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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
19/01/2017 |
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Data da última atualização: |
08/02/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CASTRO, J. A.; OLIVEIRA, E. J. de; JESUS, O. N. de; SOARES, T. L.; MARGARIDO, G. R. A. |
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Afiliação: |
J. A. CASTRO, UFRB; EDER JORGE DE OLIVEIRA, CNPMF; ONILDO NUNES DE JESUS, CNPMF; T. L. SOARES; G. R. A. MARGARIDO, ESALQ. |
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Título: |
Molecular markers for conservation genetic resources of fourPassiflora species. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Scientia Horticulturae, v., 212, p. 251-261, 2016. |
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ISSN: |
0304-4238 |
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Idioma: |
Inglês |
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Conteúdo: |
tThe aim of this study was to use microsatellite markers (SSR) for the characterization of the Passifloraspecies and to verify the effect of random selection of individuals in parameters that characterize thegenetic variability of germplasm for conservation purposes. Four species, Passiflora edulis f. flavicarpaDegener, P. cincinnata Mast., P. alata Curtis and P. setacea D.C., were evaluated. For each species tworandom samples were evaluated, one consisting of 60 plants (S60) and the other of 10 plants (S10)randomly selected from the S60. Initially, the S10 and S60 were used to calculate the genetic parametersof number of alleles, expected and observed heterozygosity, effective population size, inbreeding andpolymorphic information content based on 40 microsatellite markers developed for P. edulis and 20 for P.alata. Further bootstrap analysis was performed to identify the minimum number of individuals neededto represent the variability of each Passiflora species from a range of 2 to 59. The number of polymorphicmicrosatellites was 15, 9, 6 and 2 on P. edulis f. flavicarpa, P. cincinnata, P. alata and P. setacea, respectively.The allelic loss due to the under-representation of the samples was 19 (30%), 16 (43%) and nine (39%)alleles, respectively, for P. edulis f. flavicarpa, P. cincinnata and P. alata. No allelic loss was observed forP. setacea, probably because only two polymorphic microsatellites were identified. In general, there aredifferences between S10 and S60 because of lost genetic variability on S10, indicating that the use of these10 individuals to represent the Passiflora species is insufficient for long-term preservation. In contrast,the bootstrap analysis revealed that the stability of the genetic parameters due to the increase in samplesize was close to 30, 23, 25 and 24 individuals for P. cincinnata, P. edulis f. flavicarpa, P. setacea and P. alata,respectively. The difference of genetic estimates between samples S10 and S60 demonstrated that 23?30individuals are the minimum range of population to represent the Passiflora species studied. This studymay optimize the strategies for conservation the Passiflora germplasm avoiding the under-representationof samples and consequent loss of genetic variability during sexual propagation. MenostThe aim of this study was to use microsatellite markers (SSR) for the characterization of the Passifloraspecies and to verify the effect of random selection of individuals in parameters that characterize thegenetic variability of germplasm for conservation purposes. Four species, Passiflora edulis f. flavicarpaDegener, P. cincinnata Mast., P. alata Curtis and P. setacea D.C., were evaluated. For each species tworandom samples were evaluated, one consisting of 60 plants (S60) and the other of 10 plants (S10)randomly selected from the S60. Initially, the S10 and S60 were used to calculate the genetic parametersof number of alleles, expected and observed heterozygosity, effective population size, inbreeding andpolymorphic information content based on 40 microsatellite markers developed for P. edulis and 20 for P.alata. Further bootstrap analysis was performed to identify the minimum number of individuals neededto represent the variability of each Passiflora species from a range of 2 to 59. The number of polymorphicmicrosatellites was 15, 9, 6 and 2 on P. edulis f. flavicarpa, P. cincinnata, P. alata and P. setacea, respectively.The allelic loss due to the under-representation of the samples was 19 (30%), 16 (43%) and nine (39%)alleles, respectively, for P. edulis f. flavicarpa, P. cincinnata and P. alata. No allelic loss was observed forP. setacea, probably because only two polymorphic microsatellites were identified. In general, there aredifferences between S10 and S60 becaus... Mostrar Tudo |
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Palavras-Chave: |
Passionfruit. |
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Thesagro: |
Maracujá. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02875naa a2200205 a 4500
001 2061183
005 2017-02-08
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022 $a0304-4238
100 1 $aCASTRO, J. A.
