| |
|
|
| Registros recuperados : 82 | |
| 10. |  | RODRIGUES, E. V.; SILVA, K. J. D. e; BASTOS, E. A.; ROCHA, M. de M. Tolerância ao déficit hídrico em populações F2 de feijão-caupi. In: CONGRESSO NACIONAL DE FEIJÃO-CAUPI, 4., 2016, Sorriso, MT. Feijão-caupi: avanços e desafios tecnológicos e de mercado: resumos. Brasília, DF: Embrapa, 2016. p. 199. Na publicação: Kaesel Jackson Damasceno-Silva.| Biblioteca(s): Embrapa Meio-Norte. |
|    |
| 11. | | RODRIGUES, E. V.; SILVA, K. J. D. e; BASTOS, E. A.; ROCHA, M. de M.; SANTOS, A. dos. Análise dialélica para a obtenção de populações de feijão-caupi tolerantes ao déficit hídrico. In: CONGRESSO NACIONAL DE FEIJÃO-CAUPI, 4., 2016, Sorriso. Feijão-caupi: avanços e desafios tecnológicos e de mercado: resumos. Brasília, DF: Embrapa, 2016. p. 134. Na publicação: Kaesel Jackson Damasceno-Silva.| Biblioteca(s): Embrapa Meio-Norte. |
| |
| 12. | | RODRIGUES, E. V.; SILVA, K. J. D. e; BASTOS, E. A.; ROCHA, M. de M.; TEODORO, P. E. T. Contribuição de caracteres agronômicos para a produtividade de grãos em feijão-caupi irrigado. In: CONGRESSO NACIONAL DE FEIJÃO-CAUPI, 4., 2016, Sorriso. Feijão-caupi: avanços e desafios tecnológicos e de mercado: resumos. Brasília, DF: Embrapa, 2016. p. 155. Na publicação: Kaesel Jackson Damasceno-Silva.| Biblioteca(s): Embrapa Meio-Norte. |
| |
| 13. | | RODRIGUES, E. V.; SILVA, K. J. D. e; BASTOS, E. A.; ROCHA, M. de M.; SANTOS, A. dos. Correlações entre caracteres e estimativas de parâmetros genéticos em populações F2 de feijão-caupi sob déficit hídrico e irrigação. In: CONGRESSO NACIONAL DE FEIJÃO-CAUPI, 4., 2016, Sorriso. Feijão-caupi: avanços e desafios tecnológicos e de mercado: resumos. Brasília, DF: Embrapa, 2016. p. 157. Na publicação: Kaesel Jackson Damasceno-Silva.| Biblioteca(s): Embrapa Meio-Norte. |
| |
| 15. | | RODRIGUES, E. V.; SILVA, B. B. da; SILVA, K. J. D. e; ROCHA, M. de M.; FREIRE FILHO, F. R. Divergência genético-morfológica entre acessos de feijão caupi de porte semi-ereto e ereto. In: SIMPÓSIO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2008, Brasília, DF. Anais... Brasília, DF: Embrapa Recursos Genéticos e Biotecnologia, 2008. p. 191| Biblioteca(s): Embrapa Meio-Norte. |
| |
| 16. | | RODRIGUES, E. V.; SILVA, K. J. D. e; ROCHA, M. de M.; BASTOS, E. A.; SANTOS, A. dos. Diallel analysis of tolerance to drought in cowpea genotypes. Revista Caatinga, Mossoró, v. 31, n. 1, p. 40-47, jan./mar. 2018.| Biblioteca(s): Embrapa Meio-Norte. |
| |
| 18. | | PEIXOTO, L. de A.; TEODORO, P. E.; SILVA, L. A.; RODRIGUES, E. V.; LAVIOLA, B. G.; BHERING, L. L. Jatropha half-sib family selection with high adaptability and genotypic stability. Plos One, v. 13, n. 7, artigo e0199880, 2018.| Biblioteca(s): Embrapa Agroenergia. |
|  |
| 19. | | SILVA, L. R. A. da; RODRIGUES, E. V.; SILVA, V. B. da; GOMES, R. L. F.; ROCHA, M. de M. Avaliação agronômica de genótipos de feijão-caupi para feijão-verde. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. 5 p. 1 CD-ROM.| Biblioteca(s): Embrapa Meio-Norte. |
| |
| Registros recuperados : 82 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Agroenergia. |
|
Data corrente: |
10/12/2021 |
|
Data da última atualização: |
10/12/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
SANTOS, A. dos; RODRIGUES, E. V.; LAVIOLA, B. G.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. |
|
Afiliação: |
ADRIANO DOS SANTOS, A&E Statistical Analysis and Consulting; ERINA VITÓRIO RODRIGUES, Universidade de Brasília; BRUNO GALVEAS LAVIOLA, CNPAE; LARISSA PEREIRA RIBEIRO TEODORO, Universidade Federal do Mato Grosso do Sul; PAULO EDUARDO TEODORO, Universidade Federal do Mato Grosso do Sul; LEONARDO LOPES BHERING, Universidade Federal de Viçosa. |
|
Título: |
Increasing selection gain and accuracy of harvest prediction models in Jatropha through genome-wide selection. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Scientific Reports, v. 11, 13583, 2021. |
