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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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| Registros recuperados : 48 | |
| 8. |  | NEVES, L. G.; PAPPAS JUNIOR, G. J.; PAQUALI, G.; KIRST, M.; GRATTAPAGLIA, D. Advancing to a high density gene-rich map based on single feature polymorphisms in tropical eucalyptus. In: INTERNATIONAL PLANT & ANIMAL GENOMES CONFERENCE, 17., 2009, San Diego, CA. [Proceedings...]. [S. l.: s.n.], 2009. W185| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | BRONDANI, R. P. V.; GAIOTTO, F. A.; MISSIAGGIA, A. A.; KIRST, M.; GRIBELS, R.; GRATTAPAGLIA, D. Microsatellite markers for Ceiba pentandra (Bombacaceae), an endangered tree species of the amazon forest Molecular Ecology Notes, v.3, p.177-179, 2003.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | PROSDOCIMI, P; BITTENCOURT, D.; SILVA, F. R. da; KIRST, M.; MOTA, P. C.; RECH, E. L. Spinning gland transcriptomics from two main Clades of Spiders (Order: Araneae) - insights on their molecular, anatomical and behavioral evolution. Plos One, San Francisco, v. 6, n. 6, p. 1-15, June 2011.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Amazônia Ocidental; Embrapa Recursos Genéticos e Biotecnologia. |
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| 13. | | MUNOZ, P.; RESENDE JUNIOR, M.; RESENDE, M. D. V. de; GEZAN, S.; KIRST, M.; PETER, G. The re-discovery of the dominance variation by using the observed relationship matrix and itis implications in breeding. In: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 4., 2012, Edinburgh. Understanding Variation in Complex Traits. . [S.l.: s.n], 2012. Poster abstracts. P-367.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 14. | | GRATTAPAGLIA, D.; NOVAES, E.; PAPPAS, G. J.; PASQUALI, G.; KIRST, M. Single feature polymorphism discovery and validation in Eucalyptus by pseudo-testcross inheritance and mapping. In: THE INTERNATIONAL CONFERENCE ON THE STATUS OF PLANT & ANIMAL GENOME RESEARCH, 16., 2008, San Diego. Final abstracts guide. San Diego, 2008, W172.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 17. | | MISSIAGGIA, A. A.; KIRST, M.; SILVEIRA, F. Q.; GAIOTTO, F. A.; BRONDANI, R. P. V.; GRIBEL, R.; GRATTAPAGLIA, D. Análise da herança de locos microsatélites marcados com fluorescência em sumaúma (Ceiba pentandra) e estimativa de fecundação cruzada em populações naturais. In: WORKSHOP DO TALENTO ESTUDANTIL DA EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA, 4., 1999, Brasília. Anais: resumos dos trabalhos. Brasília, DF: EMBRAPA-CENARGEN, 1999. p. 67.| Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 18. | | NOVAES, E.; DROST, D. R.; FARMERIE, W. G.; PAPPAS JUNIOR, G. J.; GRATTAPAGLIA, D.; SEDEROFF, R. R.; KIRST, M. High-throughput gene and SNP discovery in Eucalyptus grandis, an uncharacterized genome. BMC Genomic, v.9, p. 312, 2008.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 20. | | RIOS, E.; RESENDE, M.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. E. de; MUNOZ, P. Predictive ability of Genomic Estimated Family Values (GEFV). In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego. [Abstracts...]. San Diego: [s.n.], 2016. Pôster P1186.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 48 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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