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Registro Completo |
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
11/10/2011 |
Data da última atualização: |
13/01/2012 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
SILVEIRA, S. M. da; OLIVEIRA, L. A. de; KIMURA, M.; SANTOS, V. da S.; FONSECA, M. D.; ANDRADE, M. V. S. de; SANTOS, A. de O.; SANTOS, W. de J.; SILVEIRA, D. M. de S.; SOUSA, M. R.; AMORIM, T. da S. |
Afiliação: |
SORAIA MACHADO DA SILVEIRA, FAMAM; LUCIANA ALVES DE OLIVEIRA, CNPMF; MIEKO KIMURA, UNESP; VANDERLEI DA SILVA SANTOS, CNPMF; MERCIA DAMASCENO FONSECA, FAMAM; MARCOS VINÍCIUS SILVA DE ANDRADE, UFRB; ALLANA DE OLIVEIRA SANTOS, FAMAM; WILTON DE JESUS SANTOS, UEFS; DEYSE MARIA DE SOUZA SILVEIRA, UFRB; MABEL RIBEIRO SOUSA, CNPMF; TATIANE DA SILVA AMORIM, CNPMF. |
Título: |
Avaliação do conteúdo de carotenóides e compostos cianogênicos em híbridos da mandioca da geração 2008. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
In: REUNIÃO DE BIOFORTIFICAÇÃO NO BRASIL, 4., 2011. Teresina. Palestras e resumos... Rio de Janeiro: Embrapa Agroindústria de Alimentos; Teresina: Embrapa Meio-Norte, 2011. 1 CD-ROM. Coordenadores: Marília Regini Nutti, Maurisrael de Moura Rocha. |
Páginas: |
4 p. |
Idioma: |
Português |
Notas: |
PDF .T92. |
Conteúdo: |
Este trabalho teve como objetivo avaliar o teor de carotenóides totais e compostos cianogênicos de híbridos de mandioca da Geração 2008. Foram avaliados 64 híbridos sendo que 14 apresentaram teor de carotenóides totais acima de 10 µg g-1 de mandioca fresca e conteúdo de compostos cianogênicos abaixo de 100 µg de HCN g-1. Dos 14 acessos, cinco possuem concentração de carotenoides totais entre 12,5 a 15,5 µg g-1 de mandioca fresca, com baixo conteúdo de compostos cianogênicos, entre 59,9 à 93,5 µg de HCN g-1 de mandioca fresca. Tais híbridos podem ser considerados promissores como fontes de carotenoides, podendo ser indicados aos agricultores como mandioca de mesa. |
Palavras-Chave: |
Caratenóides; Compostos cianogênicos. |
Thesagro: |
Mandioca; Manihot Esculenta. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/43318/1/AVALIACAO-DO-CONTEUDO-soraia-machado.pdf
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Marc: |
LEADER 01771nam a2200301 a 4500 001 1902905 005 2012-01-13 008 2011 bl uuuu u00u1 u #d 100 1 $aSILVEIRA, S. M. da 245 $aAvaliação do conteúdo de carotenóides e compostos cianogênicos em híbridos da mandioca da geração 2008. 260 $aIn: REUNIÃO DE BIOFORTIFICAÇÃO NO BRASIL, 4., 2011. Teresina. Palestras e resumos... Rio de Janeiro: Embrapa Agroindústria de Alimentos; Teresina: Embrapa Meio-Norte, 2011. 1 CD-ROM. Coordenadores: Marília Regini Nutti, Maurisrael de Moura Rocha.$c2011 300 $a4 p. 500 $aPDF .T92. 520 $aEste trabalho teve como objetivo avaliar o teor de carotenóides totais e compostos cianogênicos de híbridos de mandioca da Geração 2008. Foram avaliados 64 híbridos sendo que 14 apresentaram teor de carotenóides totais acima de 10 µg g-1 de mandioca fresca e conteúdo de compostos cianogênicos abaixo de 100 µg de HCN g-1. Dos 14 acessos, cinco possuem concentração de carotenoides totais entre 12,5 a 15,5 µg g-1 de mandioca fresca, com baixo conteúdo de compostos cianogênicos, entre 59,9 à 93,5 µg de HCN g-1 de mandioca fresca. Tais híbridos podem ser considerados promissores como fontes de carotenoides, podendo ser indicados aos agricultores como mandioca de mesa. 650 $aMandioca 650 $aManihot Esculenta 653 $aCaratenóides 653 $aCompostos cianogênicos 700 1 $aOLIVEIRA, L. A. de 700 1 $aKIMURA, M. 700 1 $aSANTOS, V. da S. 700 1 $aFONSECA, M. D. 700 1 $aANDRADE, M. V. S. de 700 1 $aSANTOS, A. de O. 700 1 $aSANTOS, W. de J. 700 1 $aSILVEIRA, D. M. de S. 700 1 $aSOUSA, M. R. 700 1 $aAMORIM, T. da S.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
24/09/2018 |
Data da última atualização: |
05/02/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
OLIVEIRA, A. A. de; PASTINA, M. M.; SOUZA, V. F. de; PARRELLA, R. A. da C.; NODA, R. W.; SIMEONE, M. L. F.; SCHAFFERT, R. E.; MAGALHAES, J. V. de; DAMASCENO, C. M. B.; MARGARIDO, G. R. A. |
Afiliação: |
Amanda Avelar de Oliveira; MARIA MARTA PASTINA, CNPMS; Vander Filipe de Souza; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; ROBERTO WILLIANS NODA, CNPMS; MARIA LUCIA FERREIRA SIMEONE, CNPMS; ROBERT EUGENE SCHAFFERT, CNPMS; JURANDIR VIEIRA DE MAGALHAES, CNPMS; CYNTHIA MARIA BORGES DAMASCENO, CNPMS; Gabriel Rodrigues Alves Margarido. |
Título: |
Genomic prediction applied to high-biomass sorghum for bioenergy production. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Molecular Breeding, v. 38, n. 49, p. 1-16, 2018. |
DOI: |
10.1007/s11032-018-0802-5 |
Idioma: |
Inglês |
Conteúdo: |
