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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
18/01/2017 |
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Data da última atualização: |
18/01/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ALMEIDA FILHO, J. E. de; GUIMARÃES, J. F. R.; SILVA, F. F. e; RESENDE, M. D. V. de; MUÑOZ, P.; KIRST, M.; RESENDE JUNIOR, M. F. R. |
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Afiliação: |
J. E. de Almeida Filho, University of Florida; J. F. R. Guimarães, University of Florida; F. F. e SILVA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; P. Muñoz, University of Florida; M. Kirst, University of Florida; M. F. R. Resende JUnior, RAPiD Genomics LLC. |
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Título: |
The contribution of dominance to phenotype prediction in a pine breeding and simulated population. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Heredity, v. 117, p. 33-41, July 2016. |
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DOI: |
10.1038/hdy.2016.23 |
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Idioma: |
Inglês |
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Conteúdo: |
Pedigrees and dense marker panels have been used to predict the genetic merit of individuals in plant and animal breeding, accounting primarily for the contribution of additive effects. However, nonadditive effects may also affect trait variation in many breeding systems, particularly when specific combining ability is explored. Here we used models with different priors, and including additive-only and additive plus dominance effects, to predict polygenic (height) and oligogenic (fusiform rust resistance) traits in a structured breeding population of loblolly pine (Pinus taeda L.). Models were largely similar in predictive ability, and the inclusion of dominance only improved modestly the predictions for tree height. Next, we simulated a genetically similar population to assess the ability of predicting polygenic and oligogenic traits controlled by different levels of dominance. The simulation showed an overall decrease in the accuracy of total genomic predictions as dominance increases, regardless of the method used for prediction. Thus, dominance effects may not be accounted for as effectively in prediction models compared with traits controlled by additive alleles only. When the ratio of dominance to total phenotypic variance reached 0.2, the additive?dominance prediction models were significantly better than the additive-only models. However, in the prediction of the subsequent progeny population, this accuracy increase was only observed for the oligogenic trait. |
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Thesagro: |
Árvore conífera. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153479/1/2016-M.Deon-H-TheContribution.pdf
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Marc: |
LEADER 02158naa a2200217 a 4500
001 2061094
005 2017-01-18
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1038/hdy.2016.23$2DOI
100 1 $aALMEIDA FILHO, J. E. de
245 $aThe contribution of dominance to phenotype prediction in a pine breeding and simulated population.$h[electronic resource]
260 $c2016
520 $aPedigrees and dense marker panels have been used to predict the genetic merit of individuals in plant and animal breeding, accounting primarily for the contribution of additive effects. However, nonadditive effects may also affect trait variation in many breeding systems, particularly when specific combining ability is explored. Here we used models with different priors, and including additive-only and additive plus dominance effects, to predict polygenic (height) and oligogenic (fusiform rust resistance) traits in a structured breeding population of loblolly pine (Pinus taeda L.). Models were largely similar in predictive ability, and the inclusion of dominance only improved modestly the predictions for tree height. Next, we simulated a genetically similar population to assess the ability of predicting polygenic and oligogenic traits controlled by different levels of dominance. The simulation showed an overall decrease in the accuracy of total genomic predictions as dominance increases, regardless of the method used for prediction. Thus, dominance effects may not be accounted for as effectively in prediction models compared with traits controlled by additive alleles only. When the ratio of dominance to total phenotypic variance reached 0.2, the additive?dominance prediction models were significantly better than the additive-only models. However, in the prediction of the subsequent progeny population, this accuracy increase was only observed for the oligogenic trait.
650 $aÁrvore conífera
700 1 $aGUIMARÃES, J. F. R.
700 1 $aSILVA, F. F. e
700 1 $aRESENDE, M. D. V. de
700 1 $aMUÑOZ, P.
700 1 $aKIRST, M.
700 1 $aRESENDE JUNIOR, M. F. R.
773 $tHeredity$gv. 117, p. 33-41, July 2016.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agropecuária Oeste. |
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Data corrente: |
30/05/2007 |
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Data da última atualização: |
27/07/2011 |
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Tipo da produção científica: |
Boletim de Pesquisa e Desenvolvimento |
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Autoria: |
MERCANTE, F. M.; OTSUBO, A. A.; SILVA, R. F. da; HERNANI, L. C.; OLIVEIRA, H. de. |
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Título: |
Monitoramento de parâmetros microbiológicos em áreas manejadas sob plantio direto na Bacia Hidrográfica do Alto Taquari, MS. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
Dourados: Embrapa Agropecuária Oeste, 2006. |
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Páginas: |
21 p. |
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Série: |
Embrapa Agropecuária Oeste. Boletim de pesquisa e desenvolvimento, 38) |
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Idioma: |
Português |
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Notas: |
Documento on-line. |
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Conteúdo: |
Este estudo visou o monitoramento de parâmetros microbiológicos, especialmente a biomassa microbiana e sua atividade, como bioindicadores da qualidade do solo em propriedades agrícolas manejadas sob sistema plantio direto na Bacia do Alto Taquari. |
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Palavras-Chave: |
Biomassa microbiana. |
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Thesagro: |
Bacia Hidrográfica; Manejo do Solo. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/38730/1/BP200638.pdf
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Marc: |
LEADER 00999nam a2200229 a 4500
001 1254215
005 2011-07-27
008 2006 bl uuuu u0uu1 u #d
100 1 $aMERCANTE, F. M.
245 $aMonitoramento de parâmetros microbiológicos em áreas manejadas sob plantio direto na Bacia Hidrográfica do Alto Taquari, MS.
260 $aDourados: Embrapa Agropecuária Oeste$c2006
300 $a21 p.
490 $aEmbrapa Agropecuária Oeste. Boletim de pesquisa e desenvolvimento, 38)
500 $aDocumento on-line.
520 $aEste estudo visou o monitoramento de parâmetros microbiológicos, especialmente a biomassa microbiana e sua atividade, como bioindicadores da qualidade do solo em propriedades agrícolas manejadas sob sistema plantio direto na Bacia do Alto Taquari.
650 $aBacia Hidrográfica
650 $aManejo do Solo
653 $aBiomassa microbiana
700 1 $aOTSUBO, A. A.
700 1 $aSILVA, R. F. da
700 1 $aHERNANI, L. C.
700 1 $aOLIVEIRA, H. de
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Registro original: |
Embrapa Agropecuária Oeste (CPAO) |
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