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Registro Completo |
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
09/08/2011 |
Data da última atualização: |
09/08/2011 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
HEINEMANN, A. B.; FERNANDES, D. S.; SILVA, S. C. da; MORAES, A. da C.; SANTOS, A. P. dos. |
Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; DIEGO SIMÕES FERNANDES; SILVANDO CARLOS DA SILVA, CNPAF; ALESSANDRA DA CUNHA MORAES, CNPAF; AURÉLIO P. DOS SANTOS, estagiário CNPAF. |
Título: |
Evaluation of estimated radiation solar data for using in APSIM/ORYZA crop model. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper, 2011. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Inglês |
Conteúdo: |
Crop model application for upland rice at Centro Oeste region is limited due to lack of daily solar global radiation set data. Therefore, five different solar radiation models proposed by Bristow & Campbell (BC), Hargreaves (HG), Donatelli & Campbell (CD), Donatalli & Bellocchi (DB) and Donatelli et al. (modular mode DCBB) were calibrated with the objective to identify and quantify the errors of simulated Rs on the upland rice yield, biomass and leaf area simulated by crop model ORYZA/APSIM. Based on the results obtained in this study it is possible to conclude that simulated upland rice yield is the most sensitive variable for using estimated global solar radiation. The empirical solar radiation models that showed better performances for crop model using were CD, DB and BC |
Palavras-Chave: |
Simulação do crescimento. |
Thesagro: |
Arroz; Modelo de Simulação; Oryza sativa; Produtividade; Radiação solar. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39477/1/cba01.pdf
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Marc: |
LEADER 01574nam a2200241 a 4500 001 1897605 005 2011-08-09 008 2011 bl uuuu u00u1 u #d 100 1 $aHEINEMANN, A. B. 245 $aEvaluation of estimated radiation solar data for using in APSIM/ORYZA crop model. 260 $aIn: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 17., 2011, Guarapari. Riscos climáticos e cenários agrícolas futuros: anais. Guarapari: Incaper$c2011 300 $c1 CD-ROM. 520 $aCrop model application for upland rice at Centro Oeste region is limited due to lack of daily solar global radiation set data. Therefore, five different solar radiation models proposed by Bristow & Campbell (BC), Hargreaves (HG), Donatelli & Campbell (CD), Donatalli & Bellocchi (DB) and Donatelli et al. (modular mode DCBB) were calibrated with the objective to identify and quantify the errors of simulated Rs on the upland rice yield, biomass and leaf area simulated by crop model ORYZA/APSIM. Based on the results obtained in this study it is possible to conclude that simulated upland rice yield is the most sensitive variable for using estimated global solar radiation. The empirical solar radiation models that showed better performances for crop model using were CD, DB and BC 650 $aArroz 650 $aModelo de Simulação 650 $aOryza sativa 650 $aProdutividade 650 $aRadiação solar 653 $aSimulação do crescimento 700 1 $aFERNANDES, D. S. 700 1 $aSILVA, S. C. da 700 1 $aMORAES, A. da C. 700 1 $aSANTOS, A. P. dos
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Embrapa Arroz e Feijão (CNPAF) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
19/11/2014 |
Data da última atualização: |
04/12/2014 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
VARON-LOPEZ, M.; DIAS, A. C. F.; FASANELLA, C. C.; DURRER, A.; MELO, I. S. de; KURAMAE, E. E.; ANDREOTE, F. D. |
Afiliação: |
MARYEIMY VARON-LOPEZ, ESALQ-USP; ARMANDO CAVALCANTE FRANCO DIAS, ESALQ-USP; CRISTIANE CIPOLLA FASANELLA, ESALQ-USP; ADEMIR DURRER, ESALQ-USP; ITAMAR SOARES DE MELO, CNPMA; EIKO EURYA KURAMAE, Netherlands Institute of Ecology; FERNANDO DINI ANDREOTE. |
Título: |
Sulphur-oxidizing and sulphate-reducing communities in Brazilian mangrove sediments. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Environmental Microbiology, Oxford, v. 16, n. 3, p. 845-855, 2014. |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Mangrove soils are anaerobic environments rich in sulphate and organic matter. Although the sulphur cycle is one of the major actors in this ecosystem, little is known regarding the sulphur bacteria communities in mangrove soils. We investigated the abundance, composition and diversity of sulphur-oxidizing (SOB) and sulphate-reducing (SRB) bacteria in sediments from three Brazilian mangrove communities: two contaminated, one with oil (OilMgv) and one with urban waste and sludge (AntMgv), and one pristine (PrsMgv). The community structures were assessed using quantitative real-time polymerase chain reaction (qPCR), polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and