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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
10/01/2023 |
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Data da última atualização: |
10/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANDRADE, L. R. B. de; SOUSA, M. B. e; WOLFE, M.; JANNINK, J. L.; RESENDE, M. D. V. de; AZEVEDO, C. F.; OLIVEIRA, E. J. de. |
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Afiliação: |
LUCIANO ROGÉRIO BRAATZ DE ANDRADE, UNIVERSIDADE FEDERAL DE VIÇOSA; MASSAINE BANDEIRA E SOUSA, EMBRAPA MANDIOCA E FRUTICULTURA; MARNIN WOLFE, AUBURN UNIVERSITY; JEAN-LUC JANNINK, CORNELL UNIVERSITY; MARCOS DEON VILELA DE RESENDE, CNPCa; CAMILA FERREIRA AZEVEDO, UNIVERSIDADE FEDERAL DE VIÇOSA; EDER JORGE DE OLIVEIRA, CNPMF. |
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Título: |
Increasing cassava root yield: additive-dominant genetic models for selection of parents and clones. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 13, article 1071156, 2022. |
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DOI: |
https://doi.org/10.3389/fpls.2022.1071156 |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined with genetic models in clone and parent selection with the goal of increasing fresh root yield, dry root yield, as well as dry matter content in cassava roots. The bias and predictive ability of the combinations of prediction methods Genomic Best Linear Unbiased Prediction (G-BLUP), Bayes B, Bayes Cr, and Reproducing Kernel Hilbert Spaces with additive and additive-dominant genetic models were estimated. Fresh and dry root yield exhibited predominantly dominant heritability, while dry matter content exhibited predominantly additive heritability. The combination of prediction methods and genetic models did not show significant differences in the predictive ability for dry matter content. On the other hand, the prediction methods with additive-dominant genetic models had significantly higher predictive ability than the additive genetic models for fresh and dry root yield, allowing higher genetic gains in clone selection. However, higher predictive ability for genotypic values did not result in differences in breeding value predictions between additive and additive-dominant genetic models. G-BLUP with the classical additive-dominant genetic model had the best predictive ability and bias estimates for fresh and dry root yield. For dry matter content, the highest predictive ability was obtained by G-BLUP with the additive genetic model. Dry matter content exhibited the highest heritability, predictive ability, and bias estimates compared with other traits. The prediction methods showed similar selection gains with approximately 67% of the phenotypic selection gain. By shortening the breeding cycle time by 40%, genomic selection may overcome phenotypic selection by 10%, 13%, and 18% for fresh root yield, dry root yield, and dry matter content, respectively, with a selection proportion of 15%. The most suitable genetic model for each trait allows for genomic selection optimization in cassava with high selection gains, thereby accelerating the release of new varieties. MenosGenomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined with genetic models in clone and parent selection with the goal of increasing fresh root yield, dry root yield, as well as dry matter content in cassava roots. The bias and predictive ability of the combinations of prediction methods Genomic Best Linear Unbiased Prediction (G-BLUP), Bayes B, Bayes Cr, and Reproducing Kernel Hilbert Spaces with additive and additive-dominant genetic models were estimated. Fresh and dry root yield exhibited predominantly dominant heritability, while dry matter content exhibited predominantly additive heritability. The combination of prediction methods and genetic models did not show significant differences in the predictive ability for dry matter content. On the other hand, the prediction methods with additive-dominant genetic models had significantly higher predictive ability than the additive genetic models for fresh and dry root yield, allowing higher genetic gains in clone selection. However, higher predictive ability for genotypic values did not result in differences in breeding value predictions between additive and additive-dominant genetic models. G-BLUP with the classical additive-dominant genetic model had the best predictive ability and bias estimates for fresh and dry root yield. For dry matter content, the highest predictive ability w... Mostrar Tudo |
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Thesaurus Nal: |
Breeding value; Cassava; Clones; Genomics; Natural selection; Plant breeding. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150823/1/Increasing-cassava-root-yield.pdf
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Marc: |
LEADER 03028naa a2200277 a 4500
001 2150823
005 2023-01-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fpls.2022.1071156$2DOI
100 1 $aANDRADE, L. R. B. de
245 $aIncreasing cassava root yield$badditive-dominant genetic models for selection of parents and clones.$h[electronic resource]
260 $c2022
520 $aGenomic selection has been promising in situations where phenotypic assessments are expensive, laborious, and/or inefficient. This work evaluated the efficiency of genomic prediction methods combined with genetic models in clone and parent selection with the goal of increasing fresh root yield, dry root yield, as well as dry matter content in cassava roots. The bias and predictive ability of the combinations of prediction methods Genomic Best Linear Unbiased Prediction (G-BLUP), Bayes B, Bayes Cr, and Reproducing Kernel Hilbert Spaces with additive and additive-dominant genetic models were estimated. Fresh and dry root yield exhibited predominantly dominant heritability, while dry matter content exhibited predominantly additive heritability. The combination of prediction methods and genetic models did not show significant differences in the predictive ability for dry matter content. On the other hand, the prediction methods with additive-dominant genetic models had significantly higher predictive ability than the additive genetic models for fresh and dry root yield, allowing higher genetic gains in clone selection. However, higher predictive ability for genotypic values did not result in differences in breeding value predictions between additive and additive-dominant genetic models. G-BLUP with the classical additive-dominant genetic model had the best predictive ability and bias estimates for fresh and dry root yield. For dry matter content, the highest predictive ability was obtained by G-BLUP with the additive genetic model. Dry matter content exhibited the highest heritability, predictive ability, and bias estimates compared with other traits. The prediction methods showed similar selection gains with approximately 67% of the phenotypic selection gain. By shortening the breeding cycle time by 40%, genomic selection may overcome phenotypic selection by 10%, 13%, and 18% for fresh root yield, dry root yield, and dry matter content, respectively, with a selection proportion of 15%. The most suitable genetic model for each trait allows for genomic selection optimization in cassava with high selection gains, thereby accelerating the release of new varieties.