245 $aMolecular markers for conservation genetic resources of fourPassiflora species.$h[electronic resource]
260 $c2016
520 $atThe aim of this study was to use microsatellite markers (SSR) for the characterization of the Passifloraspecies and to verify the effect of random selection of individuals in parameters that characterize thegenetic variability of germplasm for conservation purposes. Four species, Passiflora edulis f. flavicarpaDegener, P. cincinnata Mast., P. alata Curtis and P. setacea D.C., were evaluated. For each species tworandom samples were evaluated, one consisting of 60 plants (S60) and the other of 10 plants (S10)randomly selected from the S60. Initially, the S10 and S60 were used to calculate the genetic parametersof number of alleles, expected and observed heterozygosity, effective population size, inbreeding andpolymorphic information content based on 40 microsatellite markers developed for P. edulis and 20 for P.alata. Further bootstrap analysis was performed to identify the minimum number of individuals neededto represent the variability of each Passiflora species from a range of 2 to 59. The number of polymorphicmicrosatellites was 15, 9, 6 and 2 on P. edulis f. flavicarpa, P. cincinnata, P. alata and P. setacea, respectively.The allelic loss due to the under-representation of the samples was 19 (30%), 16 (43%) and nine (39%)alleles, respectively, for P. edulis f. flavicarpa, P. cincinnata and P. alata. No allelic loss was observed forP. setacea, probably because only two polymorphic microsatellites were identified. In general, there aredifferences between S10 and S60 because of lost genetic variability on S10, indicating that the use of these10 individuals to represent the Passiflora species is insufficient for long-term preservation. In contrast,the bootstrap analysis revealed that the stability of the genetic parameters due to the increase in samplesize was close to 30, 23, 25 and 24 individuals for P. cincinnata, P. edulis f. flavicarpa, P. setacea and P. alata,respectively. The difference of genetic estimates between samples S10 and S60 demonstrated that 23?30individuals are the minimum range of population to represent the Passiflora species studied. This studymay optimize the strategies for conservation the Passiflora germplasm avoiding the under-representationof samples and consequent loss of genetic variability during sexual propagation.
650 $aMaracujá
653 $aPassionfruit
700 1 $aOLIVEIRA, E. J. de
700 1 $aJESUS, O. N. de
700 1 $aSOARES, T. L.
700 1 $aMARGARIDO, G. R. A.
773 $tScientia Horticulturae$gv., 212, p. 251-261, 2016.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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| Registros recuperados : 184 | |
| 181. |  | SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; GUBIANI, P. I.; OLIVEIRA, S. R. de M.; TEIXEIRA, W. G.; VIANA, J. H. M.; RIBEIRO, E.; TORNQUIST, C. G.; ANJOS, L. H. C. dos; SOUZA, J. J. E. L. de; OTTONI, M. V.; MEDEIROS, P. S. C. de; GRIS, D. J.; ROSIN, N. A.; BUENO, J. M. M.; SANTOS, H. G. dos; WEBER, E. J.; FLORES, C. A.; COSTA, E. M.; OLIVEIRA, R. P. de; FILIPPINI ALBA, J. M.; PEDROSO NETO, J. C.; PEDRON, F. de A.; CAVIGLIONE, J. H.; VALLADARES, G. S.; MIRANDA, C. S. S.; DEMATTÊ, J. A. M.; MARQUES JÚNIOR, J.; SIQUEIRA, D. S.; AQUINO, R. E. de; SILVERO, N. E. Q.; GENÚ, A. M.; BROETTO, T.; CANCIAN, L. C.; MIGUEL, P.; ZALAMENA, J.; DOTTO, A. C.; ALMEIDA, J. A. de; REICHERT.; CURCIO, G. R.; COLLIER, L. S.; CARVALHO JUNIOR, W. de; FONTANA, A.; OLIVEIRA, A. P. de; VOGELMANN, E. S.; MALLMANN, F. J. K.; VASQUES, G. de M.; LEPSCH, I. F.; FINK, J. R.; KER, J. C.; SILVA, L. S. da; FREITAS, P. L. de; BIELUCZYK, B.; TIECHER, T. Bringing together Brazilian soil scientists to share soil data. