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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
14/08/2006 |
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Data da última atualização: |
23/09/2021 |
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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 mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
Genetics, v. 172, n. 2, p. 1165-1177, Feb. 2006. |
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DOI: |
https://doi.org/10.1534/genetics.105.044586 |
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Idioma: |
Inglês |
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Conteúdo: |
Association mapping is a method for detection of gene effects based on linkage disequilibrium (LD) that complements QTL analysis in the development of tools for molecular plant breeding. In this study, association mapping was performed on a selected sample of 95 cultivars of soft winter wheat. Population structure was estimated on the basis of 36 unlinked simple-sequence repeat (SSR) markers. The extent of LD was estimated on chromosomes 2D and part of 5A, relative to the LD observed among unlinked markers. Consistent LD on chromosome 2D was <1 cM, whereas in the centromeric region of 5A, LD extended for ~5 cM. Association of 62 SSR loci on chromosomes 2D, 5A, and 5B with kernel morphology and milling quality was analyzed through a mixed-effects model, where subpopulation was considered as a random factor and the marker tested was considered as a fixed factor. Permutations were used to adjust the threshold of significance for multiple testing within chromosomes. In agreement with previous QTL analysis, significant markers for kernel size were detected on the three chromosomes tested, and alleles potentially useful for selection were identified. Our results demonstrated that association mapping could complement and enhance previous QTL information for marker-assisted selection. |
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Palavras-Chave: |
Genetic analysis; Kernel morphology; Kernel quality. |
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Thesagro: |
Melhoramento Genético Vegetal; Trigo; Triticum Aestivum. |
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Thesaurus NAL: |
Hexaploidy; Wheat. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02040naa a2200241 a 4500
001 1194831
005 2021-09-23
008 2006 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1534/genetics.105.044586$2DOI
100 1 $aBRESEGHELLO, F.
245 $aAssociation mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars.$h[electronic resource]
260 $c2006
520 $aAssociation mapping is a method for detection of gene effects based on linkage disequilibrium (LD) that complements QTL analysis in the development of tools for molecular plant breeding. In this study, association mapping was performed on a selected sample of 95 cultivars of soft winter wheat. Population structure was estimated on the basis of 36 unlinked simple-sequence repeat (SSR) markers. The extent of LD was estimated on chromosomes 2D and part of 5A, relative to the LD observed among unlinked markers. Consistent LD on chromosome 2D was <1 cM, whereas in the centromeric region of 5A, LD extended for ~5 cM. Association of 62 SSR loci on chromosomes 2D, 5A, and 5B with kernel morphology and milling quality was analyzed through a mixed-effects model, where subpopulation was considered as a random factor and the marker tested was considered as a fixed factor. Permutations were used to adjust the threshold of significance for multiple testing within chromosomes. In agreement with previous QTL analysis, significant markers for kernel size were detected on the three chromosomes tested, and alleles potentially useful for selection were identified. Our results demonstrated that association mapping could complement and enhance previous QTL information for marker-assisted selection.
650 $aHexaploidy
650 $aWheat
650 $aMelhoramento Genético Vegetal
650 $aTrigo
650 $aTriticum Aestivum
653 $aGenetic analysis
653 $aKernel morphology
653 $aKernel quality
700 1 $aSORRELLS, M. E.
773 $tGenetics$gv. 172, n. 2, p. 1165-1177, Feb. 2006.
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