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Registro Completo |
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Biblioteca(s): |
Embrapa Agropecuária Oeste; Embrapa Trigo. |
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Data corrente: |
09/06/1997 |
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Data da última atualização: |
12/03/2008 |
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Autoria: |
SOARES SOBRINHO, J. STAUT, L. A.; SCHEEREN, P. L.; DEL DUCA, L. de J. A. |
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Título: |
Criação de linhagens de trigo para as condições de solos com alumínio tóxico. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
In: REUNIÃO DA COMISSÃO CENTRO-SUL-BRASILEIRA DE PESQUISA DE TRIGO, 9., 1993, Dourados. Resultados de pesquisa com trigo e triticale - 1992. Dourados: EMBRAPA-CPAO, 1995. |
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Páginas: |
p. 13-16. |
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Série: |
(EMBRAPA-CPAO. Documentos, 1). |
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Idioma: |
Português |
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Notas: |
Projeto 004.89.005-9 - Introdução e criação de germoplasma de trigo para solos com e sem alumínio tóxico do Mato Grosso do Sul. |
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Palavras-Chave: |
Aluminium; Control; Insect; Line; Pest. |
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Thesagro: |
Alumínio; Cerrado; Criação; Linhagem; Melhoramento; Solo; Trigo; Triticum Aestivum. |
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Thesaurus Nal: |
breeding; soil; wheat. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01164naa a2200361 a 4500
001 1240217
005 2008-03-12
008 1995 bl uuuu u00u1 u #d
100 1 $aSOARES SOBRINHO, J. STAUT, L. A.
245 $aCriação de linhagens de trigo para as condições de solos com alumínio tóxico.
260 $c1995
300 $ap. 13-16.
490 $a(EMBRAPA-CPAO. Documentos, 1).
500 $aProjeto 004.89.005-9 - Introdução e criação de germoplasma de trigo para solos com e sem alumínio tóxico do Mato Grosso do Sul.
650 $abreeding
650 $asoil
650 $awheat
650 $aAlumínio
650 $aCerrado
650 $aCriação
650 $aLinhagem
650 $aMelhoramento
650 $aSolo
650 $aTrigo
650 $aTriticum Aestivum
653 $aAluminium
653 $aControl
653 $aInsect
653 $aLine
653 $aPest
700 1 $aSCHEEREN, P. L.
700 1 $aDEL DUCA, L. de J. A.
773 $tIn: REUNIÃO DA COMISSÃO CENTRO-SUL-BRASILEIRA DE PESQUISA DE TRIGO, 9., 1993, Dourados. Resultados de pesquisa com trigo e triticale - 1992. Dourados: EMBRAPA-CPAO, 1995.
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Registro original: |
Embrapa Agropecuária Oeste (CPAO) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Roraima. Para informações adicionais entre em contato com cpafrr.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
17/01/2018 |
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Data da última atualização: |
17/01/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
FERRAZ, R. P. D.; SIMÕES, M.; ALVES, A. O.; XAUD, H. A. M. |
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Afiliação: |
RODRIGO PECANHA DEMONTE FERRAZ, CNPS; MARGARETH GONCALVES SIMOES, CNPS; ANDREI OLAK ALVES, UERJ; HARON ABRAHIM MAGALHAES XAUD, CPAF-Roraima. |
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Título: |
Use of remote sensing to assess ecosystem integrity of the Brazilian Amazon rainforest: a Bayesian approach. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 7923-7929. |
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Idioma: |
Inglês |
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Conteúdo: |
Biodiversity supports many ecosystem services that are very important for climate change mitigation and adaptation. There is a functional link between the tropical forest ecosystem biodiversity and their capacity for carbon uptake and storage as well as regulation of evapotranspiration flux. Nevertheless, land use changes and agriculture expansion reduce the ecosystems integrity modifying the functions related directly to the ecosystem services. The relationship between biodiversity loss and the impacts on ecosystem services of tropical forests, in face of the ongoing global climate change needs to be better quantified. In this work, we considered the concept of Ecosystem Integrity (EI), which represents the connection of biodiversity with the ability of ecosystems to sustain the processes of self-organization. Bayesian Networks (BBN-Bayesian Belief Network) can provide metrics for the generation of Ecosystem Integrity Index, from the training of probabilistic relationships of evidence obtained through Remote Sensing data. The objective of this work is to present the methodological