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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
24/10/2012 |
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Data da última atualização: |
16/02/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
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. |
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Afiliação: |
MARCOS DEON VILELA DE RESENDE, CNPF; MÁRCIO F. R. RESENDE, UFV; CAROLINA P. SANSALONI, UnB; CESAR D. PETROLI, UnB; Alexandre A. Missiaggia, 5 FIBRIA Celulose; Aurelio M. Aguiar, FIBRIA Celulose; JUPITER M. ABAD, FIBRIA CELULOSE S. A.; ELIZABETE K. TAKAHASHI, CENIBRA CELULOSE NIPO BRASILEIRA S. A.; ANTONIO M. ROSADO, CENIBRA CELULOSE NIPO BRASILEIRA S. A.; DANIELLE A. FARIA, CENARGEN; GEORGIOS JOANNIS PAPPAS JUNIOR, CENARGEN; ANDRZEJ KILIAN, DIVERSITY ARRAYS TECHNOLOGY; DARIO GRATTAPAGLIA, CENARGEN. |
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Título: |
Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
New Phytologist, v. 194, p. 116-128, 2012. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) is expected to cause a paradigm shift in tree breeding by improving its speed and efficiency. By fitting all the genome-wide markers concurrently, GS can capture most of the ?missing heritability? of complex traits that quantitative trait locus (QTL) and association mapping classically fail to explain. Experimental support of GS is now required. The effectiveness of GS was assessed in two unrelated Eucalyptus breeding populations with contrasting effective population sizes (Ne = 11 and 51) genotyped with > 3000 DArT markers. Prediction models were developed for tree circumference and height growth, wood specific gravity and pulp yield using random regression best linear unbiased predictor (BLUP). Accuracies of GS varied between 0.55 and 0.88, matching the accuracies achieved by conventional phenotypic selection. Substantial proportions (74?97%) of trait heritability were captured by fitting all genome-wide markers simultaneously. Genomic regions explaining trait variation largely coincided between populations, although GS models predicted poorly across populations, likely as a result of variable patterns of linkage disequilibrium, inconsistent allelic effects and genotype environment interaction. GS brings a new perspective to the understanding of quantitative trait variation in forest trees and provides a revolutionary tool for applied tree improvement. Nevertheless population- specific predictive models will likely drive the initial applications of GS in forest tree breeding. MenosGenomic selection (GS) is expected to cause a paradigm shift in tree breeding by improving its speed and efficiency. By fitting all the genome-wide markers concurrently, GS can capture most of the ?missing heritability? of complex traits that quantitative trait locus (QTL) and association mapping classically fail to explain. Experimental support of GS is now required. The effectiveness of GS was assessed in two unrelated Eucalyptus breeding populations with contrasting effective population sizes (Ne = 11 and 51) genotyped with > 3000 DArT markers. Prediction models were developed for tree circumference and height growth, wood specific gravity and pulp yield using random regression best linear unbiased predictor (BLUP). Accuracies of GS varied between 0.55 and 0.88, matching the accuracies achieved by conventional phenotypic selection. Substantial proportions (74?97%) of trait heritability were captured by fitting all genome-wide markers simultaneously. Genomic regions explaining trait variation largely coincided between populations, although GS models predicted poorly across populations, likely as a result of variable patterns of linkage disequilibrium, inconsistent allelic effects and genotype environment interaction. GS brings a new perspective to the understanding of quantitative trait variation in forest trees and provides a revolutionary tool for applied tree improvement. Nevertheless population- specific predictive models will likely drive the initial applications of G... Mostrar Tudo |
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Palavras-Chave: |
Qualidade da madeira. |
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Thesagro: |
Eucalipto; Seleção Genética. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02465naa a2200301 a 4500
001 1937744
005 2018-02-16
008 2012 bl uuuu u00u1 u #d
100 1 $aRESENDE, M. D. V. de
245 $aGenomic selection for growth and wood quality in Eucalyptus$bcapturing the missing heritability and accelerating breeding for complex traits in forest trees.$h[electronic resource]
260 $c2012
520 $aGenomic selection (GS) is expected to cause a paradigm shift in tree breeding by improving its speed and efficiency. By fitting all the genome-wide markers concurrently, GS can capture most of the ?missing heritability? of complex traits that quantitative trait locus (QTL) and association mapping classically fail to explain. Experimental support of GS is now required. The effectiveness of GS was assessed in two unrelated Eucalyptus breeding populations with contrasting effective population sizes (Ne = 11 and 51) genotyped with > 3000 DArT markers. Prediction models were developed for tree circumference and height growth, wood specific gravity and pulp yield using random regression best linear unbiased predictor (BLUP). Accuracies of GS varied between 0.55 and 0.88, matching the accuracies achieved by conventional phenotypic selection. Substantial proportions (74?97%) of trait heritability were captured by fitting all genome-wide markers simultaneously. Genomic regions explaining trait variation largely coincided between populations, although GS models predicted poorly across populations, likely as a result of variable patterns of linkage disequilibrium, inconsistent allelic effects and genotype environment interaction. GS brings a new perspective to the understanding of quantitative trait variation in forest trees and provides a revolutionary tool for applied tree improvement. Nevertheless population- specific predictive models will likely drive the initial applications of GS in forest tree breeding.
