Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/491970
Research center of Embrapa/Collection: Embrapa Milho e Sorgo - Artigo em anais de congresso (ALICE)
Date Issued: 2009
Type of Material: Artigo em anais de congresso (ALICE)
Authors: HAMADA, E.
GHINI, R.
LANA, J. T. de O.
SABATO, E. de O.
Additional Information: EMILIA HAMADA, CNPMA; RAQUEL GHINI, CNPMA; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIZABETH DE OLIVEIRA SABATO, CNPMS.
Title: Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.
Publisher: In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009.
Pages: p. 3883-3889.
Language: pt_BR
Keywords: Relative humidily
Leaf wetness duration
Período de Molhamento foliar.
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.
Thesagro: Temperatura
Umidade Relativa.
NAL Thesaurus: temperature.
Data Created: 2009-05-18
Appears in Collections:Artigo em anais de congresso (CNPMS)

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