Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach
Abstract Coffee 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 developmen...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Meteorologia
2024-01-01
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| Series: | Revista Brasileira de Meteorologia |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862023000100218&tlng=en |
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| author | Lucas Eduardo De Oliveira Aparecido João Antonio Lorençone Pedro Antonio Lorençone Guilherme Botega Torsoni Rafael Fausto de Lima Alisson Gaspar Chiquitto Diego Saqui Geraldo Gomes de Oliveira Júnior Glauco de Souza Rolim |
| author_facet | Lucas Eduardo De Oliveira Aparecido João Antonio Lorençone Pedro Antonio Lorençone Guilherme Botega Torsoni Rafael Fausto de Lima Alisson Gaspar Chiquitto Diego Saqui Geraldo Gomes de Oliveira Júnior Glauco de Souza Rolim |
| author_sort | Lucas Eduardo De Oliveira Aparecido |
| collection | DOAJ |
| description | Abstract Coffee 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. |
| first_indexed | 2024-03-08T15:49:32Z |
| format | Article |
| id | doaj.art-30470061dc9749e3835bf39c04850dee |
| institution | Directory Open Access Journal |
| issn | 1982-4351 |
| language | English |
| last_indexed | 2024-03-08T15:49:32Z |
| publishDate | 2024-01-01 |
| publisher | Sociedade Brasileira de Meteorologia |
| record_format | Article |
| series | Revista Brasileira de Meteorologia |
| spelling | doaj.art-30470061dc9749e3835bf39c04850dee2024-01-09T07:38:32ZengSociedade Brasileira de MeteorologiaRevista Brasileira de Meteorologia1982-43512024-01-013810.1590/0102-77863810041Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling ApproachLucas Eduardo De Oliveira Aparecidohttps://orcid.org/0000-0003-2685-3944João Antonio LorençonePedro Antonio LorençoneGuilherme Botega TorsoniRafael Fausto de LimaAlisson Gaspar ChiquittoDiego SaquiGeraldo Gomes de Oliveira JúniorGlauco de Souza RolimAbstract Coffee 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862023000100218&tlng=enagricultural adaptationcoffee plantingdisease predictionclimate variabilityIPCC |
| spellingShingle | Lucas Eduardo De Oliveira Aparecido João Antonio Lorençone Pedro Antonio Lorençone Guilherme Botega Torsoni Rafael Fausto de Lima Alisson Gaspar Chiquitto Diego Saqui Geraldo Gomes de Oliveira Júnior Glauco de Souza Rolim Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach Revista Brasileira de Meteorologia agricultural adaptation coffee planting disease prediction climate variability IPCC |
| title | Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach |
| title_full | Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach |
| title_fullStr | Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach |
| title_full_unstemmed | Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach |
| title_short | Climate Change and Phoma spp. Leaf Spot of Arabica Coffee: A CMIP6 Modeling Approach |
| title_sort | climate change and phoma spp leaf spot of arabica coffee a cmip6 modeling approach |
| topic | agricultural adaptation coffee planting disease prediction climate variability IPCC |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862023000100218&tlng=en |
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