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Registro Completo |
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
20/11/2009 |
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Data da última atualização: |
26/01/2011 |
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Autoria: |
AGUIAR, F. S. |
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Título: |
O relacionamento da Embrapa Meio-Norte com a imprensa de Teresina em 2007. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
2008. |
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Páginas: |
50 f. |
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Idioma: |
Português |
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Notas: |
Monografia (Especialista em Gestão em Processos Comunicativos) - Universidade Federal do Piauí, Teresina. |
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Conteúdo: |
O objetivo geral deste estudo de caso foi identificar, com informações precisas, os motivos pelos quais o noticiário institucional da Embrapa Meio-Norte é pouco aproveitado pela mídia impressa de Teresina. |
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Palavras-Chave: |
Comunicação social. |
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Thesagro: |
Jornalismo; Pesquisa. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00733nam a2200169 a 4500
001 1575586
005 2011-01-26
008 2008 bl uuuu m 00u1 u #d
100 1 $aAGUIAR, F. S.
245 $aO relacionamento da Embrapa Meio-Norte com a imprensa de Teresina em 2007.
260 $a2008.$c2008
300 $a50 f.
500 $aMonografia (Especialista em Gestão em Processos Comunicativos) - Universidade Federal do Piauí, Teresina.
520 $aO objetivo geral deste estudo de caso foi identificar, com informações precisas, os motivos pelos quais o noticiário institucional da Embrapa Meio-Norte é pouco aproveitado pela mídia impressa de Teresina.
650 $aJornalismo
650 $aPesquisa
653 $aComunicação social
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Registro original: |
Embrapa Meio-Norte (CPAMN) |
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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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