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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
21/12/2017 |
Data da última atualização: |
21/12/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CARVALHO, J. R. P. de; MONTEIRO, J. E. B. de A.; NAKAI, A. M.; ASSAD, E. D. |
Afiliação: |
JOSE RUY PORTO DE CARVALHO, CNPTIA; JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPTIA; ALAN MASSARU NAKAI, CNPTIA; EDUARDO DELGADO ASSAD, CNPTIA. |
Título: |
Model for multiple imputation to estimate daily rainfall data and filling of faults. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Revista Brasileira de Meteorologia, São Paulo, v. 32, n. 4, 575-583, Oct./Dec. 2017. |
DOI: |
http://dx.doi.org/10.1590/0102-7786324006 |
Idioma: |
Inglês |
Notas: |
Na publicação: José Eduardo Boffinho Almeida Monteiro. |
Conteúdo: |
Modeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications. In this study the model for multiple imputation was used to estimate daily rainfall data. Daily precipitation records from several meteorological stations were used, obtained from system AGRITEMPO for two homogenous climatic zones. The precipitation values obtained for two dates (Jan. 20th 2005 and May 2nd 2005) using the multiple imputation model were compared with geo-statistics techniques ordinary Kriging and Co-kriging with the altitude as an auxiliary variable. The multiple imputation model was 16% better for the first zone and over 23% for the second one, compared to the rainfall estimation obtained by geo-statistical techniques. The model proved to be a versatile technique, presenting coherent results with the conditions of different zones and times. |
Palavras-Chave: |
Geoestatística; Homogeneous zones; Missing data; Model by multiple imputation; Modelagem por imputação múltipla; Ordinary Co-kriging; Ordinary kriging; Precipitação; Precipitation; Sistema Agritempo; Statistical inference. |
Thesaurus Nal: |
Geostatistics; Meteorological data. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169478/1/AP-Model-rbmet.pdf
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Marc: |
LEADER 02047naa a2200337 a 4500 001 2083153 005 2017-12-21 008 2017 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.1590/0102-7786324006$2DOI 100 1 $aCARVALHO, J. R. P. de 245 $aModel for multiple imputation to estimate daily rainfall data and filling of faults.$h[electronic resource] 260 $c2017 500 $aNa publicação: José Eduardo Boffinho Almeida Monteiro. 520 $aModeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications. In this study the model for multiple imputation was used to estimate daily rainfall data. Daily precipitation records from several meteorological stations were used, obtained from system AGRITEMPO for two homogenous climatic zones. The precipitation values obtained for two dates (Jan. 20th 2005 and May 2nd 2005) using the multiple imputation model were compared with geo-statistics techniques ordinary Kriging and Co-kriging with the altitude as an auxiliary variable. The multiple imputation model was 16% better for the first zone and over 23% for the second one, compared to the rainfall estimation obtained by geo-statistical techniques. The model proved to be a versatile technique, presenting coherent results with the conditions of different zones and times. 650 $aGeostatistics 650 $aMeteorological data 653 $aGeoestatística 653 $aHomogeneous zones 653 $aMissing data 653 $aModel by multiple imputation 653 $aModelagem por imputação múltipla 653 $aOrdinary Co-kriging 653 $aOrdinary kriging 653 $aPrecipitação 653 $aPrecipitation 653 $aSistema Agritempo 653 $aStatistical inference 700 1 $aMONTEIRO, J. E. B. de A. 700 1 $aNAKAI, A. M. 700 1 $aASSAD, E. D. 773 $tRevista Brasileira de Meteorologia, São Paulo$gv. 32, n. 4, 575-583, Oct./Dec. 2017.
