2021
DOI: 10.3390/agronomy11112284
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Coffee Rust Forecast Systems: Development of a Warning Platform in a Minas Gerais State, Brazil

Abstract: This study aimed to develop a warning system platform for coffee rust incidence fifteen days in advance, as well as validating and regionalizing multiple linear regression models based on meteorological variables. The models developed by Pinto were validated in five counties. Experiments were set up in a randomized block design with five treatments and five replications. The experimental plot had six lines with 20 central plants of useful area. Assessments of coffee rust incidence were carried out fortnightly.… Show more

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“…These models are mainly based on CLR severity values, occurrence of favorable leaf temperature and humidity, and meteorological data. Since the 1960s, more than 20 models have been developed to predict different indicators of the disease's development and can help manage it [55][56][57][58][59]. However, these models are not yet used to control rust in coffee farms.…”
Section: Frequency Of Fungicide Spraying In Brazilmentioning
confidence: 99%
“…These models are mainly based on CLR severity values, occurrence of favorable leaf temperature and humidity, and meteorological data. Since the 1960s, more than 20 models have been developed to predict different indicators of the disease's development and can help manage it [55][56][57][58][59]. However, these models are not yet used to control rust in coffee farms.…”
Section: Frequency Of Fungicide Spraying In Brazilmentioning
confidence: 99%