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Registro Completo |
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
24/02/2016 |
Data da última atualização: |
23/03/2023 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
LIMA, B. M.; GARCIA, C.; ALMEIDA, A.; SILVA JUNIOR, O. B.; VENCOVSKY, R.; MANSFIELD, S. D.; GRATTAPAGLIA, D. |
Afiliação: |
BRUNO M. LIMA, FIBRIA S.A. TECHNOLOGY CENTER; CARLA GARCIA, INTERNATIONAL PAPER DO BRASIL; ADRIANO ALMEIDA, INTERNATIONAL PAPER DO BRASIL; ORZENIL BONFIM DA SILVA JUNIOR, CENARGEN; ROLAND VENCOVSKY, USP; SHAWN D. MANSFIELD, UNIVERSITY OF BRITISH COLUMBIA; DARIO GRATTAPAGLIA, CENARGEN. |
Título: |
Genome-wide prediction of individual tree ranking for growth, chemical and physical wood properties in Eucalyptus based on High-Density SNP Data from the EUChip60K. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015. |
Idioma: |
Inglês |
Notas: |
PAG 2015. Pôster P1230. |
Conteúdo: |
Despite their fast growth, eucalypt breeding cycles still take >12 years and wood properties assessment is limited to a sample of trees in late stages of selection, preventing the full exploitation of the existing genetic variation. We examined fifteen growth and wood chemical and physical traits in 1,000 progeny individuals derived from an elite Eucalyptus breeding population of International Paper do Brasil. Near-infrared spectroscopy models were developed and used for high-throughput wood phenotyping. A total of 29,090 SNPs were retained for genomic prediction analyses, providing 1 SNP/22 kbp in the Eucalyptus genome, a higher marker density than any previous study in trees. RR-BLUP and BLASSO were used for genomic predictions, and compared to the performance of BLUP phenotypic selection. Predictive abilities reached similar estimates with the two approaches, varying from a low of 0.10, for microfibril angle, to 0.42 for volume growth, and up to 0.83, for syringyl:guaiacyl lignin ratio. Correlations between genomic and phenotypic predictions ranged between 0.771 and 0.929, and were best for wood chemical traits, density and growth. Both genomic prediction models yielded a coincidence >70% for the top 30 trees ranked by phenotypic selection for volume growth, wood density and S:G ratio, and >60% in the top 10 trees. When tandem multi-trait selection was applied to these traits simultaneously, 15 out of the top 25 trees selected based on phenotypes were also selected by genomic selection (GS). These results corroborate earlier results by which GS could significantly reduce the length of a breeding cycle in Eucalyptus by applying ultra-early selection of genomically multi-trait ranked seedlings precluding the progeny trial stage. Top ranked seedlings for GEBV would be subject to early flower induction and inter-mated to create the next generation of breeding and/or deployed into field validation clonal trials depending on the breeding objectives. MenosDespite their fast growth, eucalypt breeding cycles still take >12 years and wood properties assessment is limited to a sample of trees in late stages of selection, preventing the full exploitation of the existing genetic variation. We examined fifteen growth and wood chemical and physical traits in 1,000 progeny individuals derived from an elite Eucalyptus breeding population of International Paper do Brasil. Near-infrared spectroscopy models were developed and used for high-throughput wood phenotyping. A total of 29,090 SNPs were retained for genomic prediction analyses, providing 1 SNP/22 kbp in the Eucalyptus genome, a higher marker density than any previous study in trees. RR-BLUP and BLASSO were used for genomic predictions, and compared to the performance of BLUP phenotypic selection. Predictive abilities reached similar estimates with the two approaches, varying from a low of 0.10, for microfibril angle, to 0.42 for volume growth, and up to 0.83, for syringyl:guaiacyl lignin ratio. Correlations between genomic and phenotypic predictions ranged between 0.771 and 0.929, and were best for wood chemical traits, density and growth. Both genomic prediction models yielded a coincidence >70% for the top 30 trees ranked by phenotypic selection for volume growth, wood density and S:G ratio, and >60% in the top 10 trees. When tandem multi-trait selection was applied to these traits simultaneously, 15 out of the top 25 trees selected based on phenotypes were also selected by gen... Mostrar Tudo |
