During the period 2081-2100, 85.03% of the entire region would be unfavorable to the development of homas pp. For the most pessimistic scenario (SSP-5 8.5). Climate changes will provide unsuitable conditions for the development of Phoma spp.en
dc.description.affiliationDepartamento de Agrometereologia Instituto Federal do Sul de Minas, MG
dc.description.affiliationDepartamento de Agrometereologia Instituto Federal de Mato Grosso do Sul, MS
dc.description.affiliationDepartamento de Agrometereologia Universidade Estadual Paulista “Júlio de Mesquita Filho”, SP
dc.description.affiliationUnespDepartamento de Agrometereologia Universidade Estadual Paulista “Júlio de Mesquita Filho”, SP
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipIdFAPEMIG: APQ00065-21
dc.identifierhttp://dx.doi.org/10.1590/0102-77863810041
dc.identifier.citationRevista Brasileira de Meteorologia, v. 38.
dc.identifier.doi10.1590/0102-77863810041
dc.identifier.issn1982-4351
dc.identifier.issn0102-7786
dc.identifier.scopus2-s2.0-85182474487
dc.identifier.urihttps://hdl.handle.net/11449/309103
dc.language.isoeng
dc.relation.ispartofRevista Brasileira de Meteorologia
dc.sourceScopus
dc.subjectagricultural adaptation
dc.subjectclimate variability
dc.subjectcoffee planting
dc.subjectdisease prediction
dc.subjectIPCC
dc.titleClimate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approachen
dc.titleMudanças Climáticas e a Mancha Foliar de Phoma spp. no Café Arábica: Uma Abordagem de Modelação CMIP6pt
dc.typeArtigopt
dspace.entity.typePublication

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