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| Registros recuperados : 14 | |
| 6. |  | QUEIROZ, V. A. V.; MORAES, E. A.; SCHAFFERT, R. E.; MOREIRA, A. F.; RIBEIRO, S. M. R.; MARTINO, H. S. D. Potencial funcional e tecnologia de processamento do sorgo (Sorghum bicolor (L.) Moench), na alimentação humana. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 10, n. 3, p. 180-195, 2011.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 7. | | CARDOSO, L. de M.; MONTINI, T. A.; PINHEIRO, S. S.; QUEIROZ, V. A. V.; PINHEIRO SANT'ANA, H. M.; MARTINO, H. S. D.; MOREIRA, A. V. B. Effects of processing with dry heat and wet heat on the antioxidant profile of sorghum. Food Chemistry, London, v. 152, p. 210-217, 2014.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 8. | | FIGUEIREDO JÚNIOR, J. M. M. de; OLIVEIRA, I. C. M.; LACERDA, V. A.; SOUZA, L. O. S.; MOREIRA, A. L. de S.; TORRES, L. G.; PARRELLA, R. A. da C.; SCHAFFERT, R. E. Análise de trilha para componentes relacionados à produção de álcool em híbridos de sorgo sacarino. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 307.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 9. | | CARDOSO, L. de M.; PINHEIRO, S. S.; CARVALHO, C. W. P. de; QUEIROZ, V. A. V.; MENEZES, C. B. de; MOREIRA, A. V. B.; BARROS, F. A. R. de; AWIKA, J. M.; MARTINO, H. S. D.; PINHEIRO-SANT'ANA, H. M. Phenolic compounds profile in sorghum processed by extrusion cooking and dry heat in a conventional oven. Journal of Cereal Science, London, v. 65, p. 220-226, 2015.| Biblioteca(s): Embrapa Agroindústria de Alimentos; Embrapa Milho e Sorgo. |
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| 10. | | LACERDA, V. A.; OLIVEIRA, I. C. M.; SOUSA, L. O. S.; FIGUEIREDO JÚNIOR, J. M. M. de; MOREIRA, A. L. de S.; PARRELLA, R. A. da C.; TORRES, L. G.; SANTOS, C. V. dos. Estudo de correlações e seleção de híbridos de sorgo sacarino visando a geração de biocombustível. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 318.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 11. | | OLIVEIRA, I. C. M.; RIBEIRO, P. C. de O.; FIGUEIREDO JÚNIOR, J. M. M. de; LACERDA, V. A.; SOUSA, L. O. S.; TORRES, L. G.; MOREIRA, A. L. de S.; PARRELLA, R. A. da C. Estudo da interação genótipo-ambiente para híbridos experimentais de sorgo biomassa. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 316.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 12. | | MORAES, E. A.; OLIVEIRA, F. C. E. de; QUEIROZ, V. A. V.; SCHAFFERT, R. E.; CECON, P. R.; MOREIRA, A. V.; RIBEIRO, S. M. R.; MARTINO, H. S. D. Domestic processing effects on antioxidant capacity, total phenols and phytate content of sorghum. Current Nutrition & Food Science, v. 16, n. 4, p. 501-507, 2020.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 13. | | FERREIRA, R. de P.; MARQUES, R. O.; COMERON, E. A.; BASIGALUP, D. H.; GIECO, J. O.; BUENO, V. H. P.; SILVA, A. de C.; FAVA, F. D.; TUPY, O.; KOPP, M. M.; RUGGIERI, A. C.; KARAM, D.; MOREIRA, A.; MENDONÇA, F. C. Alfafa (Medicago sativa). In: FONSECA, D. M. DA; MARTUSCELLO, J. A. (Eds.). Plantas forrageiras. 2 ed. Viçosa: UFV, 2022. p.363-386.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Milho e Sorgo; Embrapa Pecuária Sudeste; Embrapa Pecuária Sul; Embrapa Soja. |
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| 14. | | LOPES, R. de C. S. O.; RIBEIRO, P. V. de M.; BALBINO, K. P.; SANTOS, A. de P.; JORGE, M. de P.; THEODORO, J. M. V.; GUERRA, N. N.; WALTER, E. H. M.; CARVALHO, C. W. P. de; QUEIROZ, V. A. V.; HERMSDORFF, H. H. M.; MOREIRA, A. V. B.; RIBEIRO, S. M. R.; MARTINO, H. S. D.; RIBEIRO, A. Q. Consumo de um simbiótico no controle urêmico de portadores de doença renal crônica em hemodiálise. Nutrire, São Paulo, v. 40, p. 643, 2015. Suplemento.
