Modeling the brown eye spot sampling in Arabica coffee

José Salazar Zanuncio Junior; Hélcio Costa; Raíza Rainha Dorzenoni; Rogério Carvalho Guarçoni; Maurício Lorenção Fornazier; Suiane Reinaldo Sossai; Luciana Aparecida Botacim; Elaine Manelli Riva Souza; Maria Amélia Gava Ferrão; David dos Santos Martins; Luiz Fernando Favarato; Maurício José Fornazier

Modeling the brown eye spot sampling in Arabica coffee

( Vol-9,Issue-4,April 2022 ) OPEN ACCESS

Author(s):

José Salazar Zanuncio Junior, Hélcio Costa, Raíza Rainha Dorzenoni, Rogério Carvalho Guarçoni, Maurício Lorenção Fornazier, Suiane Reinaldo Sossai, Luciana Aparecida Botacim, Elaine Manelli Riva Souza, Maria Amélia Gava Ferrão, David dos Santos Martins, Luiz Fernando Favarato, Maurício José Fornazier

Keywords:

Bootstrap method, disease, experimental precision, integrated pest management, Mycosphaerella (or Cercospora) coffeicola, simulation.

Abstract:

Coffee production has a great socioeconomic importance for Brazil. It generates direct and indirect jobs, and foreign exchange, with Brazilian Arabica coffee production estimated between 42 - 46 million bags (60 kg) in 2020. It is the main agribusiness activity in the State of Espírito Santo, Brazil with expected production between 13 - 15 million bags, and around 30% of this production is Arabica coffee. Technologies are recommended to coffee growers to increase yield, and production of specialty coffees on sustainable properties. Among the principles of integrated management is the monitoring of pests and diseases to determine the level of pest control. The estimate of the number of leaves to be sampled in the monitoring becomes an important tool to increase the accuracy of the obtained information. This research was carried out aiming to determine the minimum number of leaves necessary to evaluate the infestation of brown eye spot (BES) of coffee in Arabica coffee (Coffea arabica L.) without affecting the accuracy of the collection method. It was observed that the estimate of the minimum number for sampling was 46 leaves for the characteristics of incidence, and severity of BES in Arabica coffee. The modeling applied in this study allows to conclude that it is possible to recommend an optimum number of Arabica coffee leaves for these edaphoclimatic conditions, and variety, and it can serve as a basis for monitoring in an integrated pest and disease management program in Arabica coffee.

Article Info:

Received: 22 Mar 2022, Received in revised form: 19 Apr 2022, Accepted: 25 Apr 2022, Available online: 30 Apr 2022