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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
05/02/2004 |
Data da última atualização: |
05/02/2004 |
Autoria: |
LOPES, E. da S.; MACHADO, C. C.; SOUZA, A. P. de; RIBEIRO, C. A. A. S. |
Título: |
Harvesting and wood transport planning with SNAP III program (Scheduling and Network Analysis Program) in a pine plantation in Southeast Brazil. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Revista Árvore, Viçosa, v. 27, n. 6, p. 831-836, nov./dez. 2003. |
Idioma: |
Inglês |
Palavras-Chave: |
SNAP III; SNAP III program; Wood transport. |
Thesagro: |
Colheita; Planejamento; Transporte. |
Thesaurus Nal: |
harvesting; planning. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00741naa a2200241 a 4500 001 1308190 005 2004-02-05 008 2003 bl uuuu u00u1 u #d 100 1 $aLOPES, E. da S. 245 $aHarvesting and wood transport planning with SNAP III program (Scheduling and Network Analysis Program) in a pine plantation in Southeast Brazil. 260 $c2003 650 $aharvesting 650 $aplanning 650 $aColheita 650 $aPlanejamento 650 $aTransporte 653 $aSNAP III 653 $aSNAP III program 653 $aWood transport 700 1 $aMACHADO, C. C. 700 1 $aSOUZA, A. P. de 700 1 $aRIBEIRO, C. A. A. S. 773 $tRevista Árvore, Viçosa$gv. 27, n. 6, p. 831-836, nov./dez. 2003.
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Embrapa Florestas (CNPF) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Milho e Sorgo. |
Data corrente: |
18/05/2009 |
Data da última atualização: |
25/05/2016 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
HAMADA, E.; GHINI, R.; LANA, J. T. de O.; SABATO, E. de O. |
Afiliação: |
EMILIA HAMADA, CNPMA; RAQUEL GHINI, CNPMA; JOSE TADEU DE OLIVEIRA LANA, CNPMA; ELIZABETH DE OLIVEIRA SABATO, CNPMS. |
Título: |
Aplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. |
Páginas: |
p. 3883-3889. |
Idioma: |
Português |
Conteúdo: |
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. |
Palavras-Chave: |
Leaf wetness duration; Período de Molhamento foliar; Relative humidily. |
Thesagro: |
Milho; Temperatura; Umidade Relativa. |
Thesaurus NAL: |
temperature. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/143386/1/2009AA-026.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/60843/1/Aplicacao-sistema.pdf
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Marc: |
LEADER 02229nam a2200241 a 4500 001 1577988 005 2016-05-25 008 2009 bl uuuu u00u1 u #d 100 1 $aHAMADA, E. 245 $aAplicação de Sistema de Informações Geográficas na análise espacial de doenças do milho no Brasil.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE$c2009 300 $ap. 3883-3889. 520 $aThis 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. 650 $atemperature 650 $aMilho 650 $aTemperatura 650 $aUmidade Relativa 653 $aLeaf wetness duration 653 $aPeríodo de Molhamento foliar 653 $aRelative humidily 700 1 $aGHINI, R. 700 1 $aLANA, J. T. de O. 700 1 $aSABATO, E. de O.
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