650 $aBreeding value
650 $aCassava
650 $aClones
650 $aGenomics
650 $aNatural selection
650 $aPlant breeding
700 1 $aSOUSA, M. B. e
700 1 $aWOLFE, M.
700 1 $aJANNINK, J. L.
700 1 $aRESENDE, M. D. V. de
700 1 $aAZEVEDO, C. F.
700 1 $aOLIVEIRA, E. J. de
773 $tFrontiers in Plant Science$gv. 13, article 1071156, 2022.
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Registro original: |
Embrapa Café (CNPCa) |
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
06/12/2021 |
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Data da última atualização: |
06/12/2021 |
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Tipo da produção científica: |
Comunicado Técnico/Recomendações Técnicas |
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Autoria: |
SOUSA, V. S. de; ARAÚJO JUNIOR, C. P. de; SOUZA FILHO, M. de S. M. de; FEITOSA, J. P. de A.; AZEREDO, H. M. C. de. |
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Afiliação: |
VIVANIA ALVES DE SOUSA, Bacharel em Química, doutoranda em Química, Universidade Federal do Ceará; CELSO PIRES DE ARAÚJO JUNIOR, Bacharel em Química, doutor em Química, Universidade Federal do Ceará; MEN DE SA MOREIRA DE SOUZA FILHO, CNPAT; JUDITH PESSOA DE ANDRADE FEITOSA, Professora titular do Departamento de Química, Universidade Federal do Ceará; HENRIETTE MONTEIRO C DE AZEREDO, CNPAT. |
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Título: |
Lignina de tegumento de semente de manga como componente ativo em filme de amido de milho. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Fortaleza: Embrapa Agroindústria Tropical, 2021. |
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Série: |
(Embrapa Agroindústria Tropical. Comunicado técnico, 276). |
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Idioma: |
Português |
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Conteúdo: |
O objetivo deste Comunicado Técnico é explorar os benefícios da adição de lignina de tegumento de semente de manga sobre as propriedades de filmes de amido de milho 1 e sua possível aplicabilidade. Já são bem conhecidos os problemas ambientais associados ao descarte maciço e contínuo de materiais plásticos de uso único, a exemplo das embalagens de alimentos, além dos esforços de pesquisa realizados no sentido de substituir, pelo menos parcialmente, os polímeros derivados de petróleo, geralmente usados como matrizes de tais materiais. Na Embrapa Agroindústria Tropical, diversos estudos têm sido desenvolvidos objetivando o desenvolvimento de filmes à base de compostos extraídos de subprodutos de manga, em um contexto de biorrefinaria. |
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Palavras-Chave: |
Tommy Atkins. |
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Thesagro: |
Lignina; Manga. |
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Thesaurus NAL: |
Lignin; Mangifera. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228521/1/CT-276.pdf
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Marc: |
LEADER 01488nam a2200229 a 4500
001 2137121
005 2021-12-06
008 2021 bl uuuu u0uu1 u #d
100 1 $aSOUSA, V. S. de
245 $aLignina de tegumento de semente de manga como componente ativo em filme de amido de milho.$h[electronic resource]
260 $aFortaleza: Embrapa Agroindústria Tropical$c2021
490 $a(Embrapa Agroindústria Tropical. Comunicado técnico, 276).
520 $aO objetivo deste Comunicado Técnico é explorar os benefícios da adição de lignina de tegumento de semente de manga sobre as propriedades de filmes de amido de milho 1 e sua possível aplicabilidade. Já são bem conhecidos os problemas ambientais associados ao descarte maciço e contínuo de materiais plásticos de uso único, a exemplo das embalagens de alimentos, além dos esforços de pesquisa realizados no sentido de substituir, pelo menos parcialmente, os polímeros derivados de petróleo, geralmente usados como matrizes de tais materiais. Na Embrapa Agroindústria Tropical, diversos estudos têm sido desenvolvidos objetivando o desenvolvimento de filmes à base de compostos extraídos de subprodutos de manga, em um contexto de biorrefinaria.
650 $aLignin
650 $aMangifera
650 $aLignina
650 $aManga
653 $aTommy Atkins
700 1 $aARAÚJO JUNIOR, C. P. de
700 1 $aSOUZA FILHO, M. de S. M. de
700 1 $aFEITOSA, J. P. de A.
700 1 $aAZEREDO, H. M. C. de
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Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
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