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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
09/10/2006 |
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Data da última atualização: |
14/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BRESEGHELLO, F.; SORRELLS, M. E. |
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Afiliação: |
FLAVIO BRESEGHELLO, CNPAF; MARK E. SORRELLS. |
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Título: |
Association analysis as a strategy for improvement of quantitative traits in plants. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
Crop Science, v. 46, n. 3, p. 1323-1330, May/June 2006. |
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DOI: |
https://doi.org/10.2135/cropsci2005.09-0305 |
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Idioma: |
Inglês |
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Conteúdo: |
Association analysis is a method potentially useful for detection of marker-trait associations based on linkage disequilibrium, but little information is available on the application of this technique to plant breeding populations. With appropriate statistical methods, valid association analysis can be done in plant breeding populations; however, the most significant marker may not be closest to the functional gene. Bias can arise from (i) covariance among markers and QTL, frequently related to population structure or intense selection and (ii) differences in initial frequencies of marker alleles in the population, such that exclusive alleles tend to be in higher association. The potentials and limitations of germplasm bank collections, synthetic populations, and elite germplasm are compared, as experimental materials for association analysis integrated with plant breeding practice. Synthetics offer a favorable balance of power and precision for association analysis and would allow mapping of quantitative traits with increasing resolution through cycles of intermating. A model to describe the association between markers and genes as conditional probabilities in synthetic populations under recurrent selection is proposed, which can be computed on the basis of assumptions related to the history of the population. This model is useful for predicting the potential of different populations for association analysis and forecasting the response to marker-assisted selection. |
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Palavras-Chave: |
Association analysis; Linkage; Mapping. |
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Thesagro: |
Melhoramento; Planta. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02113naa a2200205 a 4500
001 1205095
005 2022-05-14
008 2006 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.2135/cropsci2005.09-0305$2DOI
100 1 $aBRESEGHELLO, F.
245 $aAssociation analysis as a strategy for improvement of quantitative traits in plants.$h[electronic resource]
260 $c2006
520 $aAssociation analysis is a method potentially useful for detection of marker-trait associations based on linkage disequilibrium, but little information is available on the application of this technique to plant breeding populations. With appropriate statistical methods, valid association analysis can be done in plant breeding populations; however, the most significant marker may not be closest to the functional gene. Bias can arise from (i) covariance among markers and QTL, frequently related to population structure or intense selection and (ii) differences in initial frequencies of marker alleles in the population, such that exclusive alleles tend to be in higher association. The potentials and limitations of germplasm bank collections, synthetic populations, and elite germplasm are compared, as experimental materials for association analysis integrated with plant breeding practice. Synthetics offer a favorable balance of power and precision for association analysis and would allow mapping of quantitative traits with increasing resolution through cycles of intermating. A model to describe the association between markers and genes as conditional probabilities in synthetic populations under recurrent selection is proposed, which can be computed on the basis of assumptions related to the history of the population. This model is useful for predicting the potential of different populations for association analysis and forecasting the response to marker-assisted selection.
650 $aMelhoramento
650 $aPlanta
653 $aAssociation analysis
653 $aLinkage
653 $aMapping
700 1 $aSORRELLS, M. E.
773 $tCrop Science$gv. 46, n. 3, p. 1323-1330, May/June 2006.
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Embrapa Arroz e Feijão (CNPAF) |
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| 1. |  | ROCHA, T. T.; LAMEIRA, O. A.; RAMOS, T. de J. N.; BATISTA, A. da S. Propagação vegetativa do pariri (Arrabidaea chica). In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA, 14., 2010, Belém, PA. Bolsista de iniciação científica: um aporte ao desenvolvimento da pesquisa agropecuária: anais. Belém, PA: Embrapa Amazônia Oriental, 2010. 1 CD-ROM. PIBIC 2010.| Tipo: Artigo em Anais de Congresso |
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