Palavras-Chave: |
Eucalypt breeding. |
Categoria do assunto: |
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Marc: |
LEADER 02739nam a2200205 a 4500 001 2038485 005 2023-03-23 008 2015 bl uuuu u00u1 u #d 100 1 $aLIMA, B. M. 245 $aGenome-wide prediction of individual tree ranking for growth, chemical and physical wood properties in Eucalyptus based on High-Density SNP Data from the EUChip60K.$h[electronic resource] 260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.]$c2015 500 $aPAG 2015. Pôster P1230. 520 $aDespite their fast growth, eucalypt breeding cycles still take >12 years and wood properties assessment is limited to a sample of trees in late stages of selection, preventing the full exploitation of the existing genetic variation. We examined fifteen growth and wood chemical and physical traits in 1,000 progeny individuals derived from an elite Eucalyptus breeding population of International Paper do Brasil. Near-infrared spectroscopy models were developed and used for high-throughput wood phenotyping. A total of 29,090 SNPs were retained for genomic prediction analyses, providing 1 SNP/22 kbp in the Eucalyptus genome, a higher marker density than any previous study in trees. RR-BLUP and BLASSO were used for genomic predictions, and compared to the performance of BLUP phenotypic selection. Predictive abilities reached similar estimates with the two approaches, varying from a low of 0.10, for microfibril angle, to 0.42 for volume growth, and up to 0.83, for syringyl:guaiacyl lignin ratio. Correlations between genomic and phenotypic predictions ranged between 0.771 and 0.929, and were best for wood chemical traits, density and growth. Both genomic prediction models yielded a coincidence >70% for the top 30 trees ranked by phenotypic selection for volume growth, wood density and S:G ratio, and >60% in the top 10 trees. When tandem multi-trait selection was applied to these traits simultaneously, 15 out of the top 25 trees selected based on phenotypes were also selected by genomic selection (GS). These results corroborate earlier results by which GS could significantly reduce the length of a breeding cycle in Eucalyptus by applying ultra-early selection of genomically multi-trait ranked seedlings precluding the progeny trial stage. Top ranked seedlings for GEBV would be subject to early flower induction and inter-mated to create the next generation of breeding and/or deployed into field validation clonal trials depending on the breeding objectives. 653 $aEucalypt breeding 700 1 $aGARCIA, C. 700 1 $aALMEIDA, A. 700 1 $aSILVA JUNIOR, O. B. 700 1 $aVENCOVSKY, R. 700 1 $aMANSFIELD, S. D. 700 1 $aGRATTAPAGLIA, D.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Registros recuperados : 14 | |
1. | | COELHO, M. do S. E.; LIMA, B. M. F. V.; ASSIS, J. S. de; MELO, N. F. de. Efeito da benzilaminopurina (BAP) na multiplicação in vitro de onze genótipos de oliveira (Olea europaea L.). Magistra, Cruz das Almas, v. 18, p.77, out. 2006. Número especial. Edição de Resumos do 2º Workshop de Recursos Genéticos Vegetais no Estado da Bahia, Ilheus, out. 2006.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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3. | | SAKREZENSKI, D. A.; PAIXÃO, D.; SOUSA, E. M. de; LIMA, B. M.; EL-HUSNY, J. C.; SILVA, A. G. da. Resistência de cultivares de soja a lagarta falsa-medideira Chrysodeixis includens (Walker, 1858) (Lepidoptera: Noctuidae) no polo Paragominas de grãos em condições de campo. In: SEMINÁRIO ANUAL DE INICIAÇÃO CIENTÍFICA DA UFRA, 15., 2017, Belém, PA. Anais... Belém, PA: UFRA, 2018. p. 371. Organizadoras: Paula Fernanda Viegas Pinheiro e Tatianne Feitosa Soares.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Amazônia Oriental. |
