| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Unidades Centrais. |
|
Data corrente: |
13/09/2017 |
|
Data da última atualização: |
13/09/2017 |
|
Autoria: |
MACEDO, L. R. de; CECON, P. R.; SILVA, F. F.; NASCIMENTO, M.; PUIATTI, G. A.; OLIVEIRA, A. C. R. de; PUIATTI, M. |
|
Afiliação: |
Leandro Roberto de Macedo, Universidade Federal de Juiz de Fora/Departamento de Economia/Campus Governador Valadares; Paulo Roberto Cecon, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Fabyano Fonseca e Silva, UFV/Departamento de Zootecnia; Moysés Nascimento, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Guilherme Alves Puiatti, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Ana Carolina Ribeiro de Oliveira, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Mario Puiatti, UFV/Departamento de Fitotecnia. |
|
Título: |
Bayesian inference for the fitting of dry matter accumulation curves in garlic plants. |
|
Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 8, p. 572-581, fev. 2017. |
|
Idioma: |
Inglês |
|
Notas: |
Título em português: Inferência bayesiana para o ajuste de curvas do acúmulo de matéria seca em plantas de alho. |
|
Conteúdo: |
The objective of this work was to identify nonlinear regression models that best describe dry matter accumulation curves over time, in garlic (Allium sativum) accessions, using Bayesian and frequentist approaches. Multivariate cluster analyses were made to group similar accessions according to the estimates of the parameters with biological interpretation (β1 and β3). In order to verify if the obtained groups were equal, statistical tests were applied to assess the parameter equality of the representative curves of each group. Thirty garlic accessions were used, which are kept by the vegetable germplasm bank of Universidade Federal de Viçosa, Brazil. The logistic model was the one that fit best to data in both approaches. Parameter estimates of this model were subjected to the cluster analysis using Ward?s algorithm, and the generalized Mahalanobis distance was used as a measure of dissimilarity. The optimal number of groups, according to the Mojena method, was three and four, for the frequentist and Bayesian approaches, respectively. Hypothesis tests for the parameter equality from estimated curves, for each identified group, indicated that both approaches highlight the differences between the accessions identified in the cluster analysis. Therefore, both approaches are recommended for this kind of study. |
|
Palavras-Chave: |
Agrupamento multivariado de curvas; Análise de agrupamento; Modelo não linear; Multivariate clustering curves. |
|
Thesagro: |
Allium Sativum. |
|
Thesaurus Nal: |
Cluster analysis; Nonlinear models. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163739/1/Bayesian-inference-for-the-fitting.pdf
|
|
Marc: |
LEADER 02326naa a2200289 a 4500
001 2075471
005 2017-09-13
008 2017 bl uuuu u00u1 u #d
100 1 $aMACEDO, L. R. de
245 $aBayesian inference for the fitting of dry matter accumulation curves in garlic plants.
260 $c2017
500 $aTítulo em português: Inferência bayesiana para o ajuste de curvas do acúmulo de matéria seca em plantas de alho.
520 $aThe objective of this work was to identify nonlinear regression models that best describe dry matter accumulation curves over time, in garlic (Allium sativum) accessions, using Bayesian and frequentist approaches. Multivariate cluster analyses were made to group similar accessions according to the estimates of the parameters with biological interpretation (β1 and β3). In order to verify if the obtained groups were equal, statistical tests were applied to assess the parameter equality of the representative curves of each group. Thirty garlic accessions were used, which are kept by the vegetable germplasm bank of Universidade Federal de Viçosa, Brazil. The logistic model was the one that fit best to data in both approaches. Parameter estimates of this model were subjected to the cluster analysis using Ward?s algorithm, and the generalized Mahalanobis distance was used as a measure of dissimilarity. The optimal number of groups, according to the Mojena method, was three and four, for the frequentist and Bayesian approaches, respectively. Hypothesis tests for the parameter equality from estimated curves, for each identified group, indicated that both approaches highlight the differences between the accessions identified in the cluster analysis. Therefore, both approaches are recommended for this kind of study.
650 $aCluster analysis
650 $aNonlinear models
650 $aAllium Sativum
653 $aAgrupamento multivariado de curvas
653 $aAnálise de agrupamento
653 $aModelo não linear
653 $aMultivariate clustering curves
700 1 $aCECON, P. R.
700 1 $aSILVA, F. F.
700 1 $aNASCIMENTO, M.
700 1 $aPUIATTI, G. A.
