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![](/consulta/web/img/deny.png) | 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. |
Data corrente: |
12/09/2011 |
Data da última atualização: |
12/09/2011 |
Autoria: |
SANT'ANA, F. J. F. de; RISSI, D. R.; LUCENA, R. B. de; LEMOS, R. A. A.; NOGUEIRA, A. P. A.; BARROS, C. S. L. |
Título: |
Polioencefalomalacia em bovinos: epidemiologia, sinais clínicos e distribuição das lesões no encéfalo.
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Ano de publicação: |
2009 |
Fonte/Imprenta: |
Pesquisa Veterinária Brasileira, Rio de Janeiro, RJ, v. 29, n. 7, p. 487-497, julho, 2009. |
Idioma: |
Português |
Palavras-Chave: |
Distribuição de lesão; Doença de bovino; Neuropatologia; Polioencefalomalacia. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00718naa a2200217 a 4500 001 1080268 005 2011-09-12 008 2009 bl uuuu u00u1 u #d 100 1 $aSANT'ANA, F. J. F. de 245 $aPolioencefalomalacia em bovinos$bepidemiologia, sinais clínicos e distribuição das lesões no encéfalo. 260 $c2009 653 $aDistribuição de lesão 653 $aDoença de bovino 653 $aNeuropatologia 653 $aPolioencefalomalacia 700 1 $aRISSI, D. R. 700 1 $aLUCENA, R. B. de 700 1 $aLEMOS, R. A. A. 700 1 $aNOGUEIRA, A. P. A. 700 1 $aBARROS, C. S. L. 773 $tPesquisa Veterinária Brasileira, Rio de Janeiro, RJ$gv. 29, n. 7, p. 487-497, julho, 2009.
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Biblioteca(s): |
Epagri-Sede. |
Data corrente: |
19/02/2015 |
Data da última atualização: |
19/02/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
COSTA, P. B.; GRANADA, C. E.; AMBROSINI, A.; MOREIRA, F.; SOUZA, R.; PASSOS, J. F. M.; ARRUDA, L.; PASSAGLIA, L. M. P. |
Título: |
A model to explain plant growth promotion traits: A multivariate analysis of 2,211 bacterial isolates. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
PLoS ONE, Itália, v. 9, n. 12, p. 1-25, 2014. |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Bioprospection; PCA; PGPB. |
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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