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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Climate and natural quality of Coffea arabica L. drink

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Autor(es):
Rolim, Glauco de Souza [1] ; Aparecido, Lucas Eduardo de Oliveira [1] ; de Souza, Paulo Sergio [1] ; Lamparelli, Rubens Augusto Camargo [1] ; dos Santos, Eder Ribeiro [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] UNESP Sao Paulo State Univ, Dept Exact Sci, BR-14884900 Jaboticabal, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: THEORETICAL AND APPLIED CLIMATOLOGY; v. 141, n. 1-2, p. 87-98, JUL 2020.
Citações Web of Science: 2
Resumo

The natural quality (NQ) of a coffee drink is defined as the one that is obtained in the year of bean production with the standard postharvest treatments of the region. The NQ varies with the climatic conditions during the crop cycle and with the drying period of beans in the sun. A well-formed bean can provide a good drink if well processed, but a bean grown during unfavourable environmental conditions will have poor quality regardless of the postharvest options. The goals of this study were to (1) increase our understanding of the relationship between meteorological elements (MEs) and NQ in coffee-producing regions, (2) identify the ranges of the MEs during the crop cycle that optimise quality, and (3) develop models to predict NQ based on the MEs. We used the two major regions of coffee production in the Brazilian state of Minas Gerais, the Cerrado Mineiro (CEMG), and the southern Minas Gerais (SOMG). We mapped the influences of ME on NQ successfully. Air temperature in November and December for SOMG and precipitation from November to January for CEMG were generally the most important MEs for NQ. Water deficiency, water storage, and rainfall became increasingly more important during winter (June to September) than during other seasons. The crop models were accurate, with errors < 7.9% for predicting NQ for all regions. These models used precipitation in June and December, the actual evapotranspiration in May, and the water deficit in April as the MEs for CEMG, and the rainfall in June and December, the water storage in April, and the actual evapotranspiration in May as the MEs for SOMG. (AU)

Processo FAPESP: 14/05025-4 - Modelos agrometeorológicos para previsão da produtividade e qualidade de bebida natural do cafeeiro
Beneficiário:Lucas Eduardo de Oliveira Aparecido
Modalidade de apoio: Bolsas no Brasil - Mestrado