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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
26/08/2015 |
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Data da última atualização: |
12/04/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MARGARIDO, G. R. A.; PASTINA, M. M.; SOUZA, A. P.; GARCIA, A. A. F. |
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Afiliação: |
MARIA MARTA PASTINA, CNPMS. |
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Título: |
Multi-trait multi-environment quantitative trait loci mapping for a sugarcane commercial cross provides insights on the inheritance of important traits. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Molecular Breeding, Dordrecht, v. 35, n. 175, p. 1-15, 2015. |
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DOI: |
10.1007/s11032-015-0366-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Breeding trials typically consist of phenotypic observations for various traits evaluated in multiple environments. For sugarcane in particular, repeated measures are obtained for plant crop and one or more ratoons, such that joint analysis through mixed models for modeling heterogeneous genetic (co)variances between traits, locations and harvests is appropriate. This modeling approach also enables us to include molecular marker information, aiding in understanding the genetic architecture of quantitative traits. Our work aims at detecting QTL and QTL by environment interactions by fitting mixed models with. |
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Thesagro: |
Cana de açúcar; Melhoramento genético vegetal. |
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Categoria do assunto: |
-- |
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Marc: |
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024 7 $a10.1007/s11032-015-0366-6$2DOI
100 1 $aMARGARIDO, G. R. A.
245 $aMulti-trait multi-environment quantitative trait loci mapping for a sugarcane commercial cross provides insights on the inheritance of important traits.$h[electronic resource]
260 $c2015
520 $aBreeding trials typically consist of phenotypic observations for various traits evaluated in multiple environments. For sugarcane in particular, repeated measures are obtained for plant crop and one or more ratoons, such that joint analysis through mixed models for modeling heterogeneous genetic (co)variances between traits, locations and harvests is appropriate. This modeling approach also enables us to include molecular marker information, aiding in understanding the genetic architecture of quantitative traits. Our work aims at detecting QTL and QTL by environment interactions by fitting mixed models with.
650 $aCana de açúcar
650 $aMelhoramento genético vegetal
700 1 $aPASTINA, M. M.
700 1 $aSOUZA, A. P.
700 1 $aGARCIA, A. A. F.
773 $tMolecular Breeding, Dordrecht$gv. 35, n. 175, p. 1-15, 2015.
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