Edição dos resumos do 13º Congresso Nacional da Sociedade Brasileira de Alimentação e Nutrição, São Paulo, 2015.| Biblioteca(s): Embrapa Agroindústria de Alimentos; Embrapa Milho e Sorgo. |
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| Registros recuperados : 14 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
08/07/2013 |
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Data da última atualização: |
19/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
JESUS, O. N. de; SILVA, S. DE O. E; AMORIM, E. P.; FERREIRA, C. F.; CAMPOS, J. M. S. de; SILVA, G. de G.; FIGUEIRA, A. |
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Afiliação: |
ONILDO NUNES DE JESUS, CNPMF; SEBASTIÃO DE OLIVEIRA E SILVA; EDSON PERITO AMORIM, CNPMF; CLAUDIA FORTES FERREIRA, CNPMF; JOSÉ MARCELLO SALABERT DE CAMPOS; GABRIELA DE GASPARI SILVA, USP; ANTONIO FIGUEIRA, USP. |
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Título: |
Genetic diversity and population structure of Musa accessions in ex situ conservation. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
BMC Plant Biology, p. 13:41, 2013. |
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ISSN: |
1471-2229 |
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DOI: |
10.1186/1471-2229-13-41 |
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Idioma: |
Inglês |
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Conteúdo: |
Background: Banana cultivars are mostly derived from hybridization between wild diploid subspecies of Musa acuminata (A genome) and M. balbisiana (B genome), and they exhibit various levels of ploidy and genomic constitution. The Embrapa ex situ Musa collection contains over 220 accessions, of which only a few have been genetically characterized. Knowledge regarding the genetic relationships and diversity between modern cultivars and wild relatives would assist in conservation and breeding strategies. Our objectives were to determine the genomic constitution based on Internal Transcribed Spacer (ITS) regions polymorphism and the ploidy of all accessions by flow cytometry and to investigate the population structure of the collection using Simple Sequence Repeat (SSR) loci as co-dominant markers based on Structure software, not previously performed in Musa. Results: From the 221 accessions analyzed by flow cytometry, the correct ploidy was confirmed or established for 212 (95.9%), whereas digestion of the ITS region confirmed the genomic constitution of 209 (94.6%). Neighborjoining clustering analysis derived from SSR binary data allowed the detection of two major groups, essentially distinguished by the presence or absence of the B genome, while subgroups were formed according to the genomic composition and commercial classification. The co-dominant nature of SSR was explored to analyze the structure of the population based on a Bayesian approach, detecting 21 subpopulations. Most of the subpopulations were in agreement with the clustering analysis. Conclusions: The data generated by flow cytometry, ITS and SSR supported the hypothesis about the occurrence of homeologue recombination between A and B genomes, leading to discrepancies in the number of sets or portions from each parental genome. These phenomenons have been largely disregarded in the evolution of banana, as the ?single-step domestication? hypothesis had long predominated. These findings will have an impact in future breeding approaches. Structure analysis enabled the efficient detection of ancestry of recently developed tetraploid hybrids by breeding programs, and for some triploids. However, for the main commercial subgroups, Structure appeared to be less efficient to detect the ancestry in diploid groups, possibly due to sampling restrictions. The possibility of inferring the membership among accessions to correct the effects of genetic structure opens possibilities for its use in marker-assisted selection by association mapping. MenosBackground: Banana cultivars are mostly derived from hybridization between wild diploid subspecies of Musa acuminata (A genome) and M. balbisiana (B genome), and they exhibit various levels of ploidy and genomic constitution. The Embrapa ex situ Musa collection contains over 220 accessions, of which only a few have been genetically characterized. Knowledge regarding the genetic relationships and diversity between modern cultivars and wild relatives would assist in conservation and breeding strategies. Our objectives were to determine the genomic