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4. | | LIMA, B. M.; GARCIA, C.; ALMEIDA, A.; SILVA JUNIOR, O. B.; VENCOVSKY, R.; MANSFIELD, S. D.; GRATTAPAGLIA, D. Genome-wide prediction of individual tree ranking for growth, chemical and physical wood properties in Eucalyptus based on High-Density SNP Data from the EUChip60K. In: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015. PAG 2015. Pôster P1230.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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6. | | COELHO, M. do S. E.; LIMA, B. M. F. V.; ASSIS, J. S. de; MELO, N. F. de. Estabelecimento in vitro de genótipos de oliveira (Olea europaea L.) cultivadas no semi-árido brasileiro. Magistra, Cruz das Almas, v. 18, p.87, out. 2006. Número especial. Edição de Resumos do 2º Workshop de Recursos Genéticos Vegetais no Estado da Bahia, Ilheus, out. 2006.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Semiárido. |
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9. | | LIMA, B. M.; SILVA JUNIOR, O. B. da; FARIA, D. A.; MAMANI, E. M. C.; PAPPAS JUNIOR, G. J.; GRATTAPAGLIA, D. Assessment of SNPs for linkage mapping in Eucalyptus: construction of a consensus SNP/microsatellite map from two unrelated pedigrees. BMC Proceedings, v. 5, suppl, P31, 2012. (Open access) Edição do Proceedings IUFRO Tree Biotechnology Conference, Arraial d?Ajuda, 2011.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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10. | | SANTOS, B. A. dos; LIMA, B. M.; EMERIQUE, C. B. de L.; SAKREZENSKI, D. A.; EL-HUSNY, J. C.; SILVA, A. G. da. Resistência de cultivares de soja a mosca-branca Bemisia tabaci (Genn., 1889) (Hemiptera: Aleyrodidae), em condições de campo, no polo Paragominas de grãos. In: SEMINÁRIO ANUAL DE INICIAÇÃO CIENTÍFICA DA UFRA, 15., 2017, Belém, PA. Anais... Belém, PA: UFRA, 2018. p. 395. Organizadoras: Paula Fernanda Viegas Pinheiro e Tatianne Feitosa Soares.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Amazônia Oriental. |
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11. | | LIMA, B. M.; TEIXEIRA, J. E. C.; GAZAFFI, R.; GARCIA, A. A. F.; GRATTAPAGLIA, D.; VALLE, R. K. D.; CAMARGO, L. E. A. Identification of a novel QTL contributing to rust resistance in Eucalyptus. BMC Proceedings 2011, v. 5, Suppl 7, p. P32, 2011. Edição dos resumos do IUFRO Tree Biotechnology Conference 2011: From Genomes to Integration, 2011 Arraial d?Ajuda, Bahia.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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12. | | SILVA, A. G.; LIMA, B. M.; SANTOS, B. A.; LIMA, T. O.; BAIA, K. S.; MARTINS, C. L.; EL-HUSNY, J. C. Infestação de Bemisia tabaci (Hemiptera: Aleyrodidae) em cultivares de soja no polo Paragominas de grãos, Estado do Pará. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 27.; CONGRESSO LATINO-AMERICANO DE ENTOMOLOGIA, 10., 2018, Gramado. Saúde, ambiente e agricultura: anais. Gramado: SEB, 2018. p. 1437.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Amazônia Oriental. |
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13. | | MULLER, B. S. F.; NEVES, L. G.; LIMA, B. M.; GARCIA, C. C.; MISSIAGGIA, A.; AGUIAR, A. M.; TAKAHASHI, E. K.; SILVA JUNIOR, O. B. da; KIRST, M.; GRATTAPAGLIA, D. Joint GWAS analysis for growth traits across four Eucalyptus breeding populations. In: PLANT AND ANIMAL GENOME CONFERENCE, 25., 2017, San Diego. [Abstracts...]. San Diego, CA: [s.n.], 2017. W338.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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14. | | MULLER, B. S. F.; ALMEIDA FILHO, J. E. de; LIMA, B. M.; GARCIA, C. C.; MISSIAGGIA, A.; AGUIAR, A. M.; TAKAHASHI, E.; KIRST, M.; GEZAN, S. A.; SILVA JUNIOR, O. B. da; NEVES, L. G.; GRATTAPAGLIA, D. Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations. The New phytologist, v. 221, n. 2, p. 818-833, 2019. Na publicação: Orzenil B. Silva-Junior.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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Registros recuperados : 14 | |
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Nenhum registro encontrado para a expressão de busca informada. |
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