approach and the results of EI mapping, elaborated at the regional scale for different patterns of phyto-ecologic landscape of the Brazilian Amazon. The modelling was based on learning from the parameters (data-driven model) through the use of the Expectation Maximization algorithm. For the validation of this probabilistic model, an evaluation was carried out in controlled areas with field observation by experts. Results showed that it is possible to generate an Ecosystem Integrity Index at regional scale using a probabilistic model based on Bayesian Belief Networks (BBN), and totally free web-available satellite products. MenosBiodiversity supports many ecosystem services that are very important for climate change mitigation and adaptation. There is a functional link between the tropical forest ecosystem biodiversity and their capacity for carbon uptake and storage as well as regulation of evapotranspiration flux. Nevertheless, land use changes and agriculture expansion reduce the ecosystems integrity modifying the functions related directly to the ecosystem services. The relationship between biodiversity loss and the impacts on ecosystem services of tropical forests, in face of the ongoing global climate change needs to be better quantified. In this work, we considered the concept of Ecosystem Integrity (EI), which represents the connection of biodiversity with the ability of ecosystems to sustain the processes of self-organization. Bayesian Networks (BBN-Bayesian Belief Network) can provide metrics for the generation of Ecosystem Integrity Index, from the training of probabilistic relationships of evidence obtained through Remote Sensing data. The objective of this work is to present the methodological approach and the results of EI mapping, elaborated at the regional scale for different patterns of phyto-ecologic landscape of the Brazilian Amazon. The modelling was based on learning from the parameters (data-driven model) through the use of the Expectation Maximization algorithm. For the validation of this probabilistic model, an evaluation was carried out in controlled areas with field observa... Mostrar Tudo |
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Palavras-Chave: |
Modelos espaciais; Mudança de uso da terra; Redes Bayesianas. |
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Thesagro: |
Biodiversidade. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02417naa a2200205 a 4500
001 2085623
005 2018-01-17
008 2017 bl --- 0-- u #d
100 1 $aFERRAZ, R. P. D.
245 $aUse of remote sensing to assess ecosystem integrity of the Brazilian Amazon rainforest$ba Bayesian approach.
260 $c2017
520 $aBiodiversity supports many ecosystem services that are very important for climate change mitigation and adaptation. There is a functional link between the tropical forest ecosystem biodiversity and their capacity for carbon uptake and storage as well as regulation of evapotranspiration flux. Nevertheless, land use changes and agriculture expansion reduce the ecosystems integrity modifying the functions related directly to the ecosystem services. The relationship between biodiversity loss and the impacts on ecosystem services of tropical forests, in face of the ongoing global climate change needs to be better quantified. In this work, we considered the concept of Ecosystem Integrity (EI), which represents the connection of biodiversity with the ability of ecosystems to sustain the processes of self-organization. Bayesian Networks (BBN-Bayesian Belief Network) can provide metrics for the generation of Ecosystem Integrity Index, from the training of probabilistic relationships of evidence obtained through Remote Sensing data. The objective of this work is to present the methodological approach and the results of EI mapping, elaborated at the regional scale for different patterns of phyto-ecologic landscape of the Brazilian Amazon. The modelling was based on learning from the parameters (data-driven model) through the use of the Expectation Maximization algorithm. For the validation of this probabilistic model, an evaluation was carried out in controlled areas with field observation by experts. Results showed that it is possible to generate an Ecosystem Integrity Index at regional scale using a probabilistic model based on Bayesian Belief Networks (BBN), and totally free web-available satellite products.
650 $aBiodiversidade
653 $aModelos espaciais
653 $aMudança de uso da terra
653 $aRedes Bayesianas
700 1 $aSIMÕES, M.
700 1 $aALVES, A. O.
700 1 $aXAUD, H. A. M.
773 $tIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 7923-7929.
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Embrapa Roraima (CPAF-RR) |
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