constitution based on Internal Transcribed Spacer (ITS) regions polymorphism and the ploidy of all accessions by flow cytometry and to investigate the population structure of the collection using Simple Sequence Repeat (SSR) loci as co-dominant markers based on Structure software, not previously performed in Musa. Results: From the 221 accessions analyzed by flow cytometry, the correct ploidy was confirmed or established for 212 (95.9%), whereas digestion of the ITS region confirmed the genomic constitution of 209 (94.6%). Neighborjoining clustering analysis derived from SSR binary data allowed the detection of two major groups, essentially distinguished by the presence or absence of the B genome, while subgroups were formed according to the genomic composition and commercial classification. The co-dominant nature of SSR was explored to analyze the structure of the population based on a Bayesian approach, detecting 21 subpopulations.... Mostrar Tudo |
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Thesagro: |
Banana; Hibridação; Melhoramento vegetal; Musa Acuminata. |
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Thesaurus NAL: |
Hybridization; Musa balbisiana. |
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Categoria do assunto: |
G Melhoramento Genético |
|
Marc: |
LEADER 03353naa a2200289 a 4500
001 1961581
005 2023-05-19
008 2013 bl uuuu u00u1 u #d
022 $a1471-2229
024 7 $a10.1186/1471-2229-13-41$2DOI
100 1 $aJESUS, O. N. de
245 $aGenetic diversity and population structure of Musa accessions in ex situ conservation.$h[electronic resource]
260 $c2013
520 $aBackground: Banana cultivars are mostly derived from hybridization between wild diploid subspecies of Musa acuminata (A genome) and M. balbisiana (B genome), and they exhibit various levels of ploidy and genomic constitution. The Embrapa ex situ Musa collection contains over 220 accessions, of which only a few have been genetically characterized. Knowledge regarding the genetic relationships and diversity between modern cultivars and wild relatives would assist in conservation and breeding strategies. Our objectives were to determine the genomic constitution based on Internal Transcribed Spacer (ITS) regions polymorphism and the ploidy of all accessions by flow cytometry and to investigate the population structure of the collection using Simple Sequence Repeat (SSR) loci as co-dominant markers based on Structure software, not previously performed in Musa. Results: From the 221 accessions analyzed by flow cytometry, the correct ploidy was confirmed or established for 212 (95.9%), whereas digestion of the ITS region confirmed the genomic constitution of 209 (94.6%). Neighborjoining clustering analysis derived from SSR binary data allowed the detection of two major groups, essentially distinguished by the presence or absence of the B genome, while subgroups were formed according to the genomic composition and commercial classification. The co-dominant nature of SSR was explored to analyze the structure of the population based on a Bayesian approach, detecting 21 subpopulations. Most of the subpopulations were in agreement with the clustering analysis. Conclusions: The data generated by flow cytometry, ITS and SSR supported the hypothesis about the occurrence of homeologue recombination between A and B genomes, leading to discrepancies in the number of sets or portions from each parental genome. These phenomenons have been largely disregarded in the evolution of banana, as the ?single-step domestication? hypothesis had long predominated. These findings will have an impact in future breeding approaches. Structure analysis enabled the efficient detection of ancestry of recently developed tetraploid hybrids by breeding programs, and for some triploids. However, for the main commercial subgroups, Structure appeared to be less efficient to detect the ancestry in diploid groups, possibly due to sampling restrictions. The possibility of inferring the membership among accessions to correct the effects of genetic structure opens possibilities for its use in marker-assisted selection by association mapping.
650 $aHybridization
650 $aMusa balbisiana
650 $aBanana
650 $aHibridação
650 $aMelhoramento vegetal
650 $aMusa Acuminata
700 1 $aSILVA, S. DE O. E
700 1 $aAMORIM, E. P.
700 1 $aFERREIRA, C. F.
700 1 $aCAMPOS, J. M. S. de
700 1 $aSILVA, G. de G.
700 1 $aFIGUEIRA, A.
773 $tBMC Plant Biology, p. 13:41, 2013.
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