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| Registros recuperados : 29 | |
| 3. |  | SILVA, D. A.; MULLER, B. V.; KUIASKI, E. C.; ELOY, E.; BEHLING, A.; COLAÇO, C. M. Propriedades da madeira de Eucalyptus benthamii para produção de energia. Pesquisa Florestal Brasileira, Colombo, v. 35, n. 84, p. 481-485, out./dez. 2015. Nota científica.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | MÜLLER, B. S. de F.; SAKAMOTO, T.; MENEZES, I. P. P. de; PRADO, G. S.; MARTINS, W. S.; BRONDANI, C.; BARROS, E. G. de; VIANELLO, R. P. Analysis of BAC-end sequences in common bean (Phaseolus vulgaris L.) towards the development and characterization of long motifs SSRs. Plant Molecular Biology, Dordrecht, v. 86, n. 4/5, p. 455-470, Nov. 2014.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 6. | | MÜLLER, B. S. F.; PAPPAS JUNIOR, G. J.; PEREIRA, M.; GUIMARÃES, C. M.; ZAMBUZZI-CARVALHO, P. F.; SILVEIRA, R. D. D.; BRONDANI, C.; BRONDANI, R. P. V. Análise de genes diferencialmente expressos em Phaseolus vulgaris sob condições de déficit hídrico. In: CONGRESSO BRASILEIRO DE GENÉTICA, 56., 2010, Guarujá. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2010. p. 259.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | SUPERTI, B. F. V.; SOUZA, A. P. de; MÜLLER, B. C.; SILVA, Z. da; ZANELLA, R.; ZANELLA, E. L.; MARQUES, M. G. Comparison of different surgical procedures to prepare teaser boars. In: ANNUAL MEETING OF THE BRAZILIAN EMBRYO TECHNOLOGY SOCIETY, 31., 2017, Cabo de Santo Agostinho, PE. Proceedings... Belo Horizonte: Colégio Brasileiro de Reprodução Animal, 2017. p. 809.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 8. | | MÜLLER, B. S. F.; GUIMARÃES, C. M.; SILVEIRA, R. D. D.; ABREU, E. M.; SANCHES, B. A.; ZAMBUZZI-CARVALHO, P. F.; BRONDANI, C.; BRONDANI, R. P. V. Desenvolvimento de banco ESTs para feijão comum enriquecido para genes de resposta ao estresse hídrico. In: SEMINÁRIO JOVENS TALENTOS, 4., 2010, Santo Antônio de Goiás. Resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2010. p. 13. (Embrapa Arroz e Feijão. Documentos, 257).| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | SUPERTI, B. F. V.; SOUZA, A. P. de; MÜLLER, B. C.; SILVA, Z. da; ZANELLA, E. L.; ZANELLA, R.; MARQUES, M. G. Development of effective and minimally invasive surgical techniques for the preparation of intact, sterile boars. Journal of Swine Health and Production, v. 20, n. 5, p. 253-260, 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 10. | | GRATTAPAGLIA, D.; RESENDE, R.; MÜLLER, B.; LIMA, B.; TAN, B.; TAKAHASHI, E.; ESTOPA, R.; GARCIA, C.; ROSSE, L.; SILVA JUNIOR, O. Genomic prediction of complex traits: genomics and quantitative genetics converge to innovate Eucalyptus breeding in Brazil. Pesquisa Florestal Brasileira, Colombo, v. 39, (nesp), e201902043, 2019. p. 174. Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 11. | | ESTOPA, R. A.; PALUDETO, J. G. Z.; MÜLLER, B. S. F.; OLIVEIRA, R. A. de; AZEVEDO, C. F.; RESENDE, M. D. V. de; TAMBARUSSI, E. V.; GRATTAPAGLIA, D. Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density. New Forests, 54, 2023.| Biblioteca(s): Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | MÜLLER, B. S. F.; NEVES, L. G.; RESENDE JÚNIOR, M. F. R.; MUÑOZ, P. R.; KIRST, M.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; GRATTAPAGLIA, D. Genomic selection for growth traits in Eucalyptus benthamii and E. pellita populations using a genome-wide Eucalyptus 60K SNPs chip. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM, 2015.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 13. | | MÜLLER, B. S. F.; NEVES, L. G.; RESENDE JÚNIOR, M. F. R.; MUÑOZ, P. R.; KIRST, M.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; GRATTAPAGLIA, D. Genomic selection for growth traits in Eucalyptus benthamii and E. pellita populations using a genome-wide Eucalyptus 60K SNPs chip. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM, 2015. Pen-drive.| Biblioteca(s): Embrapa Florestas. |
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| 14. | | GRATTAPAGLIA, D.; SILVA JUNIOR, O. B. da; RESENDE, R. T.; CAPPA, E. P.; MÜLLER, B. S. F.; TAN, B.; ISIK, F.; RATCLIFFE, B.; EL-KASSABY, Y. A. Quantitative genetics and genomics converge to accelerate forest tree breeding. Frontiers in Plant Science, v. 9, article 1693, 2018. Na publicação: Orzenil B. Silva-Junior.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 15. | | AGUIAR, A. V. de; LOPES, M. T. G.; GAIOTTO, F. A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Transcriptome analysis of Euterpe edulis and identification of microsatellite markers. In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90-91.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 16. | | AGUIAR, A. V. de; LOPES, M. T. G.; GAIOTTO, F. A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Transcriptome analysis of Euterpe edulis and identification of microsatellite markers. In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90-91.| Biblioteca(s): Embrapa Florestas. |
