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| Registros recuperados : 579 | |
| 20. |  | FERREIRA, M. E.; RANGEL, P. H. N. Melhoramento genético preventivo: obtenção de estoques genéticos resistentes a pragas quarentenárias de alto risco para a agricultura brasileira. In: SUGAYAMA, R. L.; SILVA, M. L. da; SILVA, S. X. de B.; RIBEIRO, L. C.; RANGEL, L. E. P. (Ed.). Defesa vegetal: fundamentos, ferramentas, políticas e perspectivas Belo Horizonte: SBDA - Sociedade Brasileira de Defesa Agropecuária, 2015. p. 275-288.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 579 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
22/12/2008 |
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Data da última atualização: |
02/06/2022 |
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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: |
ALLCOCHETE, A. A. N.; RANGEL, P. H. N.; FERREIRA, M. E. |
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Afiliação: |
A. A. N. ALLCOCHETE, UNIVERSIDADE AGOSTINHO NETO, LUANDA-ANGOLA; PAULO HIDEO NAKANO RANGEL, CNPAF; MARCIO ELIAS FERREIRA, CENARGEN. |
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Título: |
Genetic structure of rice samples from a germplasm bank. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Scientific Research and Essays, Lagos, v. 3, n. 12, p. 577-598, Dec. 2008. |
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ISSN: |
1992-2248 |
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Idioma: |
Inglês |
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Conteúdo: |
The analysis of genetic relationships in crop species is an important component of crop improvement programs, as it serves to provide information about genetic diversity. Accurate assessment of levels and patterns of genetic diversity can be invaluable in crop breeding for diverse applications such as analysis of genetic variability in cultivars, identifying diverse parental combinations to create segregating progenies with maximum genetic variability for further selection, and introgressing desirable genes from diverse germplasm into the available genetic base. In this study, three multiplex panels of fluorescent microsatellite markers were used for automated genotyping of 298 rice accessions, part of it collected in different areas of Brazil and conserved in a genbank. Sixteen marker loci distributed throughout the rice genome were genotyped and the data used to estimate pairwise genetic distances between the accessions. A Neighbour-Joining based dendrogram was used as model to define clusters and infer possible genetic structuring of the collection. The analysis of the genetic relationships of these accessions suggested no significant correlation between clustering based on distance data and subpopulaition differentiation based on MCMC approach. The estimates of Wright's F-statistics revealed a high value of inbreeding coefficient (FIS) and a relatively high overall fixation index (FIT) but only moderate levels genetic differentiation (FST) of subpopulations defined according to the genetic distance clustering model. It is possible that the use of germplasm conserved in rice germplasm collections could be enhanced if molecular characterization and population genetics approaches could be more intensively applied to better define the sample of accessions which would be more appropriately suited to different genetic and breeding purposes. MenosThe analysis of genetic relationships in crop species is an important component of crop improvement programs, as it serves to provide information about genetic diversity. Accurate assessment of levels and patterns of genetic diversity can be invaluable in crop breeding for diverse applications such as analysis of genetic variability in cultivars, identifying diverse parental combinations to create segregating progenies with maximum genetic variability for further selection, and introgressing desirable genes from diverse germplasm into the available genetic base. In this study, three multiplex panels of fluorescent microsatellite markers were used for automated genotyping of 298 rice accessions, part of it collected in different areas of Brazil and conserved in a genbank. Sixteen marker loci distributed throughout the rice genome were genotyped and the data used to estimate pairwise genetic distances between the accessions. A Neighbour-Joining based dendrogram was used as model to define clusters and infer possible genetic structuring of the collection. The analysis of the genetic relationships of these accessions suggested no significant correlation between clustering based on distance data and subpopulaition differentiation based on MCMC approach. The estimates of Wright's F-statistics revealed a high value of inbreeding coefficient (FIS) and a relatively high overall fixation index (FIT) but only moderate levels genetic differentiation (FST) of subpopulations defined accor... Mostrar Tudo |
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Palavras-Chave: |
Genetic diversity; Microssatélite; multiplex genotyping. |
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Thesagro: |
Arroz; Banco de Germoplasma; Oryza Sativa; Variação Genética. |
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Thesaurus NAL: |
rice. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/110123/1/alcoc.pdf
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Marc: |
LEADER 02594naa a2200253 a 4500
001 1217667
005 2022-06-02
008 2008 bl uuuu u00u1 u #d
022 $a1992-2248
100 1 $aALLCOCHETE, A. A. N.
245 $aGenetic structure of rice samples from a germplasm bank.$h[electronic resource]
260 $c2008
520 $aThe analysis of genetic relationships in crop species is an important component of crop improvement programs, as it serves to provide information about genetic diversity. Accurate assessment of levels and patterns of genetic diversity can be invaluable in crop breeding for diverse applications such as analysis of genetic variability in cultivars, identifying diverse parental combinations to create segregating progenies with maximum genetic variability for further selection, and introgressing desirable genes from diverse germplasm into the available genetic base. In this study, three multiplex panels of fluorescent microsatellite markers were used for automated genotyping of 298 rice accessions, part of it collected in different areas of Brazil and conserved in a genbank. Sixteen marker loci distributed throughout the rice genome were genotyped and the data used to estimate pairwise genetic distances between the accessions. A Neighbour-Joining based dendrogram was used as model to define clusters and infer possible genetic structuring of the collection. The analysis of the genetic relationships of these accessions suggested no significant correlation between clustering based on distance data and subpopulaition differentiation based on MCMC approach. The estimates of Wright's F-statistics revealed a high value of inbreeding coefficient (FIS) and a relatively high overall fixation index (FIT) but only moderate levels genetic differentiation (FST) of subpopulations defined according to the genetic distance clustering model. It is possible that the use of germplasm conserved in rice germplasm collections could be enhanced if molecular characterization and population genetics approaches could be more intensively applied to better define the sample of accessions which would be more appropriately suited to different genetic and breeding purposes.
650 $arice
650 $aArroz
650 $aBanco de Germoplasma
650 $aOryza Sativa
650 $aVariação Genética
653 $aGenetic diversity
653 $aMicrossatélite
653 $amultiplex genotyping
700 1 $aRANGEL, P. H. N.
700 1 $aFERREIRA, M. E.
773 $tScientific Research and Essays, Lagos$gv. 3, n. 12, p. 577-598, Dec. 2008.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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