|
Páginas: |
9 p. |
|
DOI: |
https://doi.org/10.1038/s41598-021-93022-0 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract: Genome-wide selection (GWS) has been becoming an essential tool in the genetic breeding of long-life species, as it increases the gain per time unit. This study had a hypothesis that GWS is a tool that can decrease the breeding cycle in Jatropha. Our objective was to compare GWS with phenotypic selection in terms of accuracy and efficiency over three harvests. Models were developed throughout the harvests to evaluate their applicability in predicting genetic values in later harvests. For this purpose, 386 individuals of the breeding population obtained from crossings between 42 parents were evaluated. The population was evaluated in random block design, with six replicates over three harvests. The genetic effects of markers were predicted in the population using 811 SNP's markers with call rate = 95% and minor allele frequency (MAF) > 4%. GWS enables gains of 108 to 346% over the phenotypic selection, with a 50% reduction in the selection cycle. This technique has potential for the Jatropha breeding since it allows the accurate obtaining of GEBV and higher efficiency compared to the phenotypic selection by reducing the time necessary to complete the selection cycle. In order to apply GWS in the first harvests, a large number of individuals in the breeding population are needed. In the case of few individuals in the population, it is recommended to perform a larger number of harvests. |
|
Palavras-Chave: |
Genome-wide selection. |
|
Thesaurus NAL: |
Accuracy; Breeding and Genetic Improvement; Genome; Jatropha. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228886/1/Increasing-selection-gain-and-accuracy-2021.pdf
|
|
Marc: |
LEADER 02244naa a2200265 a 4500
001 2137473
005 2021-12-10
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1038/s41598-021-93022-0$2DOI
100 1 $aSANTOS, A. dos
245 $aIncreasing selection gain and accuracy of harvest prediction models in Jatropha through genome-wide selection.$h[electronic resource]
260 $c2021
300 $a9 p.
520 $aAbstract: Genome-wide selection (GWS) has been becoming an essential tool in the genetic breeding of long-life species, as it increases the gain per time unit. This study had a hypothesis that GWS is a tool that can decrease the breeding cycle in Jatropha. Our objective was to compare GWS with phenotypic selection in terms of accuracy and efficiency over three harvests. Models were developed throughout the harvests to evaluate their applicability in predicting genetic values in later harvests. For this purpose, 386 individuals of the breeding population obtained from crossings between 42 parents were evaluated. The population was evaluated in random block design, with six replicates over three harvests. The genetic effects of markers were predicted in the population using 811 SNP's markers with call rate = 95% and minor allele frequency (MAF) > 4%. GWS enables gains of 108 to 346% over the phenotypic selection, with a 50% reduction in the selection cycle. This technique has potential for the Jatropha breeding since it allows the accurate obtaining of GEBV and higher efficiency compared to the phenotypic selection by reducing the time necessary to complete the selection cycle. In order to apply GWS in the first harvests, a large number of individuals in the breeding population are needed. In the case of few individuals in the population, it is recommended to perform a larger number of harvests.
650 $aAccuracy
650 $aBreeding and Genetic Improvement
650 $aGenome
650 $aJatropha
653 $aGenome-wide selection
700 1 $aRODRIGUES, E. V.
700 1 $aLAVIOLA, B. G.
700 1 $aTEODORO, L. P. R.
700 1 $aTEODORO, P. E.
700 1 $aBHERING, L. L.
773 $tScientific Reports$gv. 11, 13583, 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agroenergia (CNPAE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
