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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
005 2023-02-16
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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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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| 1. |  | REBOUÇAS, G. F.; GONÇALVES, T. M.; MARTINEZ, M. L.; AZEVEDO JÚNIOR, J.; KOOPS, W. Novas funções para estimar a produção de leite, em 305 dias de lactação, de vacas da raça Gir. Revista Brasileira de Zootecnia, Viçosa, MG, v. 37, n. 7, p. 1222-1229, 2008.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
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| 3. | | AZEVEDO JUNIOR, J.; GONÇALVES, T. de M.; SOUZA, J. C. de; RODRIGUEZ, M. A. P.; COSTA, C. N.; CARVALHEIRA, J. G. V. Adjustment of lactation curves of Holstein cows from herds of Minas Gerais, Brazil. Journal of Agricultural Science, v. 10, n. 2, 2018. 14 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
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