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| Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria Tropical. Para informações adicionais entre em contato com cnpat.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Agroindústria Tropical. |
Data corrente: |
30/08/2013 |
Data da última atualização: |
10/04/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
OLIVEIRA, L. de S.; MOURA, C. F. H.; BRITO, E. S. de; MAMEDE, R. V. S.; MIRANDA, M. R. A. de. |
Afiliação: |
Luciana de Siqueira Oliveira, UFC - Depto Bioquímica e Biologia Molecular; CARLOS FARLEY HERBSTER MOURA, CNPAT; EDY SOUSA DE BRITO, CNPAT; Rosa Virgínia Soares Mamede, Embrapa - Bolsista; Maria Raquel Alcântra de Miranda, UFC - Depto. Bioquímica e Biologia Molecular. |
Título: |
Antioxidant metabolism during fruit development of different acerola (Malpighia emarginata D.C) clones. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Journal of Agricultural and Food Chemistry, v. 60, n. 32, p. 7957-7964, 2012. |
Idioma: |
Português |
Palavras-Chave: |
Amadurecimento; Antioxidant. |
Thesagro: |
Acerola; Antioxidante; Vitamina C. |
Thesaurus Nal: |
ripening. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00713naa a2200229 a 4500 001 1965288 005 2017-04-10 008 2012 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, L. de S. 245 $aAntioxidant metabolism during fruit development of different acerola (Malpighia emarginata D.C) clones.$h[electronic resource] 260 $c2012 650 $aripening 650 $aAcerola 650 $aAntioxidante 650 $aVitamina C 653 $aAmadurecimento 653 $aAntioxidant 700 1 $aMOURA, C. F. H. 700 1 $aBRITO, E. S. de 700 1 $aMAMEDE, R. V. S. 700 1 $aMIRANDA, M. R. A. de 773 $tJournal of Agricultural and Food Chemistry$gv. 60, n. 32, p. 7957-7964, 2012.
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Embrapa Agroindústria Tropical (CNPAT) |
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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
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
23/10/2012 |
Data da última atualização: |
20/02/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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. |
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. |
Título: |
Genome-wide selection in cassava. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Euphytica, v.187, p. 263-276, 2012. |
Idioma: |
Inglês |
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 |
Thesagro: |
Mandioca; Seleção Genética. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02235naa a2200229 a 4500 001 1937665 005 2015-02-20 008 2012 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, E. J. de 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. 700 1 $aOLIVEIRA, G. A. F. 700 1 $aSILVA, M. S. da 700 1 $aOLIVEIRA, L. A. de 700 1 $aAGUILAR-VILDOSO, C. I. 773 $tEuphytica$gv.187, p. 263-276, 2012.
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