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| 17. | | SUPERTI, B. F. V.; SOUZA, A. P. de; MÜLLER, B. C.; SILVA, Z. da; ZANELLA, R.; ZANELLA, E. L.; MARQUES, M. G. Técnicas cirúrgicas para preparo de rufiões suínos. Suinocultura Industrial, Itu, ed. 281, ano 40, n. 02, p. 14-17, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 18. | | MÜLLER, B. S. F.; PAPPAS JUNIOR, G. J.; COSTA, M. M. C.; PEREIRA, M.; GUIMARÃES, C. M.; ZAMBUZZI-CARVALHO, P. F.; SILVEIRA, R. D. D.; BRONDANI, C.; BRONDANI, R. P. V. Análise do transcriptoma de Phaseolus vulgaris em resposta ao déficit hídrico. In: CONGRESSO DE PESQUISA, ENSINO E EXTENSÃO, 7., 2010, Goiânia. Conhecimento e desenvolvimento sustentável: anais... Goiânia: UFG, 2010. p. 4248-4252. Conpeex 2010.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 19. | | LOPES, M. T. G.; GAIOTTO, F. A.; AGUIAR, A. V. de; FAHRENKROG, A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Next-generation transcriptome assembly of an Amazon palm (Euterpe precatoria). In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 20. | | LOPES, M. T. G.; GAIOTTO, F. A.; AGUIAR, A. V. de; FAHRENKROG, A.; BITTENCOURT, F.; DERVINIS, C.; MULLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Next-generation transcriptome assembly of an Amazon palm (Euterpe precatoria). In: IUFRO GENOMICS & FOREST TREE GENETICS, 2016, Arcachon. Book of abstracts. [S.l.]: IUFRO, 2016. p. 90.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 29 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
10/01/2023 |
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Data da última atualização: |
11/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
ESTOPA, R. A.; PALUDETO, J. G. Z.; MÜLLER, B. S. F.; OLIVEIRA, R. A. de; AZEVEDO, C. F.; RESENDE, M. D. V. de; TAMBARUSSI, E. V.; GRATTAPAGLIA, D. |
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Afiliação: |
REGIANE ABJAUD ESTOPA, FORESTRY R&D - KLABIN S.A; JOÃO GABRIEL ZANON PALUDETO, FORESTRY R&D - KLABIN S.A; BÁRBARA SALOMÃO FARIA MÜLLER, UNIVERSITY OF FLORIDA; RICARDO AUGUSTO DE OLIVEIRA, UNIVERSIDADE FEDERAL DE VIÇOSA; CAMILA FERREIRA AZEVEDO, UNIVERSIDADE FEDERAL DE VIÇOSA; MARCOS DEON VILELA DE RESENDE, CNPCa; EVANDRO VAGNER TAMBARUSSI, UNIVERSIDADE ESTADUAL DO CENTRO-OESTE; DARIO GRATTAPAGLIA, Cenargen. |
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Título: |
Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
New Forests, 54, 2023. |
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DOI: |
https://doi.org/10.1007/s11056-022-09924-y |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density multi-species Eucalyptus EUCHIP60k. Our results support a positive outlook to implement GS to accelerate Eucalyptus benthamii breeding for adaptation to frost-prone regions. MenosGenomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density mult... Mostrar Tudo |
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Thesaurus NAL: |
Eucalyptus benthamii; Genomics; Genotyping; Wood quality. |
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Categoria do assunto: |
-- |
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Marc: |
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008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11056-022-09924-y$2DOI
100 1 $aESTOPA, R. A.
245 $aGenomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density.$h[electronic resource]
260 $c2023
520 $aGenomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density multi-species Eucalyptus EUCHIP60k. Our results support a positive outlook to implement GS to accelerate Eucalyptus benthamii breeding for adaptation to frost-prone regions.
650 $aEucalyptus benthamii
650 $aGenomics
650 $aGenotyping
650 $aWood quality
700 1 $aPALUDETO, J. G. Z.
700 1 $aMÜLLER, B. S. F.
700 1 $aOLIVEIRA, R. A. de
700 1 $aAZEVEDO, C. F.
700 1 $aRESENDE, M. D. V. de
700 1 $aTAMBARUSSI, E. V.
700 1 $aGRATTAPAGLIA, D.
773 $tNew Forests, 54, 2023.
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