The increasing cost of energy and finite oil and gas reserves have created a need to develop alternative fuels from renewable sources. Due to its abiotic stress tolerance and annual cultivation, high-biomass sorghum (Sorghum bicolor L. Moench) shows potential as a bioenergy crop. Genomic selection is a useful tool for accelerating genetic gains and could restructure plant breeding programs by enabling early selection and reducing breeding cycle duration. This work aimed at predicting breeding values via genomic selection models for 200 sorghum genotypes comprising landrace accessions and breeding lines from biomass and saccharine groups. These genotypes were divided into two sub-panels, according to breeding purpose. We evaluated the following phenotypic biomass traits: days to flowering, plant height, fresh and dry matter yield, and fiber, cellulose, hemicellulose, and lignin proportions. Genotyping by sequencing yielded more than 258,000 single-nucleotide polymorphism markers, which revealed population structure between subpanels. We then fitted and compared genomic selection models BayesA, BayesB, BayesC?, BayesLasso, Bayes Ridge Regression and random regression best linear unbiased predictor. The resulting predictive abilities varied little between the different models, but substantially between traits. Different scenarios of prediction showed the potential of using genomic selection results between sub-panels and years, although the genotype by environment interaction negatively affected accuracies. Functional enrichment analyses performed with the marker-predicted effects suggested several interesting associations, with potential for revealing biological processes relevant to the studied quantitative traits. This work shows that genomic selection can be successfully applied in biomass sorghum breeding programs. MenosThe increasing cost of energy and finite oil and gas reserves have created a need to develop alternative fuels from renewable sources. Due to its abiotic stress tolerance and annual cultivation, high-biomass sorghum (Sorghum bicolor L. Moench) shows potential as a bioenergy crop. Genomic selection is a useful tool for accelerating genetic gains and could restructure plant breeding programs by enabling early selection and reducing breeding cycle duration. This work aimed at predicting breeding values via genomic selection models for 200 sorghum genotypes comprising landrace accessions and breeding lines from biomass and saccharine groups. These genotypes were divided into two sub-panels, according to breeding purpose. We evaluated the following phenotypic biomass traits: days to flowering, plant height, fresh and dry matter yield, and fiber, cellulose, hemicellulose, and lignin proportions. Genotyping by sequencing yielded more than 258,000 single-nucleotide polymorphism markers, which revealed population structure between subpanels. We then fitted and compared genomic selection models BayesA, BayesB, BayesC?, BayesLasso, Bayes Ridge Regression and random regression best linear unbiased predictor. The resulting predictive abilities varied little between the different models, but substantially between traits. Different scenarios of prediction showed the potential of using genomic selection results between sub-panels and years, although the genotype by environment interaction n... Mostrar Tudo |
Palavras-Chave: |
Genotipagem. |
Thesagro: |
Bioenergia; Biomassa. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/183412/1/Genomic-prediction.pdf
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Marc: |
LEADER 02655naa a2200277 a 4500 001 2096210 005 2019-02-05 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1007/s11032-018-0802-5$2DOI 100 1 $aOLIVEIRA, A. A. de 245 $aGenomic prediction applied to high-biomass sorghum for bioenergy production.$h[electronic resource] 260 $c2018 520 $aThe increasing cost of energy and finite oil and gas reserves have created a need to develop alternative fuels from renewable sources. Due to its abiotic stress tolerance and annual cultivation, high-biomass sorghum (Sorghum bicolor L. Moench) shows potential as a bioenergy crop. Genomic selection is a useful tool for accelerating genetic gains and could restructure plant breeding programs by enabling early selection and reducing breeding cycle duration. This work aimed at predicting breeding values via genomic selection models for 200 sorghum genotypes comprising landrace accessions and breeding lines from biomass and saccharine groups. These genotypes were divided into two sub-panels, according to breeding purpose. We evaluated the following phenotypic biomass traits: days to flowering, plant height, fresh and dry matter yield, and fiber, cellulose, hemicellulose, and lignin proportions. Genotyping by sequencing yielded more than 258,000 single-nucleotide polymorphism markers, which revealed population structure between subpanels. We then fitted and compared genomic selection models BayesA, BayesB, BayesC?, BayesLasso, Bayes Ridge Regression and random regression best linear unbiased predictor. The resulting predictive abilities varied little between the different models, but substantially between traits. Different scenarios of prediction showed the potential of using genomic selection results between sub-panels and years, although the genotype by environment interaction negatively affected accuracies. Functional enrichment analyses performed with the marker-predicted effects suggested several interesting associations, with potential for revealing biological processes relevant to the studied quantitative traits. This work shows that genomic selection can be successfully applied in biomass sorghum breeding programs. 650 $aBioenergia 650 $aBiomassa 653 $aGenotipagem 700 1 $aPASTINA, M. M. 700 1 $aSOUZA, V. F. de 700 1 $aPARRELLA, R. A. da C. 700 1 $aNODA, R. W. 700 1 $aSIMEONE, M. L. F. 700 1 $aSCHAFFERT, R. E. 700 1 $aMAGALHAES, J. V. de 700 1 $aDAMASCENO, C. M. B. 700 1 $aMARGARIDO, G. R. A. 773 $tMolecular Breeding$gv. 38, n. 49, p. 1-16, 2018.
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Embrapa Milho e Sorgo (CNPMS) |
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