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Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
06/04/2004 |
Data da última atualização: |
27/07/2007 |
Autoria: |
NUNES JUNIOR, J.; GUERZONI, R. S.; SOUSA, R. P.; MONTEIRO, P. M. F. O.; SILVA, L. H. C. P.; ASSUNÇÃO, M. S.; SEII, A. H.; NUNES SOBRINHO, J. B.; SILVA, L. O.; TOLEDO, R. M. C. P.; SOUZA, P. I. M.; MOREIRA, C. T.; ABUD, S. |
Título: |
Evolution of soybean rust (Phakopsora pachyrhizi) on the states of Goiás, Federal District and Tocantins, and reaction evaluation on lines and soybean cultivars. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
In: WORLD SOYBEAN RESEARCH CONFERENCE, 7.; INTERNATIONAL SOYBEAN PROCESSING AND UTILIZATION CONFERENCE, 4.; CONGRESSO BRASILEIRO DE SOJA, 3., 2004, Foz do Iguassu. Abstracts of contributed papers and posters. Londrina: Embrapa Soybean, 2004. |
Páginas: |
p. 88 |
Série: |
(Embrapa Soja. Documentos, 228). |
Idioma: |
Inglês |
Notas: |
Editado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi. |
Conteúdo: |
Soybean rust caused by Phakopsora pachyrhizi is one of the most important diseases in the world, being identified by the first time in Brazil in may/2001 at Paraná state. Since its occurrence in Paraná, soybean rust has spread very fast to other states of Brazil. During 2001/2002 summer crop, soybean rust was not identified at Federal District and Tocantins state, but it was identified at five counties at Goiás state. During 2002/2003 summer crop, soybean rust was identified at Federal District, Tocantins and in more than fifty counties of Goiás state. During 2003 winter crop Phakopsora pachyrhizi was identified at Formoso do Araguaia area (Tocantins state) in soybean fields irrigated by water table elevation, and at Goiás, Mato Grosso and Maranhão state under fields irrigated by central pivot. From 501 soybean cultivars and 2023 lines evaluated for resistance to Phakopsora pachyrhizi, none showed resistance to this fungus, but differences in severity were observed among lines and cultivars. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02292naa a2200301 a 4500 001 1466762 005 2007-07-27 008 2004 bl uuuu u00u1 u #d 100 1 $aNUNES JUNIOR, J. 245 $aEvolution of soybean rust (Phakopsora pachyrhizi) on the states of Goiás, Federal District and Tocantins, and reaction evaluation on lines and soybean cultivars. 260 $c2004 300 $ap. 88 490 $a(Embrapa Soja. Documentos, 228). 500 $aEditado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi. 520 $aSoybean rust caused by Phakopsora pachyrhizi is one of the most important diseases in the world, being identified by the first time in Brazil in may/2001 at Paraná state. Since its occurrence in Paraná, soybean rust has spread very fast to other states of Brazil. During 2001/2002 summer crop, soybean rust was not identified at Federal District and Tocantins state, but it was identified at five counties at Goiás state. During 2002/2003 summer crop, soybean rust was identified at Federal District, Tocantins and in more than fifty counties of Goiás state. During 2003 winter crop Phakopsora pachyrhizi was identified at Formoso do Araguaia area (Tocantins state) in soybean fields irrigated by water table elevation, and at Goiás, Mato Grosso and Maranhão state under fields irrigated by central pivot. From 501 soybean cultivars and 2023 lines evaluated for resistance to Phakopsora pachyrhizi, none showed resistance to this fungus, but differences in severity were observed among lines and cultivars. 700 1 $aGUERZONI, R. S. 700 1 $aSOUSA, R. P. 700 1 $aMONTEIRO, P. M. F. O. 700 1 $aSILVA, L. H. C. P. 700 1 $aASSUNÇÃO, M. S. 700 1 $aSEII, A. H. 700 1 $aNUNES SOBRINHO, J. B. 700 1 $aSILVA, L. O. 700 1 $aTOLEDO, R. M. C. P. 700 1 $aSOUZA, P. I. M. 700 1 $aMOREIRA, C. T. 700 1 $aABUD, S. 773 $tIn: WORLD SOYBEAN RESEARCH CONFERENCE, 7.; INTERNATIONAL SOYBEAN PROCESSING AND UTILIZATION CONFERENCE, 4.; CONGRESSO BRASILEIRO DE SOJA, 3., 2004, Foz do Iguassu. Abstracts of contributed papers and posters. Londrina: Embrapa Soybean, 2004.
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