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| Registros recuperados : 8 | |
| 6. |  | DEVANI, M.; ZAMORANO, M. A.; LEDESMA, F.; PLOPER, L. D.; GARCIA, M. B.; GAMBOA, D.; LENIS, J.; GANDUR, M. Red de evaluación de cultivares de soja para el Nororeste argentino: resultados de la campaña 1999/2000. Tucuman: EEA Obispo Colombres, 2000. 52p. (EEAOC. Publicacion Especial, 19).| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 7. | | DEVANI, M.; LEDESMA, F.; LENIS, J. M.; PLOPER, L. D.; GARCIA, M. B.; ZAMORANO, M. A.; GAMBOA, D.; HASAN, M. C.; LOPEZ, G.; LAMELAS, C.; VALDERRABANO, J. Red de evaluacion de cultivares de soja para el Noroeste Argentino: campana 2000/2001. Las Talitas: EEA Obispo Colombres, 2001. 67p. (EEAOC. Publicacion Especial, 21).| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 8. | | ROCHA, C. M. L.; VELLICCE, G. R.; GARCÍA, M. G.; PARDO, E. M.; RACEDO, J.; PERERA, M. F.; LUCÍA, A. de; GILLI, J.; BOGADO, N.; BONNECARRÈRE, V.; GERMAN, S.; MARCELINO, F.; LEDESMA, F.; REZNIKOV, S.; PLOPER, L. D.; WELIN, B.; CASTAGNARO, A. P. Use of AFLP markers to estimate molecular diversity of Phakopsora pachyrhizi. Electronic Journal of Biotechnology, v. 18, n. 6, p. 439-444, 2015.| Biblioteca(s): Embrapa Soja. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
17/11/2015 |
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Data da última atualização: |
31/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
ROCHA, C. M. L.; VELLICCE, G. R.; GARCÍA, M. G.; PARDO, E. M.; RACEDO, J.; PERERA, M. F.; LUCÍA, A. de; GILLI, J.; BOGADO, N.; BONNECARRÈRE, V.; GERMAN, S.; MARCELINO, F.; LEDESMA, F.; REZNIKOV, S.; PLOPER, L. D.; WELIN, B.; CASTAGNARO, A. P. |
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Afiliação: |
CARLA MARIA LOURDES ROCHA, ITA - NOA; GABRIEL RICARDO VELLICCE, ITA - NOA; MARÍA GABRIELA GARCÍA, ITA - NOA; ESTEBAN MARIANO PARDO, ITA - NOA; JOSEFINA RACEDO, ITA - NOA; MARÍA FRANCISCA PERERA, ITA - NOA; ADRIAN DE LUCÍA, INTA; JAVIER GILLI, INTA; NOELIA BOGADO, IPTA; VICTORIA BONNECARRÈRE, INIA; SILVIA GERMAN, INIA; FRANCISMAR CORREA MARCELINO GUIMARÃES, CNPSO; FERNANDO LEDESMA A ,, ITA - NOA; SEBASTIÁN REZNIKOV, ITA - NOA; LEONARDO DANIEL PLOPER, ITA - NOA; BJORN WELIN, ITA - NOA; ATILIO PEDRO CASTAGNARO, ITA- NOA. |
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Título: |
Use of AFLP markers to estimate molecular diversity of Phakopsora pachyrhizi. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Electronic Journal of Biotechnology, v. 18, n. 6, p. 439-444, 2015. |
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ISSN: |
0717-3458 |
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DOI: |
10.1016/j.ejbt.2015.06.007 |
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Idioma: |
Inglês |
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Conteúdo: |
Background: Asian soybean rust (SBR) caused by Phakopsora pachyrhizi Syd. & Syd., is one of the main diseases affecting soybean and has been reported as one of the most economically important fungal pathogens worldwide. Knowledge of the genetic diversity of this fungus should be considered when developing resistance breeding strategies. We aimed to analyze the genetic diversity of P. pachyrhizi combining simple sampling with a powerful and reproducible molecular technique. Results: We employed Amplified Fragment Length Polymorphism (AFLP) technique for the amplification of P. pachyrhizi DNA extracted from naturally SBR-infected plants from 23 production fields. From a total of 1919 markers obtained, 77% were polymorphic. The high percentage of polymorphism and the Nei's genetic diversity coefficient (0.22) indicated high pathogen diversity. Analysis of molecular variance showed higher genetic variation within countries than among them. Temporal analysis showed a higher genetic variation within a year than between years. Cluster, phylogenetic and principal co-ordinate analysis showed that samples group by year of collection and then by country sampled. Conclusions: The study proposed combining a simple collection of urediniospore with a subsequent analysis by AFLP was useful to examine the molecular polymorphism of samples of P. pachyrhizi collected and might have a significant contribution to the knowledge of its genetic diversity. Also, AFLP analysis is an important and potent molecular tool for the study of genetic diversity and could be useful to carry out wider genetic diversity studies. MenosBackground: Asian soybean rust (SBR) caused by