| |
|
|
|
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 |
|
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
|
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
|
Data corrente: |
17/08/2022 |
|
Data da última atualização: |
24/08/2022 |
|
Tipo da produção científica: |
Resumo em Anais de Congresso |
|
Autoria: |
LIMA, F. M. G.; RIPARDO, V. J. S.; NASCIMENTO, V. R.; GUEDES, F. L. |
|
Afiliação: |
FRANCISCO MATEUS GOMES LIMA; VITÓRIA JAINA SILVA RIPARDO; VALDELÂNIA RIPARDO NASCIMENTO; FERNANDO LISBOA GUEDES, CNPC. |
|
Título: |
Avaliação de genótipos elites de sorgo granífero no estado do Ceará. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA CAPRINOS E OVINOS, 10., 2021, Sobral. Anais... Sobral: Embrapa Caprinos e Ovinos, 2022. p. 13-14. |
|
Idioma: |
Português |
|
Notas: |
Suporte financeiro: Embrapa e CNPq. |
|
Conteúdo: |
O sorgo apresenta múltiplos usos tais como a produção de grãos, forragem, biomassa dentre outros. Assim, por se tratar de uma cultura mais tolerante a períodos de restrição hídrica e de menor custo de produção, a utilização do sorgo em final de período chuvoso ou em região com pouca pluviosidade, como no semiárido, se torna a opção mais adequada e segura em relação ao plantio de milho. O presente trabalho teve como objetivo avaliar e selecionar híbridos de sorgo granífero superprecoces, com alta estabilidade produtiva de grãos nas safras 2020 e 2021 em região semiárida cearense. O experimento foi conduzido na Embrapa Caprinos e Ovinos, no município de Sobral, CE. |
|
Palavras-Chave: |
Semiárido. |
|
Thesagro: |
Hibrido; Melhoramento Genético Vegetal; Sorgo Granífero. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1145498/1/CNPC-2022-Art17.pdf
|
|
Marc: |
LEADER 01431nam a2200205 a 4500
001 2145498
005 2022-08-24
008 2022 bl uuuu u00u1 u #d
100 1 $aLIMA, F. M. G.
245 $aAvaliação de genótipos elites de sorgo granífero no estado do Ceará.$h[electronic resource]
260 $aIn: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA CAPRINOS E OVINOS, 10., 2021, Sobral. Anais... Sobral: Embrapa Caprinos e Ovinos, 2022. p. 13-14.$c2022
500 $aSuporte financeiro: Embrapa e CNPq.
520 $aO sorgo apresenta múltiplos usos tais como a produção de grãos, forragem, biomassa dentre outros. Assim, por se tratar de uma cultura mais tolerante a períodos de restrição hídrica e de menor custo de produção, a utilização do sorgo em final de período chuvoso ou em região com pouca pluviosidade, como no semiárido, se torna a opção mais adequada e segura em relação ao plantio de milho. O presente trabalho teve como objetivo avaliar e selecionar híbridos de sorgo granífero superprecoces, com alta estabilidade produtiva de grãos nas safras 2020 e 2021 em região semiárida cearense. O experimento foi conduzido na Embrapa Caprinos e Ovinos, no município de Sobral, CE.
650 $aHibrido
650 $aMelhoramento Genético Vegetal
650 $aSorgo Granífero
653 $aSemiárido
700 1 $aRIPARDO, V. J. S.
700 1 $aNASCIMENTO, V. R.
700 1 $aGUEDES, F. L.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
