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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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Registro Completo |
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
07/07/2011 |
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Data da última atualização: |
07/07/2011 |
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Autoria: |
SILVA, S. de A.; LIMA, J. S. de S.; QUEIROZ, D. M. de. |
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Título: |
Spatial variability in nutritional status of arabic coffee based on dris index. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Revista Ceres, Viçosa, MG, v. 58, n. 2, p. 256-261, mar./abr. 2011. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Agricultura de precisão; Análise foliar; Geoestatística; Produtividade. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00560naa a2200181 a 4500
001 1078100
005 2011-07-07
008 2011 bl uuuu u00u1 u #d
100 1 $aSILVA, S. de A.
245 $aSpatial variability in nutritional status of arabic coffee based on dris index.
260 $c2011
653 $aAgricultura de precisão
653 $aAnálise foliar
653 $aGeoestatística
653 $aProdutividade
700 1 $aLIMA, J. S. de S.
700 1 $aQUEIROZ, D. M. de.
773 $tRevista Ceres, Viçosa, MG$gv. 58, n. 2, p. 256-261, mar./abr. 2011.
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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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