700 1 $aOLIVEIRA, A. C. R. de
700 1 $aPUIATTI, M.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 52, n. 8, p. 572-581, fev. 2017.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Soja. |
|
Data corrente: |
10/08/2011 |
|
Data da última atualização: |
17/04/2018 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
PEDROSA, F. O.; MONTEIRO, R. A.; WASSEM, R.; CRUZ, L. M.; AYUB, R. A.; COLAUTO, N. B.; FERNANDEZ, M. A.; FUNGARO, M. H. P.; GRISARD, E. C.; HUNGRIA, M.; MADEIRA, H. M. F.; NODARI, R. O.; OSAKU, C. A.; PETZL-ERLER, M. L.; TERENZI, H.; VIEIRA, L. G. E.; STEFFENS, M. B. R.; WEISS, V. A.; PEREIRA, L. F. P.; ALMEIDA, M. I. M.; ALVES, L. R.; MARIN, A.; ARAUJO, L. M.; BALSANELLI, E.; BAURA, V. A.; CHUBATSU, L. S.; FAORO, H.; FAVETTI, A.; FRIEDERMANN, G.; GLIENKE, C.; KARP, S.; KAVA-CORDEIRO, V.; RAITTZ, R. T.; RAMOS, H. J. O.; RIBEIRO, E. M. S. F.; RIGO, L. U.; ROCHA, S. N.; SCHWAB, S.; SILVA, A. G.; SOUZA, E. M.; MICHELLE Z. TADRA-SFEIR; TORRES, R. A.; DABUL, A. N. G.; SOARES, M. A. M.; GASQUES, L. S.; GIMENES, C. C. T.; VALLE, J. S.; CIFERRI, R. R.; CORREA, L. C.; MURACE, N. K.; PAMPHILE, J. A.; PATUSSI, E. V.; PRIOLI, A. J.; PRIOLI, S. M. A.; ROCHA, C. L. M. S. C.; ARANTES, O. M. N.; FURLANETO, M. C.; GODOY, L. P.; OLIVEIRA, C. E. C.; SATORI, D.; VILAS-BOAS, L. A.; WATANABE, M. A. E.; DAMBROS, B. P.; GUERRA, M. P.; MATHIONI, S. M.; SANTOS, K. L.; STEINDEL, M.; VERNAL, J.; BARCELLOS, F. G.; CAMPO, R. J.; CHUEIRE, L. M. O.; NICOLÁS, M. F.; PEREIRA-FERRARI, L.; SILVA, J. L. da C.; GIOPPO, N. M. R.; MARGARIDO, V. P.; MENCK-SOARES, M. A.; PINTO, F. G. S.; SIMÃO, R. de C. G.; TAKAHASHI, E. K.; YATES, M. G.; SOUZA, E. M. |
|
Afiliação: |
FÁBIO O. PEDROSA, UFPR; ROSE ADELE MONTEIRO, UFPR; ROSELI WASSEM, UFPR; LEONARDO M. CRUZ, UFPR; RICARDO A. AYUB, UEPG; NELSON B. COLAUTO, Universidade Paranaense, Umuarama.; MARIA APARECIDA FERNANDEZ, UEM; MARIA HELENA P. FUNGARO, UEL; EDMUNDO C. GRISARD, UFSC; MARIANGELA HUNGRIA DA CUNHA, CNPSO; HUMBERTO M. F. MADEIRA8,, PUC Curitiba; RUBENS O. NODARI, UFSC; CLARICE A. OSAKU, UNIOESTE; MARIA LUIZA PETZL-ERLER, UFPR; HERNÁN TERENZI, UFSC; LUIZ G. E. VIEIRA, IAPAR; MARIA BERENICE R. STEFFENS, UFPR; VINICIUS A. WEISS, UFPR; LUIZ F. P. PEREIRA, IAPAR; MARINA I. M. ALMEIDA, UFPR; LYSANGELA R. ALVES, UFPR; ANELIS MARIN, UFPR; LUIZA MARIA ARAUJO, UFPR; EDUARDO BALSANELLI, UFPR; VALTER A. BAURA, UFPR; LEDA S. CHUBATSU, UFPR; HELISSON FAORO, UFPR; AUGUSTO FAVETTI, UFPR; GERALDO FRIEDERMANN, UFPR; CHIRLEI GLIENKE, UFPR; SUSAN KARP, UFPR; VANESSA KAVA-CORDEIRO, UFPR; ROBERTO T. RAITTZ, UFPR; HUMBERTO J. O. RAMOS, UFPR; ENILZE MARIA S. F. RIBEIRO, UFPR; LIU UN RIGO, UFPR; SAUL N. ROCHA, UFPR; STEFAN SCHWAB, UFPR; ANILDA G. SILVA, UFPR; ELIEL M. SOUZA, UFPR; TADRA-SFEIR, M. Z., UFPR; RODRIGO A. TORRES, UFPR; AUDREI N. G. DABUL, UEPG; MARIA ALBERTINA M. SOARES, UEPG; LUCIANO S. GASQUES, Universidade Paranaense, Umuarama; CIELA C. T. GIMENES, Universidade Paranaense, Umuarama.; JULIANA S. VALLE, Universidade Paranaense, Umuarama.; RICARDO R. CIFERRI, UEM; LUIZ C. CORREA, UEM; NORMA K. MURACE, UEM; JOÃO