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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
04/10/2011 |
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Data da última atualização: |
16/02/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. |
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Afiliação: |
DARIO GRATTAPAGLIA, CENARGEN; MARCOS DEON VILELA DE RESENDE, CNPF; Marcio F. R. Resende, UFV; Carolina P. Sansaloni, UnB; Cesar D. Petroli, UnB; Alexandre A. Missiaggia, FIBRIA; Elisabete K. Takahashi, CENIBRA; Karina C. Zamprogno, VERACEL; Andrzej Kilian, DArT - Diversity Arrays Technology. |
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Título: |
High realized accuracies of genomic selection for volume growth and wood density in Eucalyptus breeding populations with contrasting effective sizes. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOMES CONFERENCE, 19., 2011, San Diego. Conference... [S.l.]: International Plant & Animal Genome, 2011. |
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Idioma: |
Inglês |
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Notas: |
Abstract. W235: Forest Trees. |
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Conteúdo: |
Genomic Selection (GS) will likely cause a paradigm shift in tree breeding due to the prospects of radically increasing gain per unit time and improving selection accuracy. Deterministic simulations show GEBV (Genome Estimated Breeding Values) accuracies matching or exceeding phenotypic BLUP-based-accuracy (0.68) even with low-density marker panels (2-3 markers/centiMorgan) in breeding populations with effective sizes Ne ? 60. Furthermore, a GS-based reduction in breeding cycle time by 50% should provide a gain ?100% in selection efficiency for low heritability traits (Grattapaglia&Resende, 2010; DOI: 10.1007/s11295-010-0328-4). We now report on experimentally realized accuracies of GS for three key traits in Eucalyptus in two breeding populations (CEN and FIB) with contrasting effective sizes (Ne= 11 and Ne= 120). Genotypes at ~3,500 DArT markers and de-regressed phenotypes for Height (H), Diameter at Breast Height (DBH) and wood density (WD) (age 4yr.) were obtained for 783 and 920 random trees from CEN and FIB respectively. Sets of 700 and 838 trees for CEN and FIB were used for training and the remaining trees for validation in a jackknifing scheme. Realized GEBV accuracies for H, DBH and WD were 0.67,0.69 and 0.54 for CEN and 0.62,0.54 and 0.53 for FIB respectively. Accuracies matched and slightly surpassed expectations from simulations for FIB, possibly due to its hybrid composition. GEBV accuracies were low (zero to 0.18) across populations suggesting that population specific GS models will be necessary. These are the first experimental results of GS in forest trees and among the first public ones in plant breeding. MenosGenomic Selection (GS) will likely cause a paradigm shift in tree breeding due to the prospects of radically increasing gain per unit time and improving selection accuracy. Deterministic simulations show GEBV (Genome Estimated Breeding Values) accuracies matching or exceeding phenotypic BLUP-based-accuracy (0.68) even with low-density marker panels (2-3 markers/centiMorgan) in breeding populations with effective sizes Ne ? 60. Furthermore, a GS-based reduction in breeding cycle time by 50% should provide a gain ?100% in selection efficiency for low heritability traits (Grattapaglia&Resende, 2010; DOI: 10.1007/s11295-010-0328-4). We now report on experimentally realized accuracies of GS for three key traits in Eucalyptus in two breeding populations (CEN and FIB) with contrasting effective sizes (Ne= 11 and Ne= 120). Genotypes at ~3,500 DArT markers and de-regressed phenotypes for Height (H), Diameter at Breast Height (DBH) and wood density (WD) (age 4yr.) were obtained for 783 and 920 random trees from CEN and FIB respectively. Sets of 700 and 838 trees for CEN and FIB were used for training and the remaining trees for validation in a jackknifing scheme. Realized GEBV accuracies for H, DBH and WD were 0.67,0.69 and 0.54 for CEN and 0.62,0.54 and 0.53 for FIB respectively. Accuracies matched and slightly surpassed expectations from simulations for FIB, possibly due to its hybrid composition. GEBV accuracies were low (zero to 0.18) across populations suggesting that population ... Mostrar Tudo |
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Palavras-Chave: |
Melhoramento genético; Seleção genômica. |
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Thesaurus Nal: |
Eucalyptus. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/40976/1/2011-RAC-M.Deon-PAG-XIX-HighRealized-1.pdf
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Marc: |
LEADER 02562nam a2200253 a 4500
001 1902325
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008 2011 bl uuuu u01u1 u #d
100 1 $aGRATTAPAGLIA, D.