Phakopsora pachyrhizi Syd. & Syd., is one of the main diseases affecting soybean and has been reported as one of the most economically important fungal pathogens worldwide. Knowledge of the genetic diversity of this fungus should be considered when developing resistance breeding strategies. We aimed to analyze the genetic diversity of P. pachyrhizi combining simple sampling with a powerful and reproducible molecular technique. Results: We employed Amplified Fragment Length Polymorphism (AFLP) technique for the amplification of P. pachyrhizi DNA extracted from naturally SBR-infected plants from 23 production fields. From a total of 1919 markers obtained, 77% were polymorphic. The high percentage of polymorphism and the Nei's genetic diversity coefficient (0.22) indicated high pathogen diversity. Analysis of molecular variance showed higher genetic variation within countries than among them. Temporal analysis showed a higher genetic variation within a year than between years. Cluster, phylogenetic and principal co-ordinate analysis showed that samples group by year of collection and then by country sampled. Conclusions: The study proposed combining a simple collection of urediniospore with a subsequent analysis by AFLP was useful to examine the molecular polymorphism of samples of P. pachyrhizi collected and might have a significant contribution to the knowledge of its genetic diversity. Also, AFLP analysis is an important and pot... Mostrar Tudo |
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Palavras-Chave: |
Ferrugem asiática da soja. |
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Thesagro: |
Doença de planta; Ferrugem; Fungo; Phakopsora pachyrhizi; Soja. |
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Thesaurus NAL: |
Microbial growth; Plant diseases and disorders; Soybean rust. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
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001 2028670
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008 2015 bl uuuu u00u1 u #d
022 $a0717-3458
024 7 $a10.1016/j.ejbt.2015.06.007$2DOI
100 1 $aROCHA, C. M. L.
245 $aUse of AFLP markers to estimate molecular diversity of Phakopsora pachyrhizi.$h[electronic resource]
260 $c2015
520 $aBackground: Asian soybean rust (SBR) caused by Phakopsora pachyrhizi Syd. & Syd., is one of the main diseases affecting soybean and has been reported as one of the most economically important fungal pathogens worldwide. Knowledge of the genetic diversity of this fungus should be considered when developing resistance breeding strategies. We aimed to analyze the genetic diversity of P. pachyrhizi combining simple sampling with a powerful and reproducible molecular technique. Results: We employed Amplified Fragment Length Polymorphism (AFLP) technique for the amplification of P. pachyrhizi DNA extracted from naturally SBR-infected plants from 23 production fields. From a total of 1919 markers obtained, 77% were polymorphic. The high percentage of polymorphism and the Nei's genetic diversity coefficient (0.22) indicated high pathogen diversity. Analysis of molecular variance showed higher genetic variation within countries than among them. Temporal analysis showed a higher genetic variation within a year than between years. Cluster, phylogenetic and principal co-ordinate analysis showed that samples group by year of collection and then by country sampled. Conclusions: The study proposed combining a simple collection of urediniospore with a subsequent analysis by AFLP was useful to examine the molecular polymorphism of samples of P. pachyrhizi collected and might have a significant contribution to the knowledge of its genetic diversity. Also, AFLP analysis is an important and potent molecular tool for the study of genetic diversity and could be useful to carry out wider genetic diversity studies.
650 $aMicrobial growth
650 $aPlant diseases and disorders
650 $aSoybean rust
650 $aDoença de planta
650 $aFerrugem
650 $aFungo
650 $aPhakopsora pachyrhizi
650 $aSoja
653 $aFerrugem asiática da soja
700 1 $aVELLICCE, G. R.
700 1 $aGARCÍA, M. G.
700 1 $aPARDO, E. M.
700 1 $aRACEDO, J.
700 1 $aPERERA, M. F.
700 1 $aLUCÍA, A. de
700 1 $aGILLI, J.
700 1 $aBOGADO, N.
700 1 $aBONNECARRÈRE, V.
700 1 $aGERMAN, S.
700 1 $aMARCELINO, F.
700 1 $aLEDESMA, F.
700 1 $aREZNIKOV, S.
700 1 $aPLOPER, L. D.
700 1 $aWELIN, B.
700 1 $aCASTAGNARO, A. P.
773 $tElectronic Journal of Biotechnology$gv. 18, n. 6, p. 439-444, 2015.
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