A. PAMPHILE, UEM; ELIANA VALÉRIA PATUSSI, UEM; ALBERTO J. PRIOLI, UEM; SONIA MARIA A. PRIOLI, UEM; CARMEM LÚCIA M. S. C. ROCHA, UEM; OLÍVIA MÁRCIA N. ARANTES, UEL; MÁRCIA CRISTINA FURLANETO, UEL; LEANDRO P. GODOY, UEL; CARLOS E. C. OLIVEIRA, UEL; DANIELE SATORI, UEL; LAURIVAL A. VILAS-BOAS, UEL; MARIA ANGÉLICA E. WATANABE, UEL; BIBIANA PAULA DAMBROS, UFSC; MIGUEL P. GUERRA, UFSC; SANDRA MARISA MATHIONI, UFSC; KARINE LOUISE SANTOS, UFSC; MARIO STEINDEL, UFSC; JAVIER VERNAL, UFSC; FERNANDO G. BARCELLOS, CNPSo - Pós-graduando; RUBENS J. CAMPO, CNPSo - Pesquisador aposentado; LIGIA MARIA DE OLIVEIRA CHUEIRE, CNPSO; MARISA FABIANA NICOLÁS, CNPSo - Pós-graduanda; LILIAN PEREIRA-FERRARI, PUC Curitiba-PR; JOSÉ L. DA CONCEICÃO SILVA, UNIOESTE; NEREIDA M. R. GIOPPO, UNIOESTE; VLADIMIR P. MARGARIDO, UNIOESTE; MARIA AMÉLIA MENCK-SOARES, UNIOESTE; FABIANA GISELE S. PINTO, UNIOESTE; RITA DE CÁSSIA G. SIMÃO, UNIOESTE; ELIZABETE K. TAKAHASHI, IAPAR; MARSHALL G. YATES, UFPR; EMANUEL M. SOUZA, UFPR. |
|
Título: |
Genome of Herbaspirillum seropedicae Strain SmR1, a specialized diazotrophic endophyte of tropical grasses. |
|
Ano de publicação: |
2011 |
|
Fonte/Imprenta: |
PLoS Genetics, v. 7, n. 5, p. 1-10, may 2011. |
|
DOI: |
10.1371/journal.pgen.1002064 |
|
Idioma: |
Português |
|
Conteúdo: |
The molecular mechanisms of plant recognition, colonization, and nutrient exchange between diazotrophic endophytes and plants are scarcely known. Herbaspirillum seropedicae is an endophytic bacterium capable of colonizing intercellular spaces of grasses such as rice and sugar cane. The genome of H. seropedicae strain SmR1 was sequenced and annotated by The Paraná State Genome Programme?GENOPAR. The genome is composed of a circular chromosome of 5,513,887 bp and contains a total of 4,804 genes. The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases. The genome contains a multitude of protein secretion systems, including type I, type II, type III, type V, and type VI secretion systems, and type IV pili, suggesting a high potential to interact with host plants. H. seropedicae is able to synthesize indole acetic acid as reflected by the four IAA biosynthetic pathways present. A gene coding for ACC deaminase, which may be involved in modulating the associated plant ethylene-signaling pathway, is also present. Genes for hemagglutinins/hemolysins/adhesins were found and may play a role in plant cell surface adhesion. These features may endow H. seropedicae with the ability to establish an endophytic life-style in a large number of plant species. |
|
Palavras-Chave: |
Fixação nitrogênio. |
|
Thesagro: |
Genoma; Graminea tropical. |
|
Thesaurus NAL: |
Genome; Grasses; Herbaspirillum seropedicae; Nitrogen fixation. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/39544/1/plos-genetics.pdf
|
|
Marc: |
LEADER 04596naa a2201189 a 4500
001 1897676
005 2018-04-17
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pgen.1002064$2DOI
100 1 $aPEDROSA, F. O.
245 $aGenome of Herbaspirillum seropedicae Strain SmR1, a specialized diazotrophic endophyte of tropical grasses.
