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 | Acesso ao texto completo restrito à biblioteca da Epagri-Sede. Para informações adicionais entre em contato com biblio@epagri.sc.gov.br. |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
15/06/2005 |
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Data da última atualização: |
15/06/2005 |
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Autoria: |
BLANCO, H.G.; OLIVEIRA, D.de A.; MATALLO, M.B. |
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Título: |
Persistencia e residuos do herbicida Oryzalin em solos cultivados com soja. |
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Ano de publicação: |
1988 |
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Fonte/Imprenta: |
Pesquisa Agropecuaria Brasileira, Brasilia, v.23, n.10, p.1107-1113, out.1988. |
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Idioma: |
Português |
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Palavras-Chave: |
Bioatividade; Bioensaio; Degradacao do solo; Glycine max; Pesticida; Soja. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00588naa a2200205 a 4500
001 1036738
005 2005-06-15
008 1988 bl uuuu u00u1 u #d
100 1 $aBLANCO, H.G.
245 $aPersistencia e residuos do herbicida Oryzalin em solos cultivados com soja.
260 $c1988
653 $aBioatividade
653 $aBioensaio
653 $aDegradacao do solo
653 $aGlycine max
653 $aPesticida
653 $aSoja
700 1 $aOLIVEIRA, D.de A.
700 1 $aMATALLO, M.B.
773 $tPesquisa Agropecuaria Brasileira, Brasilia$gv.23, n.10, p.1107-1113, out.1988.
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
19/02/2015 |
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Data da última atualização: |
19/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Internacional - A |
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Autoria: |
COSTA, P. B.; GRANADA, C. E.; AMBROSINI, A.; MOREIRA, F.; SOUZA, R.; PASSOS, J. F. M.; ARRUDA, L.; PASSAGLIA, L. M. P. |
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Título: |
A model to explain plant growth promotion traits: A multivariate analysis of 2,211 bacterial isolates. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
PLoS ONE, Itália, v. 9, n. 12, p. 1-25, 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
Plant growth-promoting bacteria can greatly assist sustainable farming by improving plant health and biomass while reducing fertilizer use. The plantmicroorganism-environment interaction is an open and complex system, and despite the active research in the area, patterns in root ecology are elusive. Here, we simultaneously analyzed the plant growth-promoting bacteria datasets from seven independent studies that shared a methodology for bioprospection and phenotype screening. The soil richness of the isolate?s origin was classified by a Principal Component Analysis. A Categorical Principal Component Analysis was used to classify the soil richness according to isolate?s indolic compound production, siderophores production and phosphate solubilization abilities, and bacterial genera composition. Multiple patterns and relationships were found and verified with nonparametric hypothesis testing. Including niche colonization in the analysis, we proposed a model to explain the expression of bacterial plant growthpromoting traits according to the soil nutritional status. Our model shows that plants favor interaction with growth hormone producers under rich nutrient conditions but favor nutrient solubilizers under poor conditions. We also performed several comparisons among the different genera, highlighting interesting ecological interactions and limitations. Our model could be used to direct plant growthpromoting bacteria bioprospection and metagenomic sampling. |
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Palavras-Chave: |
Bioprospection; PCA; PGPB. |
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Categoria do assunto: |
S Ciências Biológicas |
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Marc: |
LEADER 02155naa a2200241 a 4500
001 1123068
005 2015-02-19
008 2014 bl uuuu u00u1 u #d
100 1 $aCOSTA, P. B.
245 $aA model to explain plant growth promotion traits$bA multivariate analysis of 2,211 bacterial isolates.$h[electronic resource]
260 $c2014
520 $aPlant growth-promoting bacteria can greatly assist sustainable farming by improving plant health and biomass while reducing fertilizer use. The plantmicroorganism-environment interaction is an open and complex system, and despite the active research in the area, patterns in root ecology are elusive. Here, we simultaneously analyzed the plant growth-promoting bacteria datasets from seven independent studies that shared a methodology for bioprospection and phenotype screening. The soil richness of the isolate?s origin was classified by a Principal Component Analysis. A Categorical Principal Component Analysis was used to classify the soil richness according to isolate?s indolic compound production, siderophores production and phosphate solubilization abilities, and bacterial genera composition. Multiple patterns and relationships were found and verified with nonparametric hypothesis testing. Including niche colonization in the analysis, we proposed a model to explain the expression of bacterial plant growthpromoting traits according to the soil nutritional status. Our model shows that plants favor interaction with growth hormone producers under rich nutrient conditions but favor nutrient solubilizers under poor conditions. We also performed several comparisons among the different genera, highlighting interesting ecological interactions and limitations. Our model could be used to direct plant growthpromoting bacteria bioprospection and metagenomic sampling.
653 $aBioprospection
653 $aPCA
653 $aPGPB
700 1 $aGRANADA, C. E.
700 1 $aAMBROSINI, A.
700 1 $aMOREIRA, F.
700 1 $aSOUZA, R.
700 1 $aPASSOS, J. F. M.
700 1 $aARRUDA, L.
700 1 $aPASSAGLIA, L. M. P.
773 $tPLoS ONE, Itália$gv. 9, n. 12, p. 1-25, 2014.
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