clone libraries, using genes for the enzymes adenosine-5'-phosphosulphate reductase (aprA) and sulphite reductase (Dsr) (dsrB). The abundance for qPCR showed the ratio dsrB/aprA to be variable among mangroves and higher according to the gradient observed for oil contamination in the OilMgv. The PCR-DGGE patterns analysed by Nonmetric Multidimensional Scaling revealed differences among the structures of the three mangrove communities. The clone libraries showed that Betaproteobacteria, Gammaproteobacteria and Deltaproteobacteria were the most abundant groups associated with sulphur cycling in mangrove sediments. We conclude that the microbial SOB and SRB communities in mangrove soils are different in each mangrove forest and that such microbial communities could possibly be used as a proxy for contamination in mangrove forests. MenosAbstract: Mangrove soils are anaerobic environments rich in sulphate and organic matter. Although the sulphur cycle is one of the major actors in this ecosystem, little is known regarding the sulphur bacteria communities in mangrove soils. We investigated the abundance, composition and diversity of sulphur-oxidizing (SOB) and sulphate-reducing (SRB) bacteria in sediments from three Brazilian mangrove communities: two contaminated, one with oil (OilMgv) and one with urban waste and sludge (AntMgv), and one pristine (PrsMgv). The community structures were assessed using quantitative real-time polymerase chain reaction (qPCR), polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and clone libraries, using genes for the enzymes adenosine-5'-phosphosulphate reductase (aprA) and sulphite reductase (Dsr) (dsrB). The abundance for qPCR showed the ratio dsrB/aprA to be variable among mangroves and higher according to the gradient observed for oil contamination in the OilMgv. The PCR-DGGE patterns analysed by Nonmetric Multidimensional Scaling revealed differences among the structures of the three mangrove communities. The clone libraries showed that Betaproteobacteria, Gammaproteobacteria and Deltaproteobacteria were the most abundant groups associated with sulphur cycling in mangrove sediments. We conclude that the microbial SOB and SRB communities in mangrove soils are different in each mangrove forest and that such microbial communities could possibly be us... Mostrar Tudo |
Thesagro: |
Bactéria; Enxofre; Mangue; Sulfato. |
Thesaurus NAL: |
Mangrove soils; Metabolism; Polluted soils; Sulfate-reducing bacteria; Sulfur. |
Categoria do assunto: |
S Ciências Biológicas |
Marc: |
LEADER 02386naa a2200301 a 4500 001 2000536 005 2014-12-04 008 2014 bl uuuu u00u1 u #d 100 1 $aVARON-LOPEZ, M. 245 $aSulphur-oxidizing and sulphate-reducing communities in Brazilian mangrove sediments.$h[electronic resource] 260 $c2014 520 $aAbstract: Mangrove soils are anaerobic environments rich in sulphate and organic matter. Although the sulphur cycle is one of the major actors in this ecosystem, little is known regarding the sulphur bacteria communities in mangrove soils. We investigated the abundance, composition and diversity of sulphur-oxidizing (SOB) and sulphate-reducing (SRB) bacteria in sediments from three Brazilian mangrove communities: two contaminated, one with oil (OilMgv) and one with urban waste and sludge (AntMgv), and one pristine (PrsMgv). The community structures were assessed using quantitative real-time polymerase chain reaction (qPCR), polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and clone libraries, using genes for the enzymes adenosine-5'-phosphosulphate reductase (aprA) and sulphite reductase (Dsr) (dsrB). The abundance for qPCR showed the ratio dsrB/aprA to be variable among mangroves and higher according to the gradient observed for oil contamination in the OilMgv. The PCR-DGGE patterns analysed by Nonmetric Multidimensional Scaling revealed differences among the structures of the three mangrove communities. The clone libraries showed that Betaproteobacteria, Gammaproteobacteria and Deltaproteobacteria were the most abundant groups associated with sulphur cycling in mangrove sediments. We conclude that the microbial SOB and SRB communities in mangrove soils are different in each mangrove forest and that such microbial communities could possibly be used as a proxy for contamination in mangrove forests. 650 $aMangrove soils 650 $aMetabolism 650 $aPolluted soils 650 $aSulfate-reducing bacteria 650 $aSulfur 650 $aBactéria 650 $aEnxofre 650 $aMangue 650 $aSulfato 700 1 $aDIAS, A. C. F. 700 1 $aFASANELLA, C. C. 700 1 $aDURRER, A. 700 1 $aMELO, I. S. de 700 1 $aKURAMAE, E. E. 700 1 $aANDREOTE, F. D. 773 $tEnvironmental Microbiology, Oxford$gv. 16, n. 3, p. 845-855, 2014.
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