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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
18/09/2008 |
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Data da última atualização: |
18/09/2008 |
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Autoria: |
CLUZEAU, D.; PÉRES, G.; CANNAVACCIUOLO, M.; BELLIDO, A.; GUERNION, M. RUIZ, N.; CORTET, J.; MATEILLE, T.; MARTIN-LAURENT, F.; VELASQUEZ, E.; MERCIER, V.; BISPO, A.; VILLENAVE, C.; RANJARD, L.; CHAUSSOD, R.; ROUGÉ, l.; JOLIVET, C.; LERMERCIER-FOUCAULT, B.; PONGE, J. F. |
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Título: |
How to manage and analyse a large biodiversity data set: the case of the regional "RMQS BioDiv" experience ? |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM. |
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Idioma: |
Inglês |
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Conteúdo: |
?RMQS BioDiv? is a pilot program which values biological components of Armorican soils
(Brittany region, France). Several biological groups, such as all macro-invertebrates,
earthworms, acari, collembola, nematodes, microflora, and also some activity index are
studied. This program is linked to the national French Soil Quality Measurement Network
(classical RMQS) and both generate a large data set according to an important grid sampling
scheme (1 site each 16 km). In this context, a data analysis strategy must be developed in
order to highlight the indicative value of structural and functional soil biodiversity and its
relationship with environmental variables. To reach this aim, an analytical methodology for
data treatment was constructed following a hierarchical scheme composed of successive
steps. In a first step, the data set of each biological group was analysed independently by
the means of descriptive and exploratory statistics. In a second step, global analyses were
conducted on the whole soil biological dataset. These analyses included correlations between
taxa, descriptors of biological diversity, community pattern descriptions and multivariate
analyses. In a third step, environmental factors, which could influence soil biota variability
(distribution/heterogeneity), were integrated into the analysis. Potential explicative variables
within pedological characteristics, physical and chemical properties, land use and
management practices were assessed to explain the community structures. For that, landscape,
environmental and agronomical typologies of the sampled sites were first performed.
Then, the relationships between soil biological components and potential explicative variables
were investigated by using multivariate and multitable approaches. Furthermore, the spatial
variability analysis was ensured by the grid sampling scheme, thus informed whether soil
biodiversity displayed spatial patterns at the regional scale and how these patterns were
related to the site characteristics. Finally, the relevance of this analytical approach and the
results will be discussed with respect to ENVASSO recommendations (data analysis, results
representation ?). Menos?RMQS BioDiv? is a pilot program which values biological components of Armorican soils
(Brittany region, France). Several biological groups, such as all macro-invertebrates,
earthworms, acari, collembola, nematodes, microflora, and also some activity index are
studied. This program is linked to the national French Soil Quality Measurement Network
(classical RMQS) and both generate a large data set according to an important grid sampling
scheme (1 site each 16 km). In this context, a data analysis strategy must be developed in
order to highlight the indicative value of structural and functional soil biodiversity and its
relationship with environmental variables. To reach this aim, an analytical methodology for
data treatment was constructed following a hierarchical scheme composed of successive
steps. In a first step, the data set of each biological group was analysed independently by
the means of descriptive and exploratory statistics. In a second step, global analyses were
conducted on the whole soil biological dataset. These analyses included correlations between
taxa, descriptors of biological diversity, community pattern descriptions and multivariate
analyses. In a third step, environmental factors, which could influence soil biota variability
(distribution/heterogeneity), were integrated into the analysis. Potential explicative variables
within pedological characteristics, physical and chemical properties, land use and
management practices were assessed to explain the c... Mostrar Tudo |
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Categoria do assunto: |
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Marc: |
LEADER 03355naa a2200325 a 4500
001 1314865
005 2008-09-18
008 2008 bl uuuu u00u1 u #d
100 1 $aCLUZEAU, D.
245 $aHow to manage and analyse a large biodiversity data set$bthe case of the regional "RMQS BioDiv" experience ?