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 182. | | SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; GUBIANI, P. I.; OLIVEIRA, S. R. de M.; TEIXEIRA, W. G.; VIANA, J. H. M.; RIBEIRO, E.; TORNQUIST, C. G.; ANJOS, L. H. C. dos; SOUZA, J. J. E. L. de; OTTONI, M. V.; MEDEIROS, P. S. C. de; GRIS, D. J.; ROSIN, N. A.; BUENO, J. M. M.; SANTOS, H. G. dos; WEBER, E. J.; FLORES, C. A.; COSTA, E. M.; OLIVEIRA, R. P. de; FILIPPINI ALBA, J. M.; PEDROSO NETO, J. C.; PEDRON, F. de A.; CAVIGLIONE, J. H.; VALLADARES, G. S.; MIRANDA, C. S. S.; DEMATTÊ, J. A. M.; MARQUES JÚNIOR, J.; SIQUEIRA, D. S.; AQUINO, R. E. de; SILVERO, N. E. Q.; GENÚ, A. M.; BROETTO, T.; CANCIAN, L. C.; MIGUEL, P.; ZALAMENA, J.; DOTTO, A. C.; ALMEIDA, J. A. de; REICHERT.; CURCIO, G. R.; COLLIER, L. S.; CARVALHO JUNIOR, W. de; FONTANA, A.; OLIVEIRA, A. P. de; VOGELMANN, E. S.; MALLMANN, F. J. K.; VASQUES, G. de M.; LEPSCH, I. F.; FINK, J. R.; KER, J. C.; SILVA, L. S. da; FREITAS, P. L. de; BIELUCZYK, B.; TIECHER, T. Bringing together Brazilian soil scientists to share soil data. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Não paginado. WCSS 2018.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 183. | | SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; GUBIANI, P. I.; OLIVEIRA, S. R. de M.; TEIXEIRA, W. G.; VIANA, J. H. M.; RIBEIRO, E.; TORNQUIST, C. G.; ANJOS, L. H. C. dos; SOUZA, J. J. E. L. de; OTTONI, M. V.; MEDEIROS, P. S. C. de; GRIS, D. J.; ROSIN, N. A.; BUENO, J. M. M.; SANTOS, H. G. dos; WEBER, E. J.; FLORES, C. A.; COSTA, E. M.; OLIVEIRA, R. P. de; FILIPPINI ALBA, J. M.; PEDROSO NETO, J. C.; PEDRON, F. de A.; CAVIGLIONE, J. H.; VALLADARES, G. S.; MIRANDA, C. S. S.; DEMATTÊ, J. A. M.; MARQUES JÚNIOR, J.; SIQUEIRA, D. S.; AQUINO, R. E. de; SILVERO, N. E. Q.; GENÚ, A. M.; BROETTO, T.; CANCIAN, L. C.; MIGUEL, P.; ZALAMENA, J.; DOTTO, A. C.; ALMEIDA, J. A. de; REICHERT.; CURCIO, G. R.; COLLIER, L. S.; CARVALHO JUNIOR, W. de; FONTANA, A.; OLIVEIRA, A. P. de; VOGELMANN, E. S.; MALLMANN, F. J. K.; VASQUES, G. de M.; LEPSCH, I. F.; FINK, J. R.; KER, J. C.; SILVA, L. S. da; FREITAS, P. L. de; BIELUCZYK, B.; TIECHER, T. Bringing together Brazilian soil scientists to share soil data. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Não paginado. WCSS 2018.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
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| 184. | | LAHMAR, R.; ARRÚE, J. L.; DENARDIN, J. E.; GUPTA, R. K.; RIBEIRO, M. F. S.; TOURDONNET, S. de; ABROL, I. P.; BARZ, P.; BENITO, A. de; BIANCHINI, A.; BOLLIGER, A.; CANTERO-MARTÍNEZ, C.; CARDARELLI, A.; CHENU, C.; DÜRING, R. A.; FERNÁNDEZ, J. E.; FERREIRA, R.; FLORES, C. A.; FRIELINGHAUS, M.; TUAN, HA DINH; HUSSAIN, I.; KAVVADIAS, V.; KLIEMANN, H. J.; KOCHHANN, R. A.; KÖLLI, R.; KUBAT, J.; LAKTIONOVA, T.; LÓPES, M. V.; MAGID, J.; MEDVEDEV, V.; MENDES, I. C.; MICHELS, A.; MIRANDA, G. M.; MONTOYA, L.; MORENO, F.; MRABET, R.; MÜLLER, L.; MURILLO, J. M.; NAZARENO, N.; NETLAND, J.; NIELSEN, N. E.; NIEVES-MORTENSEN, C.; NOVAKOVA, J.; NOZIÈRES, A.; ONORATI, A.; PASCHALIDIS, C.; PAZ, C.; PEIRETTI, R.; PÉREZ DE CIRIZA, J. J.; PICARD, D.; PILLON, C. N.; POCHEPTSOVA, L.; QUILLET, J. C.; SANGAR, S.; SAULAS, P.; SCOPEL, E.; SKORA NETO, F.; SIMON, T.; SOMBRERO, A.; TENORIO, J. L.; TESSIER, D.; THINGGAARD, K.; TRIPATHI, S. C.; VANDEPUTTE, E.; WERRITY, J.; WILLMS, M.; ZAMBRANA, E.; ZERVAKIS, G. Knowledge assessment and sharing on sustainable agriculture. Synthesis report. In: LAHMAR, R.; ARRÚE, J. L.; DENARDIN, J. E.; GUPTA, R. K.; RIBEIRO, M. F. S.; TOURDONNET, S. de. (Ed.). KASSA - Knowledge Assessment and Sharing on Sustainable Agriculture. Montpellier: CIRAD, 2007. 132 p. 1 CD-ROM. Projeto DG-Research - Contract nº GOCE-CT-2004-505582.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Trigo. |
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| Registros recuperados : 184 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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