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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Norte / UEP-Parnaíba. |
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Data corrente: |
03/06/1998 |
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Data da última atualização: |
10/05/2012 |
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Autoria: |
PORTO, M. C. M.; HAMERS, P. |
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Título: |
Ataque simulado do mandarova (Erinnyis ello L.) em mandioca (Manihot esculenta Crantz) cultivada em fileiras simples e duplas. I.Rendimento e componentes do rendimento. |
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Ano de publicação: |
1987 |
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Fonte/Imprenta: |
Revista Brasileira de Mandioca, v.6, n.2, p.7-16, 1987. |
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Idioma: |
Português |
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Conteúdo: |
Plantas de mandioca, de cultivar preta, cultivadas em fileiras e duplas, foram totalmente desfolhadas aos 2, 4, 6, 8 e 10 meses de ciclo, sob condições de campo. Resultados, obtidos aos 12 meses, indicam que maiores reduções no rendimento de raizes foram verificadas qundo o dano ocorreu entre o 4 e o 8 mes apos o plantio, sendo o peso medio de raiz o componente que mais influenciou o rendimento. O peso da parte aerea foi menos afetado pela desfolha, dependendo, principalmente, do peso por unidade de haste. O sistema de fileiras simples proporcionou uma maior produção de raízes do que o de fileiras duplas. A recuperação das plantas, em ambos os sistemas, dependeu das chuvas ocorridas antes e depois das desfolhas. |
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Palavras-Chave: |
Artificial defoliation; Dano simulado; Desfolhamento; Pest. |
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Thesagro: |
Mandarová; Mandioca; Manihot Esculenta; Praga. |
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Thesaurus Nal: |
cassava. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01458naa a2200241 a 4500
001 1079303
005 2012-05-10
008 1987 bl --- 0-- u #d
100 1 $aPORTO, M. C. M.
245 $aAtaque simulado do mandarova (Erinnyis ello L.) em mandioca (Manihot esculenta Crantz) cultivada em fileiras simples e duplas. I.Rendimento e componentes do rendimento.
260 $c1987
520 $aPlantas de mandioca, de cultivar preta, cultivadas em fileiras e duplas, foram totalmente desfolhadas aos 2, 4, 6, 8 e 10 meses de ciclo, sob condições de campo. Resultados, obtidos aos 12 meses, indicam que maiores reduções no rendimento de raizes foram verificadas qundo o dano ocorreu entre o 4 e o 8 mes apos o plantio, sendo o peso medio de raiz o componente que mais influenciou o rendimento. O peso da parte aerea foi menos afetado pela desfolha, dependendo, principalmente, do peso por unidade de haste. O sistema de fileiras simples proporcionou uma maior produção de raízes do que o de fileiras duplas. A recuperação das plantas, em ambos os sistemas, dependeu das chuvas ocorridas antes e depois das desfolhas.
650 $acassava
650 $aMandarová
650 $aMandioca
650 $aManihot Esculenta
650 $aPraga
653 $aArtificial defoliation
653 $aDano simulado
653 $aDesfolhamento
653 $aPest
700 1 $aHAMERS, P.
773 $tRevista Brasileira de Mandioca$gv.6, n.2, p.7-16, 1987.
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Registro original: |
Embrapa Meio Norte / UEP-Parnaíba (CPAMN-UEPP) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
28/08/2017 |
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Data da última atualização: |
11/11/2021 |
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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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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163066/1/2017-017.pdf
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Marc: |
LEADER 02425nam a2200193 a 4500
001 2074521
005 2021-11-11
008 2017 bl uuuu u00u1 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.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 7923-7929.$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.
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