Development of a database to map the distribution of peanut smut in Brazil

Detalhes bibliográficos
Autor(a) principal: Procópio, Cláudia Dantas
Data de Publicação: 2020
Outros Autores: Santana Custodio dos Santos Avelino, Cristiane, Bergamin Sugimoto, Marcel Norie, Soares, Dartanha José
Tipo de documento: Artigo
Idioma: por
Título da fonte: South American Sciences
Texto Completo: https://www.southamericansciences.com.br/index.php/sas/article/view/13
Resumo: The peanut smut, caused by the fungus Thecaphora frezzii, was first reported in commercial fields in Argentina in the middle 1990"™s, and since 2015, it has been regarded one of the most important disease of peanut. Since this fungus is mainly spread by seed, and regarding that peanut growers in Brazil regularly import seeds from Argentina, it was observed the necessity to start to monitor the presence of this pathogen in Brazil, to avoid the serious losses reported in Argentina. Thus the aim of the present work is to present the development of a database created to organize the information regarding the monitoring of peanut smut pathogen in peanut commercial production areas in Brazil. The database manager system used was PostgreSQL with the PostGIS extension. A web interface, built using Java programming language with data inserted in GeoServer, shows the distribution of analyzed samples per municipality using a colored circumference with size proportional to the total number of samples. Different colors were used to allow a quick visualization of municipalities where the presence of the pathogen was confirmed or not. The present database and its web interface will not only allow both growers and phytossanitary authorities to visualize the pathogen distribution throughout the peanut growing areas, but will also provide useful information to a better understanding of its epidemiology.
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spelling Development of a database to map the distribution of peanut smut in BrazilDesarrollo de una base de datos para mapear la distribución del carbón de maní en BrasilDesenvolvimento de um banco de dados para mapeamento da dispersão do carvão do amendoim no BrasilArachis hypogaea L. distribución geográfica Thecaphora frezziiArachis hypogaeageographic distributionThecaphora frezziiArachis hypogaea L.Distribuição geográfica Thecaphora frezziiThe peanut smut, caused by the fungus Thecaphora frezzii, was first reported in commercial fields in Argentina in the middle 1990"™s, and since 2015, it has been regarded one of the most important disease of peanut. Since this fungus is mainly spread by seed, and regarding that peanut growers in Brazil regularly import seeds from Argentina, it was observed the necessity to start to monitor the presence of this pathogen in Brazil, to avoid the serious losses reported in Argentina. Thus the aim of the present work is to present the development of a database created to organize the information regarding the monitoring of peanut smut pathogen in peanut commercial production areas in Brazil. The database manager system used was PostgreSQL with the PostGIS extension. A web interface, built using Java programming language with data inserted in GeoServer, shows the distribution of analyzed samples per municipality using a colored circumference with size proportional to the total number of samples. Different colors were used to allow a quick visualization of municipalities where the presence of the pathogen was confirmed or not. The present database and its web interface will not only allow both growers and phytossanitary authorities to visualize the pathogen distribution throughout the peanut growing areas, but will also provide useful information to a better understanding of its epidemiology. El carbón de maní, causada por el hongo Thecaphora frezzii, fue reportado la primera vez en campos comerciales en Argentina en la década de 1990, y desde 2015, se ha considerado una de las enfermedades más importantes del maní. Dado que este hongo se propaga principalmente por semillas, y una vez que los productores de maní de Brasil regularmente importan semillas de Argentina, se observó la necesidad de comenzar a monitorear la presencia de este patógeno en Brasil, para evitar las graves pérdidas reportadas en Argentina. Por esta razón, el objetivo del presente trabajo es presentar el desarrollo de una base de datos creada para organizar la información sobre el monitoreo del carbón de maní en las áreas de producción comercial de maní en Brasil. El sistema de administrador de base de datos utilizado fue PostgreSQL con la extensión PostGIS. Una interfaz web, construida utilizando lenguaje de programación Java con datos insertados en GeoServer, muestra la distribución de las muestras analizadas por municipalidad utilizando una circunferencia con tamaño proporcional al número total de muestras. Se utilizaron diferentes colores para permitir una visualización rápida de las municipalidades donde se confirmó o no la presencia del patógeno. La base de datos y su interfaz web no solo permitirán a los productores y las autoridades fitosanitarias visualizar la distribución de patógenos en las áreas de cultivo de maní, sino que también proporcionarán información útil para una mejor comprensión de su epidemiología. O carvão do amendoim, causado pelo fungo Thecaphora frezzii, foi relatado pela primeira vez na Argentina em meados da década de 1990, e desde 2015 tem sido considerada uma das principais doenças do amendoim. Uma vez que o fungo é principalmente disperso pelas sementes, e considerando que o Brasil regularmente importa sementes da Argentina, foi observada a necessidade de iniciar o monitoramento da presença desse fungo no Brasil, de modo a evitar que está doença venha a causar prejuízos aos produtores brasileiros. Dessa forma, o objetivo deste trabalho é apresentar o desenvolvimento do banco de dados que foi criado para organizar as informações relativas ao mapeamento das áreas de produção de amendoim do Brasil quanto a distribuição do agente causal do carvão do amendoim. Foi utilizado o Sistema Gerenciador de Bancos de Dados (SGBD) PostgreSQL com extensão espacial PostGIS. Para apresentação dos dados foi desenvolvido um sistema de informação Web, na linguagem de programação Java que, a partir do servidor de mapas GeoServer, mostra a distribuição das amostras analisadas por município. Diferentes cores foram usadas para permitir a rápida visualização dos municípios onde a presença do patógeno foi confirmada ou não. Além de permitir a visualização da distribuição das amostras pelos interessados, o desenvolvimento do presente banco de dados será útil em estudos futuros visando entender melhor a dinâmica de dispersão do patógeno.  