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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
06/03/2017 |
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Data da última atualização: |
06/03/2017 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
LARA, L. A. DE C.; SANTOS, M. F.; JANK, L.; CHIARI, L.; GARCIA, A. A. F. |
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Afiliação: |
LETÍCIA A. DE C. LARA, ESALQ/USP; MATEUS FIGUEIREDO SANTOS, CNPGC; LIANA JANK, CNPGC; LUCIMARA CHIARI, CNPGC; ANTONIO AUGUSTO F. GARCIA, ESALQ/USP. |
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Título: |
Modeling the variance-covariance matrix of genetic and residual effects in a Panicum maximum genome wide selection experiment. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 5., Madison, Wisconsin, USA, 2016. Proceedings... Madison, Wisconsin, USA: ICQG, 2016. |
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Idioma: |
Inglês |
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Conteúdo: |
Panicum maximum stands out among the tropical forage species due to its high biomass yield and excellent nutritional quality, providing high animal performance. The improvement of sexual plant population of P. maximum by recurrent selection increases the probability of releasing superior cultivars. In this work, we aimed to model variance-covariance matrices for genetic (G) and residual (R) effects in a spaced plant experiment to obtain adjusted means that will be used in a recurrent genomic selection program. |
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Palavras-Chave: |
Mixed models; Phenotypic data. |
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Thesaurus Nal: |
forage; plant breeding. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157120/1/Modeling-the-variance-covariance-matrix.pdf
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Marc: |
LEADER 01241nam a2200205 a 4500
001 2066188
005 2017-03-06
008 2016 bl uuuu u00u1 u #d
100 1 $aLARA, L. A. DE C.
245 $aModeling the variance-covariance matrix of genetic and residual effects in a Panicum maximum genome wide selection experiment.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 5., Madison, Wisconsin, USA, 2016. Proceedings... Madison, Wisconsin, USA: ICQG$c2016
520 $aPanicum maximum stands out among the tropical forage species due to its high biomass yield and excellent nutritional quality, providing high animal performance. The improvement of sexual plant population of P. maximum by recurrent selection increases the probability of releasing superior cultivars. In this work, we aimed to model variance-covariance matrices for genetic (G) and residual (R) effects in a spaced plant experiment to obtain adjusted means that will be used in a recurrent genomic selection program.
650 $aforage
650 $aplant breeding
653 $aMixed models
653 $aPhenotypic data
700 1 $aSANTOS, M. F.
700 1 $aJANK, L.
700 1 $aCHIARI, L.
700 1 $aGARCIA, A. A. F.
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Embrapa Gado de Corte (CNPGC) |
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