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| Registros recuperados : 19 | |
| 10. |  | SANTANA, F. A.; OLIVEIRA, L. A. de; GODOY, R. C. B. de; AMORIM, T. da S.; FONSECA, M. D. Influência do momento de adição do ácido cítrico no processamento de doce de banana em corte. In: CONGRESSO BRASILEIRO DE CIÊNCIA E TECNOLOGIA DE ALIMENTOS, 22., 2010, Salvador. Potencialidades, desafios e inovações. Salvador: sbCTA, 2010. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 12. | | GODOY, R. C. B. de; WASZCZYNSKJ, N.; SANTANA, F. A.; SILVA, S. de O. e; SOUZA NETO, M. A.; OLIVEIRA, L. A. de; LEDO, C. A. da S. Banana cultivars with resistance to black leaf streak and potential for jam processing. Acta Horticulturae, n. 986, p. 309-317, 2013. Trabalho apresentado no ISHS - ProMusa Symposium on Bananas and Plantains: Towards Sustainable Global Production and Improved Uses. Eds.: I. Van den Bergh et al.| Biblioteca(s): Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
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| 14. | | GODOY, R. C. B. de; BATISTA, D. V. S.; AZEREDO, H. M. C. de; OLIVEIRA, L. A. de; BENASSI, V. de T.; MANDARINO, J. M. G. Addition of passion fruit pulp as an alternative to enhance the flavor and nutritional value of a soybean beverage. In: PANGBORN SENSORY SCIENCE SYMPOSIUM, 10., 2013, Rio de Janeiro. Abstracts. [S.l.]: Rogil, 2013. Disponibilizado online mediante login e senha.| Biblioteca(s): Embrapa Florestas; Embrapa Soja. |
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| 16. | | FUKUDA, W. G.; OLIVEIRA, L. A. de; GAMA, E. V. S.; AMORIM, T. da S.; GODOY, R. C. B. de; SILVA JUNIOR, J. J. da; SANTOS, D. V. Chips de mandioca elaborados com diferentes variedades e processos. In: CONGRESSO BRASILEIRO DE MANDIOCA, 11., 2005, Campo Grande. Ciência e tecnologia para a raiz do Brasil: anais. Campo Grande: Governo do Estado; Dourados: Embrapa Agropecuária Oeste, 2005. 1 CD-ROM.| Biblioteca(s): Embrapa Florestas. |
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| 17. | | GODOY, R. C. B. de; WASZCZYNSKY, N.; SANTANA, F. A.; SILVA, S. de O. e; OLIVEIRA, L. A. de; SANTOS, G. G. dos. Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes. Ciência Rural, Santa Maria, v. 46, n. 9, p. 1514-1520, set. 2016.| Biblioteca(s): Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
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| 18. | | GODOY, R. C. B. de; WASZCZYNSKYJ, N.; SANTANA, F. A.; SILVA, S. de O.; SOUSA NETO, M. A. de; LEDO, C. A. da S.; OLIVEIRA, L. A. de. Varieties resistant to black leaf streak with the potential for jams processing. In: ISHS/PROMUSA SYMPOSIUM, 2011, Salvador. Bananas and plantains: toward sustainable global production and improved uses: abstracts. [S.l.]: ISHS, 2011. p. 152-153.| Biblioteca(s): Embrapa Florestas; Embrapa Mandioca e Fruticultura. |
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| 19. | | OLIVEIRA, E. J. de; RESENDE, M. D. V. de; SANTOS, V. da S.; FERREIRA, C. F.; OLIVEIRA, G. A. F.; SILVA, M. S. da; OLIVEIRA, L. A. de; AGUILAR-VILDOSO, C. I. Genome-wide selection in cassava. Euphytica, v.187, p. 263-276, 2012.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 19 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
23/10/2012 |
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Data da última atualização: |
20/02/2015 |
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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: |
OLIVEIRA, E. J. de; RESENDE, M. D. V. de; SANTOS, V. da S.; FERREIRA, C. F.; OLIVEIRA, G. A. F.; SILVA, M. S. da; OLIVEIRA, L. A. de; AGUILAR-VILDOSO, C. I. |
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Afiliação: |
EDER JORGE DE OLIVEIRA, CNPMF; MARCOS DEON VILELA DE RESENDE, CNPF; VANDERLEI DA SILVA SANTOS, CNPMF; CLAUDIA FORTES FERREIRA, CNPMF; GILMARA ALVARENGA FACHARDO OLIVEIRA, Universidade Federal do Recôncavo da Bahia; MAIANE SUZARTE DA SILVA, Universidade Federal do Recôncavo da Bahia; LUCIANA ALVES DE OLIVEIRA, CNPMF; CARLOS IVAN AGUILAR-VILDOSO, Bolsista CNPQ/CNPMF. |
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Título: |
Genome-wide selection in cassava. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Euphytica, v.187, p. 263-276, 2012. |
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Idioma: |
Inglês |
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Conteúdo: |