SAS2020-10-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.southamericansciences.com.br/index.php/sas/article/view/1310.17648/sas.v1i2.13South American Sciences; Vol. 1 Núm. 2 (2020): South American Sciences; e2013South American Sciences; v. 1 n. 2 (2020): South American Sciences; e20132675-722210.17648/sas.v1i2reponame:South American Sciencesinstname:Instituto Prosinstacron:PROSporhttps://www.southamericansciences.com.br/index.php/sas/article/view/13/97Copyright (c) 2020 South American Sciencesinfo:eu-repo/semantics/openAccessProcópio, Cláudia Dantas Santana Custodio dos Santos Avelino, CristianeBergamin Sugimoto, Marcel NorieSoares, Dartanha José2020-11-07T14:36:42Zoai:ojs2.southamericansciences.com.br:article/13Revistahttps://www.southamericansciences.com.br/index.php/sasPRIhttps://www.southamericansciences.com.br/index.php/sas/oaisoares-agro@hotmail.com || atenaconsultoriac@gmail.com2675-72222675-7222opendoar:2020-11-07T14:36:42South American Sciences - Instituto Prosfalse
dc.title.none.fl_str_mv Development of a database to map the distribution of peanut smut in Brazil
Desarrollo de una base de datos para mapear la distribución del carbón de maní en Brasil
Desenvolvimento de um banco de dados para mapeamento da dispersão do carvão do amendoim no Brasil
title Development of a database to map the distribution of peanut smut in Brazil
spellingShingle Development of a database to map the distribution of peanut smut in Brazil
Procópio, Cláudia Dantas
Arachis hypogaea L.
distribución geográfica
Thecaphora frezzii
Arachis hypogaea
geographic distribution
Thecaphora frezzii
Arachis hypogaea L.
Distribuição geográfica
Thecaphora frezzii
title_short Development of a database to map the distribution of peanut smut in Brazil
title_full Development of a database to map the distribution of peanut smut in Brazil
title_fullStr Development of a database to map the distribution of peanut smut in Brazil
title_full_unstemmed Development of a database to map the distribution of peanut smut in Brazil
title_sort Development of a database to map the distribution of peanut smut in Brazil
author Procópio, Cláudia Dantas
author_facet Procópio, Cláudia Dantas
Santana Custodio dos Santos Avelino, Cristiane
Bergamin Sugimoto, Marcel Norie
Soares, Dartanha José
author_role author
author2 Santana Custodio dos Santos Avelino, Cristiane
Bergamin Sugimoto, Marcel Norie
Soares, Dartanha José
author2_role author
author
author
dc.contributor.author.fl_str_mv Procópio, Cláudia Dantas
Santana Custodio dos Santos Avelino, Cristiane
Bergamin Sugimoto, Marcel Norie
Soares, Dartanha José
dc.subject.por.fl_str_mv Arachis hypogaea L.
distribución geográfica
Thecaphora frezzii
Arachis hypogaea
geographic distribution
Thecaphora frezzii
Arachis hypogaea L.
Distribuição geográfica
Thecaphora frezzii
topic Arachis hypogaea L.
distribución geográfica
Thecaphora frezzii
Arachis hypogaea
geographic distribution
Thecaphora frezzii
Arachis hypogaea L.
Distribuição geográfica
Thecaphora frezzii
description The peanut smut, caused by the fungus Thecaphora frezzii, was first reported in commercial fields in Argentina in the middle 1990"™s, and since 2015, it has been regarded one of the most important disease of peanut. Since this fungus is mainly spread by seed, and regarding that peanut growers in Brazil regularly import seeds from Argentina, it was observed the necessity to start to monitor the presence of this pathogen in Brazil, to avoid the serious losses reported in Argentina. Thus the aim of the present work is to present the development of a database created to organize the information regarding the monitoring of peanut smut pathogen in peanut commercial production areas in Brazil. The database manager system used was PostgreSQL with the PostGIS extension. A web interface, built using Java programming language with data inserted in GeoServer, shows the distribution of analyzed samples per municipality using a colored circumference with size proportional to the total number of samples. Different colors were used to allow a quick visualization of municipalities where the presence of the pathogen was confirmed or not. The present database and its web interface will not only allow both growers and phytossanitary authorities to visualize the pathogen distribution throughout the peanut growing areas, but will also provide useful information to a better understanding of its epidemiology.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.southamericansciences.com.br/index.php/sas/article/view/13
10.17648/sas.v1i2.13
url https://www.southamericansciences.com.br/index.php/sas/article/view/13
identifier_str_mv 10.17648/sas.v1i2.13
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.southamericansciences.com.br/index.php/sas/article/view/13/97
dc.rights.driver.fl_str_mv Copyright (c) 2020 South American Sciences
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 South American Sciences
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAS
publisher.none.fl_str_mv SAS
dc.source.none.fl_str_mv South American Sciences; Vol. 1 Núm. 2 (2020): South American Sciences; e2013
South American Sciences; v. 1 n. 2 (2020): South American Sciences; e2013
2675-7222
10.17648/sas.v1i2
reponame:South American Sciences
instname:Instituto Pros
instacron:PROS
instname_str Instituto Pros
instacron_str PROS
institution PROS
reponame_str South American Sciences
collection South American Sciences
repository.name.fl_str_mv South American Sciences - Instituto Pros
repository.mail.fl_str_mv soares-agro@hotmail.com || atenaconsultoriac@gmail.com
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