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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
26/07/2023 |
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Data da última atualização: |
02/08/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MORAIS JUNIOR, O. P.; MÜLLER, B. S. F.; VALDISSER, P. A. M. R.; BRONDANI, C.; VIANELLO, R. P. |
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Afiliação: |
ODILON PEIXOTO MORAIS JUNIOR, UNIVERSIDADE FEDERAL DE GOIÁS; BÁRBARA S. F. MÜLLER, UNIVERSITY OF FLORIDA, Gainesville, FL; PAULA ARIELLE M RIBEIRO VALDISSER, CNPAF; CLAUDIO BRONDANI, CNPAF; ROSANA PEREIRA VIANELLO, CNPAF. |
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Título: |
Genomic prediction for drought tolerance using multienvironment data in a common bean (Phaseolus vulgaris) breeding program. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Crop Science, v. 63, n. 4, p. 2145-2161, July/Aug. 2023. |
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ISSN: |
0011-183X |
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DOI: |
https://doi.org/10.1002/csc2.21000 |
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Idioma: |
Inglês |
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Conteúdo: |
This work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative traits. MenosThis work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative t... Mostrar Tudo |
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Thesagro: |
Feijão; Melhoramento Genético Vegetal; Phaseolus Vulgaris; Resistência a Seca. |
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Thesaurus Nal: |
Beans; Breeding and Genetic Improvement; Drought tolerance; Genomics. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02428naa a2200289 a 4500
001 2155303
005 2023-08-02
008 2023 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $ahttps://doi.org/10.1002/csc2.21000$2DOI
100 1 $aMORAIS JUNIOR, O. P.
245 $aGenomic prediction for drought tolerance using multienvironment data in a common bean (Phaseolus vulgaris) breeding program.$h[electronic resource]
260 $c2023
520 $aThis work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative traits.
650 $aBeans
650 $aBreeding and Genetic Improvement
650 $aDrought tolerance
650 $aGenomics
650 $aFeijão
650 $aMelhoramento Genético Vegetal
650 $aPhaseolus Vulgaris
650 $aResistência a Seca
700 1 $aMÜLLER, B. S. F.
700 1 $aVALDISSER, P. A. M. R.
700 1 $aBRONDANI, C.
700 1 $aVIANELLO, R. P.
773 $tCrop Science$gv. 63, n. 4, p. 2145-2161, July/Aug. 2023.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
|    |
| 3. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 4. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Café; 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.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 6. | | 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.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 7. | | 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).| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 9. | | 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 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.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 11. | | 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 12. | | 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 13. | | 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.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas. |
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| 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 15. | | 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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| 16. | | 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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| 17. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 19. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 20. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 20 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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