Data/hora: 09/06/2024 08:32:08

Provedor de dados: | 86
País: | Brazil
Título: | Forecasting of the annual yield of Arabic coffee using water deficiency
Autores: | Aparecido,Lucas Eduardo de Oliveira; Rolim,Glauco de Souza.
Data: | 2018-12-01
Ano: | 2018
Palavras-chave: | Coffea arabica; Agrometeorology; Climate; Forecasting; Model; Water balance.
Resumo: | Abstract: The objective of this work was to develop agrometeorological models for the forecasting of the annual yields of Arabic coffee (Coffea arabica), using monthly water deficits (DEFs) during the coffee cycle, in important locations in the state of Minas Gerais, Brazil. For the construction of the models, a meteorological data set spanning of 18 years and multiple linear regressions were used. The models were calibrated in high- and low-yield seasons due to the high-biennial yields in Brazil. All calibrated models for high- and low-yield seasons were accurate and significant at 5% probability, with mean absolute percentage errors ≤2.9%. The minimum forecasting period for yield is six months for southern Minas Gerais and Cerrado Mineiro. In high-yield seasons, water deficits affect more the reproductive stage of coffee and, in low-yield seasons, they affect more the vegetative stage of the crop.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018001201299

Editor:

Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira

Relação: | 10.1590/s0100-204x2018001200002
Formato: | text/html
Fonte: | Pesquisa Agropecuária Brasileira  v.53 n.12 2018
Fonte: | info:eu-repo/semantics/openAccess