260 $c2011
520 $aThe molecular mechanisms of plant recognition, colonization, and nutrient exchange between diazotrophic endophytes and plants are scarcely known. Herbaspirillum seropedicae is an endophytic bacterium capable of colonizing intercellular spaces of grasses such as rice and sugar cane. The genome of H. seropedicae strain SmR1 was sequenced and annotated by The Paraná State Genome Programme?GENOPAR. The genome is composed of a circular chromosome of 5,513,887 bp and contains a total of 4,804 genes. The genome sequence revealed that H. seropedicae is a highly versatile microorganism with capacity to metabolize a wide range of carbon and nitrogen sources and with possession of four distinct terminal oxidases. The genome contains a multitude of protein secretion systems, including type I, type II, type III, type V, and type VI secretion systems, and type IV pili, suggesting a high potential to interact with host plants. H. seropedicae is able to synthesize indole acetic acid as reflected by the four IAA biosynthetic pathways present. A gene coding for ACC deaminase, which may be involved in modulating the associated plant ethylene-signaling pathway, is also present. Genes for hemagglutinins/hemolysins/adhesins were found and may play a role in plant cell surface adhesion. These features may endow H. seropedicae with the ability to establish an endophytic life-style in a large number of plant species.
650 $aGenome
650 $aGrasses
650 $aHerbaspirillum seropedicae
650 $aNitrogen fixation
650 $aGenoma
650 $aGraminea tropical
653 $aFixação nitrogênio
700 1 $aMONTEIRO, R. A.
700 1 $aWASSEM, R.
700 1 $aCRUZ, L. M.
700 1 $aAYUB, R. A.
700 1 $aCOLAUTO, N. B.
700 1 $aFERNANDEZ, M. A.
700 1 $aFUNGARO, M. H. P.
700 1 $aGRISARD, E. C.
700 1 $aHUNGRIA, M.
700 1 $aMADEIRA, H. M. F.
700 1 $aNODARI, R. O.
700 1 $aOSAKU, C. A.
700 1 $aPETZL-ERLER, M. L.
700 1 $aTERENZI, H.
700 1 $aVIEIRA, L. G. E.
700 1 $aSTEFFENS, M. B. R.
700 1 $aWEISS, V. A.
700 1 $aPEREIRA, L. F. P.
700 1 $aALMEIDA, M. I. M.
700 1 $aALVES, L. R.
700 1 $aMARIN, A.
700 1 $aARAUJO, L. M.
700 1 $aBALSANELLI, E.
700 1 $aBAURA, V. A.
700 1 $aCHUBATSU, L. S.
700 1 $aFAORO, H.
700 1 $aFAVETTI, A.
700 1 $aFRIEDERMANN, G.
700 1 $aGLIENKE, C.
700 1 $aKARP, S.
700 1 $aKAVA-CORDEIRO, V.
700 1 $aRAITTZ, R. T.
700 1 $aRAMOS, H. J. O.
700 1 $aRIBEIRO, E. M. S. F.
700 1 $aRIGO, L. U.
700 1 $aROCHA, S. N.
700 1 $aSCHWAB, S.
700 1 $aSILVA, A. G.
700 1 $aSOUZA, E. M.
700 1 $aMICHELLE Z. TADRA-SFEIR
700 1 $aTORRES, R. A.
700 1 $aDABUL, A. N. G.
700 1 $aSOARES, M. A. M.
700 1 $aGASQUES, L. S.
700 1 $aGIMENES, C. C. T.
700 1 $aVALLE, J. S.
700 1 $aCIFERRI, R. R.
700 1 $aCORREA, L. C.
700 1 $aMURACE, N. K.
700 1 $aPAMPHILE, J. A.
700 1 $aPATUSSI, E. V.
700 1 $aPRIOLI, A. J.
700 1 $aPRIOLI, S. M. A.
700 1 $aROCHA, C. L. M. S. C.
700 1 $aARANTES, O. M. N.
700 1 $aFURLANETO, M. C.
700 1 $aGODOY, L. P.
700 1 $aOLIVEIRA, C. E. C.
700 1 $aSATORI, D.
700 1 $aVILAS-BOAS, L. A.
700 1 $aWATANABE, M. A. E.
700 1 $aDAMBROS, B. P.
700 1 $aGUERRA, M. P.
700 1 $aMATHIONI, S. M.
700 1 $aSANTOS, K. L.
700 1 $aSTEINDEL, M.
700 1 $aVERNAL, J.
700 1 $aBARCELLOS, F. G.
700 1 $aCAMPO, R. J.
700 1 $aCHUEIRE, L. M. O.
700 1 $aNICOLÁS, M. F.
700 1 $aPEREIRA-FERRARI, L.
700 1 $aSILVA, J. L. da C.
700 1 $aGIOPPO, N. M. R.
700 1 $aMARGARIDO, V. P.
700 1 $aMENCK-SOARES, M. A.
700 1 $aPINTO, F. G. S.
700 1 $aSIMÃO, R. de C. G.
700 1 $aTAKAHASHI, E. K.
700 1 $aYATES, M. G.
700 1 $aSOUZA, E. M.
773 $tPLoS Genetics$gv. 7, n. 5, p. 1-10, may 2011.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Soja (CNPSO) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
