| |
|
|
| Registros recuperados : 20 | |
| 2. |  | 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. |
|    |
| 3. | | 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. |
|  |
| 4. | | 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. |
| |
| 5. | | 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. |
| |
| 6. | | 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. |
| |
| 7. | | 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. |
| |
| 8. | | 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. |
| |
| 9. | | 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. |
| |
| 10. | | 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. |
| |
| 11. | | MÜLLER, B. S. F.; NEVES, L. G.; ALMEIDA FILHO, J. E. de; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. R.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; KIRST, M.; GRATTAPAGLIA, D. Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. BMC Genomics, v. 18, article 524, 2017. 17 p.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
| |
| 12. | | 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.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
| |
| 13. | | 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.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
| |
| 14. | | MÜLLER, B. S. F.; PAPPAS JUNIOR, G. J.; VALDISSER, P. A. M. R.; COELHO, G. R. C.; MENEZES, I. P. P. de; ABREU, A. G.; BORBA, T. C. O.; SAKAMOTO, T.; BRONDANI, C.; BARROS, E. G.; VIANELLO, R. P. An operational SNP panel integrated to SSR marker for the assessment of genetic diversity and population structure of the common bean. Plant Molecular Biology Reporter, v. 33, n. 6, p. 1697-1711, Dec. 2015.| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| 15. | | 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. |
| |
| 16. | | 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. |
| |
| 17. | | LOPES, M. T. G.; AGUIAR, A. V. de; GAIOTTO, F. A.; FAHRENKROG, A.; BITTENCOURT, F.; DERVINIS, C.; MÜLLER, B. S. F.; SANTOS, R. F. dos; QUISEN, R. C.; KIRST, M. Next generation transcriptome assembly for Euterpe oleracea. In: GLOBAL CONFERENCE ON PLANT SCIENCE AND MOLECULAR BIOLOGY, 2., 2018, Rome. Accentuate innovations and emerging novel research in plant sciences: book of abstracts. Rome: 2018. p. 94.| Biblioteca(s): Embrapa Florestas. |
| |
| 18. | | VALDISSER, P. A. M. R.; PAPPAS JUNIOR, G. J.; MENEZES, I. P. P. de; MÜLLER, B. S. F.; PEREIRA, W. J.; NARCISO, M. G.; BRONDANI, C.; SOUZA, T. L. P. O.; BORBA, T. C. O.; VIANELLO, R. P. SNP discovery in common bean by restriction-associated DNA (RAD) sequencing for genetic diversity and population structure analysis. Molecular Genetics and Genomics, v. 291, n. 3, p. 1277-1291, June 2016.| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| 19. | | VALDISSER, P. A. M. R.; MÜLLER, B. S. F.; ALMEIDA FILHO, J. E. de; MORAIS JÚNIOR, O. P.; GUIMARÃES, C. M.; BORBA, T. C. O.; SOUZA, I. P. de; ZUCCHI, M. I.; NEVES, L. G.; COELHO, A. S. G.; BRONDANI, C.; VIANELLO, R. P. Genome-wide association studies detect multiple QTLs for productivity in mesoamerican diversity panel of common bean under drought stress. Frontiers in Plant Science, v. 11, 574674, Nov. 2020.| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| 20. | | VALDISSER, P. A. M. R.; PEREIRA, W. J.; ALMEIDA FILHO, J. E.; MÜLLER, B. S. F.; COELHO, G. R. C.; MENEZES, I. P. P. de; VIANNA, J. P. G.; ZUCCHI, M. I.; LANNA, A. C.; COELHO, A. S. G.; OLIVEIRA, J. P. de; MORAES, A. da C.; BRONDANI, C.; VIANELLO, R. P. In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping. BMC Genomics, v. 18, Article 423, 30 mai. 2017.| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| Registros recuperados : 20 | |
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
|
Data corrente: |
10/01/2023 |
|
Data da última atualização: |
11/07/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 2 |
|
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. |
|
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. |
|
Título: |
Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density. |
|
Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
New Forests, 54, 2023. |
|
DOI: |
https://doi.org/10.1007/s11056-022-09924-y |
|
Idioma: |
Inglês |
|
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 |
|
Thesaurus NAL: |
Eucalyptus benthamii; Genomics; Genotyping; Wood quality. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 02502naa a2200265 a 4500
001 2150837
005 2023-07-11
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Café (CNPCa) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