260 $c2008
520 $a?RMQS BioDiv? is a pilot program which values biological components of Armorican soils (Brittany region, France). Several biological groups, such as all macro-invertebrates, earthworms, acari, collembola, nematodes, microflora, and also some activity index are studied. This program is linked to the national French Soil Quality Measurement Network (classical RMQS) and both generate a large data set according to an important grid sampling scheme (1 site each 16 km). In this context, a data analysis strategy must be developed in order to highlight the indicative value of structural and functional soil biodiversity and its relationship with environmental variables. To reach this aim, an analytical methodology for data treatment was constructed following a hierarchical scheme composed of successive steps. In a first step, the data set of each biological group was analysed independently by the means of descriptive and exploratory statistics. In a second step, global analyses were conducted on the whole soil biological dataset. These analyses included correlations between taxa, descriptors of biological diversity, community pattern descriptions and multivariate analyses. In a third step, environmental factors, which could influence soil biota variability (distribution/heterogeneity), were integrated into the analysis. Potential explicative variables within pedological characteristics, physical and chemical properties, land use and management practices were assessed to explain the community structures. For that, landscape, environmental and agronomical typologies of the sampled sites were first performed. Then, the relationships between soil biological components and potential explicative variables were investigated by using multivariate and multitable approaches. Furthermore, the spatial variability analysis was ensured by the grid sampling scheme, thus informed whether soil biodiversity displayed spatial patterns at the regional scale and how these patterns were related to the site characteristics. Finally, the relevance of this analytical approach and the results will be discussed with respect to ENVASSO recommendations (data analysis, results representation ?).
700 1 $aPÉRES, G.
700 1 $aCANNAVACCIUOLO, M.
700 1 $aBELLIDO, A.
700 1 $aGUERNION, M. RUIZ, N.
700 1 $aCORTET, J.
700 1 $aMATEILLE, T.
700 1 $aMARTIN-LAURENT, F.
700 1 $aVELASQUEZ, E.
700 1 $aMERCIER, V.
700 1 $aBISPO, A.
700 1 $aVILLENAVE, C.
700 1 $aRANJARD, L.
700 1 $aCHAUSSOD, R.
700 1 $aROUGÉ, l.
700 1 $aJOLIVET, C.
700 1 $aLERMERCIER-FOUCAULT, B.
700 1 $aPONGE, J. F.
773 $tIn: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
04/12/2017 |
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Data da última atualização: |
04/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
FONGARO, G.; GARCÍA-GONZALEZ, M. C.; HERNANDEZ, M.; KUNZ, A.; BARARDI, C. R. M.; RODRIGUEZ-LÁZARO, D. |
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Afiliação: |
GISLAINE FONGARO, UFSC; MARIA C. GARCÍA-GONZALEZ, Instituto Tecnológico Agrario de Castilla y León; MARTA HERNANDEZ, Universidad de Valladolid, Palencia; AIRTON KUNZ, CNPSA; CÉLIA REGINA M. BARARDI, UFSC; DAVID RODRIGUEZ-LÁZARO, Universidad de Burgos. |
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Título: |
Different behavior of enteric bacteria and viruses in cay and sandy soils after biofertilization with swine digestate. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Frontiers in Microbiology, v. 8, p. 1-9, 2017. |
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DOI: |
10.3389/fmicb.2017.00074 |
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Idioma: |
Inglês |
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Conteúdo: |
Enteric pathogens from biofertilizer can accumulate in the soil, subsequently contaminating water and crops. We evaluated the survival, percolation and leaching of model enteric pathogens in clay and sandy soils after biofertilization with swine digestate: PhiX-174, mengovirus (vMC0), Salmonella enterica Typhimurium and Escherichia coli O157:H7 were used as biomarkers. The survival of vMC0 and PhiX-174 in clay soil was significantly lower than in sandy soil (??T90 values of 10.520 ± 0.600 vs. 21.270 ± 1.100 and 12.040 ± 0.010 vs. 43.470 ± 1.300, respectively) and PhiX- 174 showed faster percolation and leaching in sandy soil than clay soil (??T90 values of 0.46 and 2.43, respectively). S. enterica Typhimurium was percolated and inactivated more slowly than E. coli O157:H7 (??T90 values of 9.340 ± 0.200 vs. 6.620 ± 0.500 and 11.900 ± 0.900 