245 $aHigh realized accuracies of genomic selection for volume growth and wood density in Eucalyptus breeding populations with contrasting effective sizes.$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOMES CONFERENCE, 19., 2011, San Diego. Conference... [S.l.]: International Plant & Animal Genome$c2011
500 $aAbstract. W235: Forest Trees.
520 $aGenomic Selection (GS) will likely cause a paradigm shift in tree breeding due to the prospects of radically increasing gain per unit time and improving selection accuracy. Deterministic simulations show GEBV (Genome Estimated Breeding Values) accuracies matching or exceeding phenotypic BLUP-based-accuracy (0.68) even with low-density marker panels (2-3 markers/centiMorgan) in breeding populations with effective sizes Ne ? 60. Furthermore, a GS-based reduction in breeding cycle time by 50% should provide a gain ?100% in selection efficiency for low heritability traits (Grattapaglia&Resende, 2010; DOI: 10.1007/s11295-010-0328-4). We now report on experimentally realized accuracies of GS for three key traits in Eucalyptus in two breeding populations (CEN and FIB) with contrasting effective sizes (Ne= 11 and Ne= 120). Genotypes at ~3,500 DArT markers and de-regressed phenotypes for Height (H), Diameter at Breast Height (DBH) and wood density (WD) (age 4yr.) were obtained for 783 and 920 random trees from CEN and FIB respectively. Sets of 700 and 838 trees for CEN and FIB were used for training and the remaining trees for validation in a jackknifing scheme. Realized GEBV accuracies for H, DBH and WD were 0.67,0.69 and 0.54 for CEN and 0.62,0.54 and 0.53 for FIB respectively. Accuracies matched and slightly surpassed expectations from simulations for FIB, possibly due to its hybrid composition. GEBV accuracies were low (zero to 0.18) across populations suggesting that population specific GS models will be necessary. These are the first experimental results of GS in forest trees and among the first public ones in plant breeding.
650 $aEucalyptus
653 $aMelhoramento genético
653 $aSeleção genômica
700 1 $aRESENDE, M. D. V. de
700 1 $aRESENDE, M. F. R.
700 1 $aSANSALONI, C. P.
700 1 $aPETROLI, C. D.
700 1 $aMISSIAGGIA, A. A.
700 1 $aTAKAHASHI, E. K.
700 1 $aZAMPROGNO, K. C.
700 1 $aKILIAN, A.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Biblioteca |
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| Registros recuperados : 32 | |
| 21. |  | GRATTAPAGLIA, D.; SANSALONI, C.; PETROLI, C.; RESENDE JÚNIOR, M. F.; FARIA, D.; MISSIAGGIA, A. A.; TAKAHASHI. E. K.; ZAMPROGNO, K.; KILIAN, A.; RESENDE, M. D. V. de. Realized accuracies of Genomic Selection for volume growth in tropical Eucalyptus: marker assisted selection coming to reality in forest trees. In: CONGRESSO BRASILEIRO DE GENÉTICA, 56., 2010, Guarujá. Resumos... [Curitiba]: UFPR, 2010. p. 192.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 22. | | AZEVEDO, C. F.; ABAD, J. I. M.; MISSIAGGIA, A. A.; AGUIAR, A. M.; RESENDE, M. D. V. de; SILVA, F. F. e.; PEREIRA, C. S. Parametrizações em marcadores dominantes DarTs para características de crescimento de eucalipto. Revista Matemática e Estatística em foco, v. 1, n. 2, 2013. Edição especial dos anais do Encontro Mineiro de Estatística, 12., 2013, Uberlândia. Resumo.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 23. | | GRATTAPAGLIA, D.; NOVAES, E.; MAMANI, E. M.; MISSIAGGIA, A. A.; PAPPAS, M. C. R.; BRONDANI, R. P. V.; PÁDUA, J. G.; COELHO, A. S. G. Wood quality QTLs: detection and validation across multiple pedigrees of eucalyptus. In: CONGRESSO BRASILEIRO DE GENÉTICA, 52., 2006, Foz do Iguaçu, PR. Resumos... Ribeirão Preto, SP: Sociedade Brasileira de Genética, 2006. p. 1051.| Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 24. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERLOTINI, A.; SILVA, F. R. da. RNA-seq analysis of Eucalyptus genotypes that differ in carbon allocation. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY; STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS CONFERENCE MEETING, 8., 2012, Long Beach, California. Abstracts... [S.l.: s.n.], 2012. Não paginado. 1 Poster. ISMB 2012. Poster G19. Também publicado em: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Não paginado....| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 25. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F. P.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERLOTINI, A.; SILVA, F. R. da. RNA-seq analysis of Eucalyptus genotypes that differ in carbon allocation. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY; STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS CONFERENCE MEETING, 8., 2012, Long Beach, California. Abstracts. 1 Pôster. Poster G19.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Florestas. |
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| 26. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F. P.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERTOLINI, A.; SILVA, F. R. da. RNA-Seq Analysis of Eucalyptus Genotypes that Differ in Carbon Allocation. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book. [S.l.: s.n.], 2012.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 27. | | GERHARDT, I. R.; ZERLOTINI, A.; GIACHETTO, P. F.; SILVA, F. R. da; LOBO, F.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ARICETTI, J. A.; GIANOTTO, A. C.; CALDANA, C. Understanding molecular mechanisms of carbon allocation in Eucalyptus. In: INTERNATIONAL CONGRESS OF PLANT MOLECULAR BIOLOGY, 11., 2015, Iguassu Falls. Papers... [S.l.: s.n.], 2015. p. 514. p. 0551. IPMB 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 28. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Breeding by genomic selection: capturing the missing heritability of complex traits in forest trees. In: NEW PHYTOLOGIST SYMPOSIUM, 26., 2011, Nancy. Bioenergy trees. [S.l.]: INRA, 2011. p. 9.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 29. | | GRATTAPAGLIA, D.; RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A. Breeding by genomic selection: capturing the missing heritability of complex traits in forest trees. In: NEW PHYTOLOGIST SYMPOSIUM, 26., 2011, Nancy. Bioenergy trees. [S.l.]: INRA, 2011. p. 9.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 30. | | GRATTAPAGLIA, D.; SANSALONI, C. P.; PETROLI, C. D.; RESENDE JUNIOR, M. F. R.; FARIA, D. A.; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ZAMPROGNO, K. C.; KILIAN, A.; RESENDE, M. D. V. de. Genomic selection in Eucalyptus: marker assisted selection coming to reality in forest trees. In: PLANT & ANIMAL GENOMES CONFERENCE, 18., 2010, San Diego. Resumos.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 31. | | GRATTAPAGLIA, D.; SANSALONI, C. P.; PETROLI, C. D.; FARIA, D. A. de; MISSIAGGIA, A. A.; TAKAHASHI, E. K.; ROSSE, L. N.; PAPPAS JUNIOR, G. J.; RESENDE, M. D. V. de. Quantitative genetics and breeding: from phenotype dissection to genomic selection in Eucalyptus breeding. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2009, Whislter. Abstracts. [S.l.]: IUFRO, 2009. p. 13| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 32. | | RESENDE, M. D. V. de; RESENDE JUNIOR, M. F. R.; SANSALONI, C. P.; PETROLI, C. D.; MISSIAGGIA, A. A.; AGUIAR, A. M.; ABAD, J. M.; TAKAHASHI, E. K.; ROSADO, A. M.; FARIA, D. A.; PAPPAS JUNIOR, G. J.; KILIAN, A.; GRATTAPAGLIA, D. Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. New Phytologist, v. 194, p. 116-128, 2012.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 32 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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