The main objective of this study was to estimate the selection accuracy and to predict the genetic gain in cassava breeding using genomic selection methodologies. We evaluated 358 cassava genotypes for the following traits: shoot weight (SW), fresh root yield (FRY), starch fraction amylose content (AC), dry matter content (DMC), and starch yield (S-Y). Genotyping was performed using 390 single nucleotide polymorphisms (SNPs), which were used as covariates in the random regression-best linear unbiased prediction model for genomic selection. The heritability values detected by markers for the SW, FRY, AC, DMC, and S-Y traits were 0.25, 0.25, 0.03, 0.20, and 0.26, respectively. Because the low heritability detected for AC, this trait was eliminated from further analysis. Using only the most informative SNPs (118, 92, 56, and 97 SNPs for SW, FRY, DMC, and S-Y, respectively) we observed higher selection accuracy which were 0.83, 0.76, 0.67, and 0.77, respectively to SW, FRY, DMC, and S-Y. With these levels of accuracy and considering a selection cycle reduced by half the time, the theoretical gains with genomic selection compared to phenotypic selection for DMC, FRY, and SW would be 39.42 %, 56.90 %, and 73.96 %, respectively. These results indicate that in the cassava, genomic selection can substantially speed up selection cycles, thereby increasing gains per unit time. Although there are high expectations for incorporating this strategy into breeding programs, we still need to validate the model for other traits and evaluate whether the selection accuracy can be improved using more SNPs. MenosThe main objective of this study was to estimate the selection accuracy and to predict the genetic gain in cassava breeding using genomic selection methodologies. We evaluated 358 cassava genotypes for the following traits: shoot weight (SW), fresh root yield (FRY), starch fraction amylose content (AC), dry matter content (DMC), and starch yield (S-Y). Genotyping was performed using 390 single nucleotide polymorphisms (SNPs), which were used as covariates in the random regression-best linear unbiased prediction model for genomic selection. The heritability values detected by markers for the SW, FRY, AC, DMC, and S-Y traits were 0.25, 0.25, 0.03, 0.20, and 0.26, respectively. Because the low heritability detected for AC, this trait was eliminated from further analysis. Using only the most informative SNPs (118, 92, 56, and 97 SNPs for SW, FRY, DMC, and S-Y, respectively) we observed higher selection accuracy which were 0.83, 0.76, 0.67, and 0.77, respectively to SW, FRY, DMC, and S-Y. With these levels of accuracy and considering a selection cycle reduced by half the time, the theoretical gains with genomic selection compared to phenotypic selection for DMC, FRY, and SW would be 39.42 %, 56.90 %, and 73.96 %, respectively. These results indicate that in the cassava, genomic selection can substantially speed up selection cycles, thereby increasing gains per unit time. Although there are high expectations for incorporating this strategy into breeding programs, we still need to ... Mostrar Tudo |
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Thesagro: |
Mandioca; Seleção Genética. |
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Categoria do assunto: |
-- |
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Marc: |
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245 $aGenome-wide selection in cassava.$h[electronic resource]
260 $c2012
520 $aThe main objective of this study was to estimate the selection accuracy and to predict the genetic gain in cassava breeding using genomic selection methodologies. We evaluated 358 cassava genotypes for the following traits: shoot weight (SW), fresh root yield (FRY), starch fraction amylose content (AC), dry matter content (DMC), and starch yield (S-Y). Genotyping was performed using 390 single nucleotide polymorphisms (SNPs), which were used as covariates in the random regression-best linear unbiased prediction model for genomic selection. The heritability values detected by markers for the SW, FRY, AC, DMC, and S-Y traits were 0.25, 0.25, 0.03, 0.20, and 0.26, respectively. Because the low heritability detected for AC, this trait was eliminated from further analysis. Using only the most informative SNPs (118, 92, 56, and 97 SNPs for SW, FRY, DMC, and S-Y, respectively) we observed higher selection accuracy which were 0.83, 0.76, 0.67, and 0.77, respectively to SW, FRY, DMC, and S-Y. With these levels of accuracy and considering a selection cycle reduced by half the time, the theoretical gains with genomic selection compared to phenotypic selection for DMC, FRY, and SW would be 39.42 %, 56.90 %, and 73.96 %, respectively. These results indicate that in the cassava, genomic selection can substantially speed up selection cycles, thereby increasing gains per unit time. Although there are high expectations for incorporating this strategy into breeding programs, we still need to validate the model for other traits and evaluate whether the selection accuracy can be improved using more SNPs.
650 $aMandioca
650 $aSeleção Genética
700 1 $aRESENDE, M. D. V. de
700 1 $aSANTOS, V. da S.
700 1 $aFERREIRA, C. F.
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700 1 $aOLIVEIRA, L. A. de
700 1 $aAGUILAR-VILDOSO, C. I.
773 $tEuphytica$gv.187, p. 263-276, 2012.
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