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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
13/10/2008 |
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Data da última atualização: |
11/04/2024 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
MENDONÇA-SANTOS, M. de L.; SANTOS, H. G. dos; DART, R. de O.; PARES, J. G. |
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Afiliação: |
MARIA DE LOURDES MENDONÇA SANTOS BREFIN, CNPS; HUMBERTO GONCALVES DOS SANTOS, CNPS; RICARDO DE OLIVEIRA DART, CNPS; JERÔNIMO GUEDES PARÉS. |
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Título: |
Digital mapping of soil classes in Rio de Janeiro State, Brazil: data, modelling and prediction. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 34, p. 381-396. |
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DOI: |
https://doi.org/10.1007/978-1-4020-8592-5_34 |
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Idioma: |
Inglês |
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Conteúdo: |
A soil database for Rio de Janeiro State was collated in Access, for a project on quantifying the magnitude, spatial distribution and organic carbon in the soils of Rio de Janeiro State (Projeto Carbono_RJ). The main activities were the search, selection, analysis and review of the data for each soil profile already described in the study area, the georeferencing of each soil profile (when spatial coordinates were not available) and the input of new soil profiles into a new interface. The Rio de Janeiro soil dataset now contains 731 soil profiles, 2744 soil horizons, and 48 soil attributes usually described at the soil survey process. From this soil dataset, only 431 soil profiles that were adequately geo-located have been used in this application. The dataset contains limited data for bulk density and hydraulic soil properties, among others. From this dataset, quantitative modelling and digital soil mapping have been completed experimentally at 90 m resolution, using soil data and predictor variables, such as satellite images, lithology, a prior soil map and a DEM and its derivates. This dataset, which is one of the more complete soil datasets in Brazil, is being used as a testbed for learning and teaching DSM, using a variety of methods based on the scorpan model (Embrapa, 2006). In the first instance, the soil dataset was used to predict soil classes at the Order level of the Brazilian Soil Classification System ? SiBCS (Embrapa, 2006). Five models were built and their results were compared and mapped. MenosA soil database for Rio de Janeiro State was collated in Access, for a project on quantifying the magnitude, spatial distribution and organic carbon in the soils of Rio de Janeiro State (Projeto Carbono_RJ). The main activities were the search, selection, analysis and review of the data for each soil profile already described in the study area, the georeferencing of each soil profile (when spatial coordinates were not available) and the input of new soil profiles into a new interface. The Rio de Janeiro soil dataset now contains 731 soil profiles, 2744 soil horizons, and 48 soil attributes usually described at the soil survey process. From this soil dataset, only 431 soil profiles that were adequately geo-located have been used in this application. The dataset contains limited data for bulk density and hydraulic soil properties, among others. From this dataset, quantitative modelling and digital soil mapping have been completed experimentally at 90 m resolution, using soil data and predictor variables, such as satellite images, lithology, a prior soil map and a DEM and its derivates. This dataset, which is one of the more complete soil datasets in Brazil, is being used as a testbed for learning and teaching DSM, using a variety of methods based on the scorpan model (Embrapa, 2006). In the first instance, the soil dataset was used to predict soil classes at the Order level of the Brazilian Soil Classification System ? SiBCS (Embrapa, 2006). Five models were built and their re... Mostrar Tudo |
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Palavras-Chave: |
Brasil; Mapeamento digital; Rio de Janeiro. |
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Thesagro: |
Solo. |
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Thesaurus Nal: |
Soil map. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02339naa a2200229 a 4500
001 1337609
005 2024-04-11
008 2008 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/978-1-4020-8592-5_34$2DOI
100 1 $aMENDONÇA-SANTOS, M. de L.
245 $aDigital mapping of soil classes in Rio de Janeiro State, Brazil$bdata, modelling and prediction.$h[electronic resource]
260 $c2008
520 $aA soil database for Rio de Janeiro State was collated in Access, for a project on quantifying the magnitude, spatial distribution and organic carbon in the soils of Rio de Janeiro State (Projeto Carbono_RJ). The main activities were the search, selection, analysis and review of the data for each soil profile already described in the study area, the georeferencing of each soil profile (when spatial coordinates were not available) and the input of new soil profiles into a new interface. The Rio de Janeiro soil dataset now contains 731 soil profiles, 2744 soil horizons, and 48 soil attributes usually described at the soil survey process. From this soil dataset, only 431 soil profiles that were adequately geo-located have been used in this application. The dataset contains limited data for bulk density and hydraulic soil properties, among others. From this dataset, quantitative modelling and digital soil mapping have been completed experimentally at 90 m resolution, using soil data and predictor variables, such as satellite images, lithology, a prior soil map and a DEM and its derivates. This dataset, which is one of the more complete soil datasets in Brazil, is being used as a testbed for learning and teaching DSM, using a variety of methods based on the scorpan model (Embrapa, 2006). In the first instance, the soil dataset was used to predict soil classes at the Order level of the Brazilian Soil Classification System ? SiBCS (Embrapa, 2006). Five models were built and their results were compared and mapped.
