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Registro Completo |
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
03/11/2011 |
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Data da última atualização: |
01/11/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
OLIVEIRA, R. S.; SILVA, V. de S. e; LIMA, L. M. S.; TEIXEIRA, R. B.; MARTINS, K.; RAPOSO, A.; CAMPOS, T. de; WADT, L. H. de O. |
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Afiliação: |
UFAC; VALDEMIR DE SOUZA E SILVA, CPAF-AC; BOLSISTA EMBRAPA ACRE; RENATA BELTRAO TEIXEIRA, CPAF-AC; UFSCar; ANDREA RAPOSO, CPAF-AC; TATIANA DE CAMPOS, CPAF-AC; LUCIA HELENA DE OLIVEIRA WADT, CPAF-AC. |
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Título: |
Genetic diversity of Brazil nut (Bertholletia excelsa Bonpl.) using molecular markers. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 3, 2011, Ilhéus. Resumos. [S. l.]: Sociedade Brasileira de Genética, 2011. |
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Páginas: |
1 p. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Bertholettia excelsa; Castanha-do-brasil; Diversidade genética. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00790nam a2200229 a 4500
001 1904862
005 2023-11-01
008 2011 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, R. S.
245 $aGenetic diversity of Brazil nut (Bertholletia excelsa Bonpl.) using molecular markers.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 3, 2011, Ilhéus. Resumos. [S. l.]: Sociedade Brasileira de Genética$c2011
300 $a1 p.$c1 CD-ROM.
653 $aBertholettia excelsa
653 $aCastanha-do-brasil
653 $aDiversidade genética
700 1 $aSILVA, V. de S. e
700 1 $aLIMA, L. M. S.
700 1 $aTEIXEIRA, R. B.
700 1 $aMARTINS, K.
700 1 $aRAPOSO, A.
700 1 $aCAMPOS, T. de
700 1 $aWADT, L. H. de O.
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Embrapa Acre (CPAF-AC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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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