Future climate suitability of Hemileia vastatrix in arabica coffee under CMIP6 scenarios

被引:1
|
作者
Aparecido, Lucas Eduardo de Oliveira [1 ]
Torsoni, Guilherme Botega [2 ]
Lorencone, Joao Antonio [2 ]
Lorencone, Pedro Antonio [2 ]
de Lima, Rafael Fausto [3 ]
de Souza Rolim, Glauco [3 ]
Saqui, Diego [1 ]
de Oliveira Junior, Geraldo Gomes [1 ]
机构
[1] Fed Inst Minas Gerais, Muzambinho, MG, Brazil
[2] Fed Inst Mato Grosso Sul IFMS, Campo Grande, MS, Brazil
[3] Fac Ciencias Agr & Vet, Jaboticabal, Brazil
关键词
plant pathology; environmental modeling; agricultural impacts; climate risk assessment; climate adaptation strategies; EUCALYPTUS RUST; PLANT-PATHOGENS; LEAF RUST; FAVORABILITY; ADAPTATION; REDUCE; SHADE;
D O I
10.1002/jsfa.13838
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
BACKGROUND: Coffee (Coffea arabica L.) is one of the most important commodities today, with a high economic value worldwide. Coffee leaf rust (Hemileia vastatrix Berk. et Br.) has been showing a high impact on Brazilian coffee trees among the various diseases that attack coffee. The climate has a great influence on the development of diseases, especially when fungi are the causal agents. This study aimed to carry out the zoning of climate favorability for coffee leaf rust in the traditional and main coffee-producing regions of Brazil. The study was conducted in 13 locations in the states of Paran & aacute;, S & atilde;o Paulo, Rio de Janeiro, Esp & iacute;rito Santo, Minas Gerais, Goi & aacute;s and Bahia. Air temperature and daily precipitation data for the current scenario were collected using the WorldClim version 2.1 platform for the last climatological normal and future climate change data. The ideal climate conditions for coffee leaf rust consist of a mean air temperature ranging from 21 to 25 degrees C and precipitation >30 mm per month. The Coupled Model Intercomparison Projects scenarios associated with the Intergovernmental Panel on Climate Change reports consisted of the Shared Socio-Economic Pathways SSP-1 2.6, SSP-2 4.5, SSP-3 7.0 and SSP-5 8.5, the latter being considered one of the most catastrophic. All steps to carry out the suitability zoning were performed in a tool using the QGIS geographic information system software. RESULTS: Zoning for coffee leaf rust had three classes: favorable, relatively favorable and unfavorable. Currently, the largest coffee-producing region in Brazil has 49.1% of its analyzed area classified as favorable, 39.2% as relatively favorable and 11.7% as unfavorable. In the current scenario, Patroc & iacute;nio and Tr & ecirc;s Pontas are locations with high coffee production in which the favorable class is predominant. The state of Minas Gerais has an annual mean of 55.3% of its entire territory apt for the disease, with the highest occurrence between September and March. CONCLUSIONS: Climate change has a negative impact on the development of coffee leaf rust, mainly in the long term, as in the period of 2081-2100, in which the SSP-5 8.5 scenario led to a decrease in the favorable and unfavorable areas and an increase in the relatively favorable areas of 9.8%, 18.6% and 71.5% for the Brazilian territory, respectively. (c) 2024 Society of Chemical Industry.
引用
收藏
页码:394 / 421
页数:28
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