650 $aEucalipto
650 $aSeleção Genética
653 $aQualidade da madeira
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aSANSALONI, C. P.
700 1 $aPETROLI, C. D.
700 1 $aMISSIAGGIA, A. A.
700 1 $aAGUIAR, A. M.
700 1 $aABAD, J. M.
700 1 $aTAKAHASHI, E. K.
700 1 $aROSADO, A. M.
700 1 $aFARIA, D. A.
700 1 $aPAPPAS JUNIOR, G. J.
700 1 $aKILIAN, A.
700 1 $aGRATTAPAGLIA, D.
773 $tNew Phytologist$gv. 194, p. 116-128, 2012.
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Registro original: |
Embrapa Florestas (CNPF) |
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| Registros recuperados : 11 | |
| 2. |  | ANDRADE, D. F. C. de; ROCHA NETO, O. G. da. Efeito de diferentes níveis de fertilizante (NPK) sobre o crescimento e desenvolvimento de mudas enviveiradas de táxi branco (Sclerolobium paniculatum) e fava-orelha-de-negro (Enterolobium schomburgkii, Benth.). In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA UFRA, 4.; SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AMAZÔNIA ORIENTAL, 10., 2007, Belém, PA. Anais... Belém, PA: UFRA: Embrapa Amazônia Oriental, 2007. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 4. | | ANDRADE, D. F. C. de; GAMA, J. R. V.; RUSCHEL, A. R. Dinâmica de espécies arbóreas pioneiras em floresta ombrófila densa atingida por fogo no oeste do estado do Pará, Amazônia, Brasil. Pesquisa Florestal Brasileira, v. 39, e201902043, p. 230, 2019. Special issue. Abstracts of the XXV IUFRO World Congress, 2019.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 6. | | ANDRADE, D. F. C. de; GAMA, J. R. V.; RUSCHEL, A. R. Recuperação pós-fogo da vegetação arbórea em florestas da Amazônia. In: MINERVINO, A. H. H.; BRASILEIRO, T. S. A. (org.). Sociedade, natureza e desenvolvimento na Amazônia. Santarém, PA: UFOPA, 2019. v. 1, Cap. 8, p. 109-122.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 7. | | ANDRADE, C. G. C.; SILVA, M. L. da; TORRES, C. M. M. E.; RUSCHEL, A. R.; SILVA, L. F. da; ANDRADE, D. F. C. de; REIS, L. P. Crescimento diamétrico e tempo de passagem de Minquartia guianensis após manejo na Floresta Nacional do Tapajós. Pesquisa Florestal Brasileira, Colombo, v. 37, n. 91, p. 299-309, jul./set. 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Florestas. |
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| 8. | | ANDRADE, D. F. C. de; GAMA, J. R. V.; SANTOS, F. G.; MELO, M. S.; ESPAD, A. L. V.; KANASHIRO, M. O que aprendemos sobre manejo madeireiro de florestas nativas na Amazônia brasileira. In: GAMA, J. R. V.; ANDRADE, D. F. C. de (org.). Ciência Aplicada ao uso múltiplo da floresta no Baixo Rio Amazonas. Curitiba: Editora CRV, 2020. cap. 1, p. 29-50.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 10. | | ANDRADE, D. F. C. de; RUSCHEL, A. R.; SCHWARTZ, G.; OLIVEIRA, A. F. de S.; SANTOS, M. F. dos; COSTA, D. L. da; CARVALHO, J. O. P. de; GAMA, J. R. V. Fire compromises the recovery of a managed forest in Tapajós National Forest, Eastern Amazon, Brazil. Biodiversidade Brasileira, v. 12, n. 2, p. 1-15, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 11. | | GUIMARÃES, I. V. P.; BAUMANN, S. S. R. T.; GOMES, K. M. A.; FERREIRA, C. R. B.; GAMA, J. R. V.; RUSCHEL, A. R.; ANDRADE, D. F. C. de. Caracterização do estoque madeireiro remanescente após a extração seletiva de madeira na Floresta Nacional do Tapajós. Biodiversidade Brasileira, v. 14, n. 2, 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 4 |
| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 11 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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