vs. 10.750 ± 0.900 in clay and sandy soils, respectively), such that E. coli O157:H7 was transferred more quickly to the deeper layers of both soils evaluated (percolation). Our findings suggest that E. coli O157:H7 may serve as a useful microbial biomarker of depth contamination and leaching in clay and sandy soil and that bacteriophage could be used as an indicator of enteric pathogen persistence. Our study contributes to development of predictive models for enteric pathogen behavior in soils, and for potential water and food contamination associated with biofertilization, useful for risk management and mitigation in swine digestate recycling MenosEnteric pathogens from biofertilizer can accumulate in the soil, subsequently contaminating water and crops. We evaluated the survival, percolation and leaching of model enteric pathogens in clay and sandy soils after biofertilization with swine digestate: PhiX-174, mengovirus (vMC0), Salmonella enterica Typhimurium and Escherichia coli O157:H7 were used as biomarkers. The survival of vMC0 and PhiX-174 in clay soil was significantly lower than in sandy soil (??T90 values of 10.520 ± 0.600 vs. 21.270 ± 1.100 and 12.040 ± 0.010 vs. 43.470 ± 1.300, respectively) and PhiX- 174 showed faster percolation and leaching in sandy soil than clay soil (??T90 values of 0.46 and 2.43, respectively). S. enterica Typhimurium was percolated and inactivated more slowly than E. coli O157:H7 (??T90 values of 9.340 ± 0.200 vs. 6.620 ± 0.500 and 11.900 ± 0.900 vs. 10.750 ± 0.900 in clay and sandy soils, respectively), such that E. coli O157:H7 was transferred more quickly to the deeper layers of both soils evaluated (percolation). Our findings suggest that E. coli O157:H7 may serve as a useful microbial biomarker of depth contamination and leaching in clay and sandy soil and that bacteriophage could be used as an indicator of enteric pathogen persistence. Our study contributes to development of predictive models for enteric pathogen behavior in soils, and for potential water and food contamination associated with biofertilization, useful for risk management and mitigation in swine digestate recyc... Mostrar Tudo |
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Thesagro: |
Biofertilizante; Contaminação; Dejeto; Manejo do solo; Meio ambiente. |
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Categoria do assunto: |
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Marc: |
LEADER 02280naa a2200253 a 4500
001 2081333
005 2017-12-04
008 2017 bl uuuu u00u1 u #d
024 7 $a10.3389/fmicb.2017.00074$2DOI
100 1 $aFONGARO, G.
245 $aDifferent behavior of enteric bacteria and viruses in cay and sandy soils after biofertilization with swine digestate.$h[electronic resource]
260 $c2017
520 $aEnteric pathogens from biofertilizer can accumulate in the soil, subsequently contaminating water and crops. We evaluated the survival, percolation and leaching of model enteric pathogens in clay and sandy soils after biofertilization with swine digestate: PhiX-174, mengovirus (vMC0), Salmonella enterica Typhimurium and Escherichia coli O157:H7 were used as biomarkers. The survival of vMC0 and PhiX-174 in clay soil was significantly lower than in sandy soil (??T90 values of 10.520 ± 0.600 vs. 21.270 ± 1.100 and 12.040 ± 0.010 vs. 43.470 ± 1.300, respectively) and PhiX- 174 showed faster percolation and leaching in sandy soil than clay soil (??T90 values of 0.46 and 2.43, respectively). S. enterica Typhimurium was percolated and inactivated more slowly than E. coli O157:H7 (??T90 values of 9.340 ± 0.200 vs. 6.620 ± 0.500 and 11.900 ± 0.900 vs. 10.750 ± 0.900 in clay and sandy soils, respectively), such that E. coli O157:H7 was transferred more quickly to the deeper layers of both soils evaluated (percolation). Our findings suggest that E. coli O157:H7 may serve as a useful microbial biomarker of depth contamination and leaching in clay and sandy soil and that bacteriophage could be used as an indicator of enteric pathogen persistence. Our study contributes to development of predictive models for enteric pathogen behavior in soils, and for potential water and food contamination associated with biofertilization, useful for risk management and mitigation in swine digestate recycling
650 $aBiofertilizante
650 $aContaminação
650 $aDejeto
650 $aManejo do solo
650 $aMeio ambiente
700 1 $aGARCÍA-GONZALEZ, M. C.
700 1 $aHERNANDEZ, M.
700 1 $aKUNZ, A.
700 1 $aBARARDI, C. R. M.
700 1 $aRODRIGUEZ-LÁZARO, D.
773 $tFrontiers in Microbiology$gv. 8, p. 1-9, 2017.
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