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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroenergia. Para informações adicionais entre em contato com cnpae.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
10/08/2016 |
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Data da última atualização: |
19/09/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MARTINS, M. T. B.; SOUZA, W. R. de; DIAS, B. B. A.; BASSO, M. F.; OLIVEIRA, N. G. de; VINECKY, F.; MARTINS, P. K.; OLIVEIRA, P. A. de; ARENQUE-MUSA, B. C.; SOUZA, A. P. de; BUCKERIDGE, M. S.; KOBAYASHI, A. K.; QUIRINO, B. F.; MOLINARI, H. B. C. |
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Afiliação: |
Maria Thereza Bazzo Martins; Wagner Rodrigo de Souza; BARBARA ANDRADE DIAS BRITO DA CUNHA, CNPAE; Marcos Fernando Basso; Nelson Geraldo de Oliveira; Felipe Vinecky; Polyana Kelly Martins; PATRICIA ABRAO DE OLIVEIRA, CNPAE; Bruna Cersózimo Arenque-Musa, USP; Amanda Pereira de Souza, USP; Marcos Silveira Buckeridge, USP; ADILSON KENJI KOBAYASHI, CNPAE; BETANIA FERRAZ QUIRINO, CNPAE; HUGO BRUNO CORREA MOLINARI, CNPAE. |
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Título: |
Characterization of sugarcane (Saccharum spp.) leaf senescence: implications for biofuel production. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Biotechnology for Biofuels, v. 9, n. 153, 2016. |
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DOI: |
10.1186/s13068-016-0568-0 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Cana-de-açúcar; Cell wall; Energia renovável; Etanol lignocelulósico; Lignocellulosic ethanol; Natural leaf senescence; Nutrient remobilization; Parede celular; Remobilização de nutrientes; Renewable energy; Senescência foliar natural. |
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Thesaurus Nal: |
biotechnology; sugarcane. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01314naa a2200433 a 4500
001 2050611
005 2017-09-19
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1186/s13068-016-0568-0$2DOI
100 1 $aMARTINS, M. T. B.
245 $aCharacterization of sugarcane (Saccharum spp.) leaf senescence$bimplications for biofuel production.$h[electronic resource]
260 $c2016
650 $abiotechnology
650 $asugarcane
653 $aCana-de-açúcar
653 $aCell wall
653 $aEnergia renovável
653 $aEtanol lignocelulósico
653 $aLignocellulosic ethanol
653 $aNatural leaf senescence
653 $aNutrient remobilization
653 $aParede celular
653 $aRemobilização de nutrientes
653 $aRenewable energy
653 $aSenescência foliar natural
700 1 $aSOUZA, W. R. de
700 1 $aDIAS, B. B. A.
700 1 $aBASSO, M. F.
700 1 $aOLIVEIRA, N. G. de
700 1 $aVINECKY, F.
700 1 $aMARTINS, P. K.
700 1 $aOLIVEIRA, P. A. de
700 1 $aARENQUE-MUSA, B. C.
700 1 $aSOUZA, A. P. de
700 1 $aBUCKERIDGE, M. S.
700 1 $aKOBAYASHI, A. K.
700 1 $aQUIRINO, B. F.
700 1 $aMOLINARI, H. B. C.
773 $tBiotechnology for Biofuels$gv. 9, n. 153, 2016.
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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Origem |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
02/12/2016 |
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Data da última atualização: |
11/04/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
LANA, U. G. de P.; SOUZA, I. R. P. de; NODA, R. W.; PASTINA, M. M.; MAGALHAES, J. V.; GUIMARAES, C. T. |
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Afiliação: |
UBIRACI GOMES DE PAULA LANA, CNPMS; ISABEL REGINA PRAZERES DE SOUZA, CNPMS; ROBERTO WILLIANS NODA, CNPMS; MARIA MARTA PASTINA, CNPMS; JURANDIR VIEIRA DE MAGALHAES, CNPMS; CLAUDIA TEIXEIRA GUIMARAES, CNPMS. |
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Título: |
Quantitative trait loci and resistance gene analogs associated with maize white spot resistance. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Plant Disease, v. 101, n. 1, p. 200-208, 2017. |
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DOI: |
10.1094/PDIS-06-16-0899-RE |
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Idioma: |
Inglês |
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Conteúdo: |
Maize white spot (MWS), caused by the bacterium Pantoea ananatis, is one of the most important maize foliar diseases in tropical and subtropical regions, causing significant yield losses. Despite its economic importance, genetic studies of MWS are scarce. The aim of this study was to map quantitative trait loci (QTL) associated with MWS resistance and to identify resistance gene analogs (RGA) underlying these QTL. QTL mapping was performed in a tropical maize F2:3 population, which was genotyped with simple-sequence repeat and RGA-tagged markers and phenotyped for the response to MWS in two Brazilian southeastern locations. Nine QTL explained approximately 70% of the phenotypic variance for MWS resistance at each location, with two of them consistently detected in both environments. Data mining using 112 resistance genes cloned from different plant species revealed 1,697 RGA distributed in clusters within the maize genome. The RGA Pto19, Pto20, Pto99, and Xa26.151.4 were genetically mapped within MWS resistance QTL on chromosomes 4 and 8 and were preferentially expressed in the resistant parental line at locations where their respective QTL occurred. The consistency of QTL mapping, in silico prediction, and gene expression analyses revealed RGA and genomic regions suitable for marker-assisted selection to improve MWS resistance. |
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Thesagro: |
Genética; Marcador molecular. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02012naa a2200217 a 4500
001 2057844
005 2017-04-11
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1094/PDIS-06-16-0899-RE$2DOI
100 1 $aLANA, U. G. de P.
245 $aQuantitative trait loci and resistance gene analogs associated with maize white spot resistance.$h[electronic resource]
260 $c2017
520 $aMaize white spot (MWS), caused by the bacterium Pantoea ananatis, is one of the most important maize foliar diseases in tropical and subtropical regions, causing significant yield losses. Despite its economic importance, genetic studies of MWS are scarce. The aim of this study was to map quantitative trait loci (QTL) associated with MWS resistance and to identify resistance gene analogs (RGA) underlying these QTL. QTL mapping was performed in a tropical maize F2:3 population, which was genotyped with simple-sequence repeat and RGA-tagged markers and phenotyped for the response to MWS in two Brazilian southeastern locations. Nine QTL explained approximately 70% of the phenotypic variance for MWS resistance at each location, with two of them consistently detected in both environments. Data mining using 112 resistance genes cloned from different plant species revealed 1,697 RGA distributed in clusters within the maize genome. The RGA Pto19, Pto20, Pto99, and Xa26.151.4 were genetically mapped within MWS resistance QTL on chromosomes 4 and 8 and were preferentially expressed in the resistant parental line at locations where their respective QTL occurred. The consistency of QTL mapping, in silico prediction, and gene expression analyses revealed RGA and genomic regions suitable for marker-assisted selection to improve MWS resistance.
650 $aGenética
650 $aMarcador molecular
700 1 $aSOUZA, I. R. P. de
700 1 $aNODA, R. W.
700 1 $aPASTINA, M. M.
700 1 $aMAGALHAES, J. V.
700 1 $aGUIMARAES, C. T.
773 $tPlant Disease$gv. 101, n. 1, p. 200-208, 2017.
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Embrapa Milho e Sorgo (CNPMS) |
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