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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
16/06/2011 |
Data da última atualização: |
31/08/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CORRÊA, L. C; SANTOS, C. A. F.; VIANELLO, F.; LIMA, G. P. P. |
Afiliação: |
LUIZ CLAUDIO CORRÊA, UNESP, Botucatu; CARLOS ANTONIO FERNANDES SANTOS, CPATSA; FABIO VIANELLO, University of Padova, Padova, Italy; GIUSEPPINA PACE P. LIMA, UNESP, Botucatu. |
Título: |
Antioxidant content in guava (Psidium guajava) and araçá (Psidium spp.) germplasm from different Brazilian regions. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
Plant Genetic Resources, v. 9, n. 3, p. 384-391, 2011. |
DOI: |
10.1017/S1479262111000025 |
Idioma: |
Português |
Conteúdo: |
These compounds were largely responsible for the antioxidant activity of the araçá accessions. |
Palavras-Chave: |
Antioxidantes; Melhoramento de plantas; Psidium spp. |
Thesagro: |
Araçá; Banco de Germoplasma; Fruta tropical; Goiaba. |
Thesaurus Nal: |
Guavas. |
Categoria do assunto: |
A Sistemas de Cultivo |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/36596/1/Carlos-Antonio-2011.pdf
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Marc: |
LEADER 00890naa a2200265 a 4500 001 1894356 005 2023-08-31 008 2011 bl uuuu u00u1 u #d 024 7 $a10.1017/S1479262111000025$2DOI 100 1 $aCORRÊA, L. C 245 $aAntioxidant content in guava (Psidium guajava) and araçá (Psidium spp.) germplasm from different Brazilian regions.$h[electronic resource] 260 $c2011 520 $aThese compounds were largely responsible for the antioxidant activity of the araçá accessions. 650 $aGuavas 650 $aAraçá 650 $aBanco de Germoplasma 650 $aFruta tropical 650 $aGoiaba 653 $aAntioxidantes 653 $aMelhoramento de plantas 653 $aPsidium spp 700 1 $aSANTOS, C. A. F. 700 1 $aVIANELLO, F. 700 1 $aLIMA, G. P. P. 773 $tPlant Genetic Resources$gv. 9, n. 3, p. 384-391, 2011.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
03/12/2019 |
Data da última atualização: |
03/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ANDRADE, L. R. B. de; SOUSA, M. B. e; OLIVEIRA, E. J. de; RESENDE, M. D. V. de; AZEVEDO, C. F. |
Afiliação: |
Luciano Rogério Braatz de Andrade, UFV; Massaine Bandeira e Sousa, Universidade Federal do Recôncavo da Bahia; EDER JORGE DE OLIVEIRA, CNPMF; MARCOS DEON VILELA DE RESENDE, CNPF; Camila Ferreira Azevedo, UFV. |
Título: |
Cassava yield traits predicted by genomic selection methods. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
PLoS One, v. 14, n. 11, e0224920, Nov. 2019. 22 p. |
DOI: |
10.1371/journal.pone.0224920 |
Idioma: |
Inglês |
Conteúdo: |
Genomic selection (GS) has been used to optimize genetic gains when phenotypic selection is considered costly and difficult to measure. The objective of this work was to evaluate the efficiency and consistency of GS prediction for cassava yield traits (Manihot esculenta Crantz) using different methods, taking into account the effect of population structure. BLUPs and deregressed BLUPs were obtained for 888 cassava accessions and evaluated for fresh root yield, dry root yield and dry matter content in roots in 21 trials conducted from 2011 to 2016. The deregressed BLUPs obtained for the accessions from a 48K single nucleotide polymorphism dataset were used for genomic predictions based on the BayesB, BLASSO, RR-BLUP, G-BLUP and RKHS methods. The accessions? BLUPs were used in the validation step using four cross-validation strategies, taking into account population structure and different GS methods. Similar estimates of predictive ability and bias were identified for the different genomic selection methods in the first cross-validation strategy. Lower predictive ability was observed for fresh root yield (0.4569 ?RR-BLUP to 0.4756?RKHS) and dry root yield (0.4689 ?G-BLUP to 0.4818?RKHS) in comparison with dry matter content (0.5655 ? BLASSO to 0.5670 ?RKHS). However, the RKHS method exhibited higher efficiency and consistency in most of the validation scenarios in terms of prediction ability for fresh root yield and dry root yield. The correlations of the genomic estimated breeding values between the genomic selection methods were quite high (0.99?1.00), resulting in high coincidence of clone selection regardless of the genomic selection method. The deviance analyses within and between the validation clusters formed by the discriminant analysis of principal components were significant for all traits. Therefore, this study indicated that i) the prediction of dry matter content was more accurate compared to that of yield traits, possibly as a result of the smaller influence of non-additive genetic effects; ii) the RKHS method resulted in high and stable prediction ability in most of the validation scenarios; and iii) some kinship between the validation and training populations is desirable in order for genomic selection to