Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.

This study presents an application of the geographical information system technology on plant disease involving a multidisciplinary teamwork of geoprocessing and physiopathology specialists. The spatial analysis tools in a GIS were used to evaluate the spatial distribution of two diseases of maize in Brazil: polysora rusl caused by Puccinia polysora and tropical rust caused by Physopella zeae. A database of cIimate variables (mean temperature. relative humidity. and leaf wetness duration) of cIimatological normal from 1961-1990 was obtained and then related it to a mathematical model of disease development (polysora rust) and to the cIimate intervals (tropical rust) in order to obtain the maps. The choice of the model or the favorable climate interval is the important chalIenge of the method because the difficulty of adequacy to the spatial and temporal scales for the specific application. The major incidence of both disease occurred in almost alI the North region from January to June. although this region has traditionalIy a low production of maize. Considering the biggest producers regions. for both the diseases, favorable areas are located in part of Mato Grosso, Tocanlins. Minas Gerais; Mato Grosso do Sul. and coastal areas of São Paulo, Paraná, and Santa Catarina. varying among the dilferent months from January to June. The method allowed making an adequate distinction of the states and the months considered.

Saved in:
Bibliographic Details
Main Authors: HAMADA, E., GHINI, R., LANA, J. T. de O., SABATO, E. de O.
Other Authors: EMILIA HAMADA, CNPMA; RAQUEL GHINI, CNPMA; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIZABETH DE OLIVEIRA SABATO, CNPMS.
Format: Separatas biblioteca
Language:pt_BR
por
Published: 2009-12-15
Subjects:Período de molhamento foliar, Milho, Temperatura, Umidade relativa,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/577988
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-alice-doc-577988
record_format koha
spelling dig-alice-doc-5779882017-08-16T03:13:57Z Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil. HAMADA, E. GHINI, R. LANA, J. T. de O. SABATO, E. de O. EMILIA HAMADA, CNPMA; RAQUEL GHINI, CNPMA; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIZABETH DE OLIVEIRA SABATO, CNPMS. Período de molhamento foliar Milho Temperatura Umidade relativa This study presents an application of the geographical information system technology on plant disease involving a multidisciplinary teamwork of geoprocessing and physiopathology specialists. The spatial analysis tools in a GIS were used to evaluate the spatial distribution of two diseases of maize in Brazil: polysora rusl caused by Puccinia polysora and tropical rust caused by Physopella zeae. A database of cIimate variables (mean temperature. relative humidity. and leaf wetness duration) of cIimatological normal from 1961-1990 was obtained and then related it to a mathematical model of disease development (polysora rust) and to the cIimate intervals (tropical rust) in order to obtain the maps. The choice of the model or the favorable climate interval is the important chalIenge of the method because the difficulty of adequacy to the spatial and temporal scales for the specific application. The major incidence of both disease occurred in almost alI the North region from January to June. although this region has traditionalIy a low production of maize. Considering the biggest producers regions. for both the diseases, favorable areas are located in part of Mato Grosso, Tocanlins. Minas Gerais; Mato Grosso do Sul. and coastal areas of São Paulo, Paraná, and Santa Catarina. varying among the dilferent months from January to June. The method allowed making an adequate distinction of the states and the months considered. 2011-04-10T11:11:11Z 2011-04-10T11:11:11Z 2009-12-15 2009 2016-05-25T11:11:11Z Separatas In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. http://www.alice.cnptia.embrapa.br/alice/handle/doc/577988 pt_BR por openAccess p. 3883-3889.
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language pt_BR
por
topic Período de molhamento foliar
Milho
Temperatura
Umidade relativa
Período de molhamento foliar
Milho
Temperatura
Umidade relativa
spellingShingle Período de molhamento foliar
Milho
Temperatura
Umidade relativa
Período de molhamento foliar
Milho
Temperatura
Umidade relativa
HAMADA, E.
GHINI, R.
LANA, J. T. de O.
SABATO, E. de O.
Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.
description This study presents an application of the geographical information system technology on plant disease involving a multidisciplinary teamwork of geoprocessing and physiopathology specialists. The spatial analysis tools in a GIS were used to evaluate the spatial distribution of two diseases of maize in Brazil: polysora rusl caused by Puccinia polysora and tropical rust caused by Physopella zeae. A database of cIimate variables (mean temperature. relative humidity. and leaf wetness duration) of cIimatological normal from 1961-1990 was obtained and then related it to a mathematical model of disease development (polysora rust) and to the cIimate intervals (tropical rust) in order to obtain the maps. The choice of the model or the favorable climate interval is the important chalIenge of the method because the difficulty of adequacy to the spatial and temporal scales for the specific application. The major incidence of both disease occurred in almost alI the North region from January to June. although this region has traditionalIy a low production of maize. Considering the biggest producers regions. for both the diseases, favorable areas are located in part of Mato Grosso, Tocanlins. Minas Gerais; Mato Grosso do Sul. and coastal areas of São Paulo, Paraná, and Santa Catarina. varying among the dilferent months from January to June. The method allowed making an adequate distinction of the states and the months considered.
author2 EMILIA HAMADA, CNPMA; RAQUEL GHINI, CNPMA; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIZABETH DE OLIVEIRA SABATO, CNPMS.
author_facet EMILIA HAMADA, CNPMA; RAQUEL GHINI, CNPMA; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIZABETH DE OLIVEIRA SABATO, CNPMS.
HAMADA, E.
GHINI, R.
LANA, J. T. de O.
SABATO, E. de O.
format Separatas
topic_facet Período de molhamento foliar
Milho
Temperatura
Umidade relativa
author HAMADA, E.
GHINI, R.
LANA, J. T. de O.
SABATO, E. de O.
author_sort HAMADA, E.
title Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.
title_short Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.
title_full Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.
title_fullStr Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.
title_full_unstemmed Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.
title_sort aplicação de sistema de informações geográficas na análise espacial de doenças do milho no brasil.
publishDate 2009-12-15
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/577988
work_keys_str_mv AT hamadae aplicacaodesistemadeinformacoesgeograficasnaanaliseespacialdedoencasdomilhonobrasil
AT ghinir aplicacaodesistemadeinformacoesgeograficasnaanaliseespacialdedoencasdomilhonobrasil
AT lanajtdeo aplicacaodesistemadeinformacoesgeograficasnaanaliseespacialdedoencasdomilhonobrasil
AT sabatoedeo aplicacaodesistemadeinformacoesgeograficasnaanaliseespacialdedoencasdomilhonobrasil
_version_ 1756022398631542784