650 $aSoil map
650 $aSolo
653 $aBrasil
653 $aMapeamento digital
653 $aRio de Janeiro
700 1 $aSANTOS, H. G. dos
700 1 $aDART, R. de O.
700 1 $aPARES, J. G.
773 $tIn: HARTEMINK, A. E.; McBRATNEY, A.; MENDONÇA-SANTOS, M. de L. (ed.). Digital soil mapping with limited data. Dordrecht: Springer, 2008. cap. 34, p. 381-396.
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Registro original: |
Embrapa Solos (CNPS) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
07/12/1993 |
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Data da última atualização: |
04/05/2023 |
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Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
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Autoria: |
CARDOSO, J. E.; MESQUITA, J. E. de L. |
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Afiliação: |
JOSE EMILSON CARDOSO, CPAF-AC; JOSÉ EYMARD DE LIMA MESQUITA, CPAF-AC. |
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Título: |
Ocorrência da mela do feijoeiro em germoplasmas de caupi no Acre. |
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Ano de publicação: |
1981 |
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Fonte/Imprenta: |
Rio Branco, AC: Embrapa-UEPAE Rio Branco, 1981. |
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Páginas: |
3 p. |
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Série: |
(Embrapa-UEPAE Rio Branco. Comunicado técnico, 24). |
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Idioma: |
Português |
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Conteúdo: |
Como o caupi tem potencial mais do que suficiente de substituir o feijão-comum, sob a ótica de consumo e também de produção, trabalhos de pesquisa com esta leguminosa estão sendo desenvolvidos, objetivando colher informações sobre o comportamento agronômico da cultura nas condições edafoclimáticas do Estado. |
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Palavras-Chave: |
Aclimatación; Acre; Amazonia Occidental; Amazônia Ocidental; Bean; Caupi; Enfermedades fungales de las plantas; Factores ambientales; Marchitez; Plant diseases; Tanatephorus cucumeris; Weblight; Western Amazon. |
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Thesagro: |
Aclimatação; Condição ambiental; Doença; Doença de Planta; Doença fúngica; Feijão; Feijão de Corda; Fungo; Germoplasma; Mela; Murcha da Teia Micélica; Phaseolus Vulgaris; Thanatephorus Cucumeris; Variedade resistente; Vigna Unguiculata. |
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Thesaurus NAL: |
Acclimation; cowpeas; Environmental factors; Fungal diseases of plants; fungi; germplasm. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal
H Saúde e Patologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/165548/1/1050.pdf
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Marc: |
LEADER 01826nam a2200553 a 4500
001 1492311
005 2023-05-04
008 1981 bl uuuu u0uu1 u #d
100 1 $aCARDOSO, J. E.
245 $aOcorrência da mela do feijoeiro em germoplasmas de caupi no Acre.
260 $aRio Branco, AC: Embrapa-UEPAE Rio Branco$c1981
300 $a3 p.
490 $a(Embrapa-UEPAE Rio Branco. Comunicado técnico, 24).
520 $aComo o caupi tem potencial mais do que suficiente de substituir o feijão-comum, sob a ótica de consumo e também de produção, trabalhos de pesquisa com esta leguminosa estão sendo desenvolvidos, objetivando colher informações sobre o comportamento agronômico da cultura nas condições edafoclimáticas do Estado.
650 $aAcclimation
650 $acowpeas
650 $aEnvironmental factors
650 $aFungal diseases of plants
650 $afungi
650 $agermplasm
650 $aAclimatação
650 $aCondição ambiental
650 $aDoença
650 $aDoença de Planta
650 $aDoença fúngica
650 $aFeijão
650 $aFeijão de Corda
650 $aFungo
650 $aGermoplasma
650 $aMela
650 $aMurcha da Teia Micélica
650 $aPhaseolus Vulgaris
650 $aThanatephorus Cucumeris
650 $aVariedade resistente
650 $aVigna Unguiculata
653 $aAclimatación
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aBean
653 $aCaupi
653 $aEnfermedades fungales de las plantas
653 $aFactores ambientales
653 $aMarchitez
653 $aPlant diseases
653 $aTanatephorus cucumeris
653 $aWeblight
653 $aWestern Amazon
700 1 $aMESQUITA, J. E. de L.
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Embrapa Acre (CPAF-AC) |
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Cutter |
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