succeed due to the significant effect of population structure on genomic selection predictions. MenosGenomic selection (GS) has been used to optimize genetic gains when phenotypic selection is considered costly and difficult to measure. The objective of this work was to evaluate the efficiency and consistency of GS prediction for cassava yield traits (Manihot esculenta Crantz) using different methods, taking into account the effect of population structure. BLUPs and deregressed BLUPs were obtained for 888 cassava accessions and evaluated for fresh root yield, dry root yield and dry matter content in roots in 21 trials conducted from 2011 to 2016. The deregressed BLUPs obtained for the accessions from a 48K single nucleotide polymorphism dataset were used for genomic predictions based on the BayesB, BLASSO, RR-BLUP, G-BLUP and RKHS methods. The accessions? BLUPs were used in the validation step using four cross-validation strategies, taking into account population structure and different GS methods. Similar estimates of predictive ability and bias were identified for the different genomic selection methods in the first cross-validation strategy. Lower predictive ability was observed for fresh root yield (0.4569 ?RR-BLUP to 0.4756?RKHS) and dry root yield (0.4689 ?G-BLUP to 0.4818?RKHS) in comparison with dry matter content (0.5655 ? BLASSO to 0.5670 ?RKHS). However, the RKHS method exhibited higher efficiency and consistency in most of the validation scenarios in terms of prediction ability for fresh root yield and dry root yield. The correlations of the genomic estimated br... Mostrar Tudo |
Palavras-Chave: |
Genomic predictions; Heredity. |
Thesagro: |
Mandioca; Melhoramento Genético Vegetal. |
Thesaurus NAL: |
Cassava; Plant breeding. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205981/1/2019-M.Deon-PO-Cassava.pdf
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Marc: |
LEADER 03091naa a2200253 a 4500 001 2115740 005 2019-12-03 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1371/journal.pone.0224920$2DOI 100 1 $aANDRADE, L. R. B. de 245 $aCassava yield traits predicted by genomic selection methods.$h[electronic resource] 260 $c2019 520 $aGenomic selection (GS) has been used to optimize genetic gains when phenotypic selection is considered costly and difficult to measure. The objective of this work was to evaluate the efficiency and consistency of GS prediction for cassava yield traits (Manihot esculenta Crantz) using different methods, taking into account the effect of population structure. BLUPs and deregressed BLUPs were obtained for 888 cassava accessions and evaluated for fresh root yield, dry root yield and dry matter content in roots in 21 trials conducted from 2011 to 2016. The deregressed BLUPs obtained for the accessions from a 48K single nucleotide polymorphism dataset were used for genomic predictions based on the BayesB, BLASSO, RR-BLUP, G-BLUP and RKHS methods. The accessions? BLUPs were used in the validation step using four cross-validation strategies, taking into account population structure and different GS methods. Similar estimates of predictive ability and bias were identified for the different genomic selection methods in the first cross-validation strategy. Lower predictive ability was observed for fresh root yield (0.4569 ?RR-BLUP to 0.4756?RKHS) and dry root yield (0.4689 ?G-BLUP to 0.4818?RKHS) in comparison with dry matter content (0.5655 ? BLASSO to 0.5670 ?RKHS). However, the RKHS method exhibited higher efficiency and consistency in most of the validation scenarios in terms of prediction ability for fresh root yield and dry root yield. The correlations of the genomic estimated breeding values between the genomic selection methods were quite high (0.99?1.00), resulting in high coincidence of clone selection regardless of the genomic selection method. The deviance analyses within and between the validation clusters formed by the discriminant analysis of principal components were significant for all traits. Therefore, this study indicated that i) the prediction of dry matter content was more accurate compared to that of yield traits, possibly as a result of the smaller influence of non-additive genetic effects; ii) the RKHS method resulted in high and stable prediction ability in most of the validation scenarios; and iii) some kinship between the validation and training populations is desirable in order for genomic selection to succeed due to the significant effect of population structure on genomic selection predictions. 650 $aCassava 650 $aPlant breeding 650 $aMandioca 650 $aMelhoramento Genético Vegetal 653 $aGenomic predictions 653 $aHeredity 700 1 $aSOUSA, M. B. e 700 1 $aOLIVEIRA, E. J. de 700 1 $aRESENDE, M. D. V. de 700 1 $aAZEVEDO, C. F. 773 $tPLoS One$gv. 14, n. 11, e0224920, Nov. 2019. 22 p.
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