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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
17/09/2018 |
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Data da última atualização: |
17/09/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BARILI, L. D.; VALE, N. M. do; SILVA, F. R. e; CARNEIRO, J. E. de S.; OLIVEIRA, H. R. de; VIANELLO, R. P.; VALDISSER, P. A. M. R.; NASCIMENTO, M. |
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Afiliação: |
LEIRI DAIANE BARILI, UFV; NAINE MARTINS DO VALE, COODETEC; FABYANO FONSECA E SILVA, UFV; JOSÉ EUSTAQUIO DE SOUZA CARNEIRO, UFV; HINAYAH ROJAS DE OLIVEIRA, UFV; ROSANA PEREIRA VIANELLO, CNPAF; PAULA ARIELLE M RIBEIRO VALDISSER, CNPAF; MOYSES NASCIMENTO, UFV. |
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Título: |
Genome prediction accuracy of common bean via Bayesian models. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Ciência Rural, v. 48, n. 8, e20170497, 2018. |
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ISSN: |
1678-4596 |
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DOI: |
10.1590/0103-8478cr20170497 |
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Idioma: |
Inglês |
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Conteúdo: |
We aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits ?stay-green? (SG), plant architecture (PA), grain aspect (GA) and grain yield (GY) in common bean through Bayesian models. These models were compared in terms of prediction accuracy and ability for heritability estimation for each one of the mentioned traits. A total of 80 cultivars were genotyped for 377 SNP markers, whose effects were estimated by five different Bayesian models: Bayes A (BA), B (BB), C (BC), LASSO (BL) e Ridge regression (BRR). Although, prediction accuracies calculated by means of cross-validation have been similar within each trait, the BB model stood out for the trait SG, whereas the BRR was indicated for the remaining traits. The heritability estimates for the traits SG, PA, GA and GY were 0.61, 0.28, 0.32 and 0.29, respectively. In summary, the Bayesian methods applied here were effective and ease to be implemented. The used SNP markers can help in the early selection of promising genotypes, since incorporating genomic information increase the prediction accuracy of the estimated genetic merit. |
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Palavras-Chave: |
Cross-validation; Validação cruzada. |
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Thesagro: |
Feijão; Marcador Molecular; Phaseolus Vulgaris. |
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Thesaurus Nal: |
Beans; Genetic markers; Marker-assisted selection. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/183081/1/CNPAF-2018-CienRural.pdf
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Marc: |
LEADER 02091naa a2200325 a 4500
001 2095835
005 2018-09-17
008 2018 bl uuuu u00u1 u #d
022 $a1678-4596
024 7 $a10.1590/0103-8478cr20170497$2DOI
100 1 $aBARILI, L. D.
245 $aGenome prediction accuracy of common bean via Bayesian models.$h[electronic resource]
260 $c2018
520 $aWe aimed to apply genomic information based on SNP (single nucleotide polymorphism) markers for the genetic evaluation of the traits ?stay-green? (SG), plant architecture (PA), grain aspect (GA) and grain yield (GY) in common bean through Bayesian models. These models were compared in terms of prediction accuracy and ability for heritability estimation for each one of the mentioned traits. A total of 80 cultivars were genotyped for 377 SNP markers, whose effects were estimated by five different Bayesian models: Bayes A (BA), B (BB), C (BC), LASSO (BL) e Ridge regression (BRR). Although, prediction accuracies calculated by means of cross-validation have been similar within each trait, the BB model stood out for the trait SG, whereas the BRR was indicated for the remaining traits. The heritability estimates for the traits SG, PA, GA and GY were 0.61, 0.28, 0.32 and 0.29, respectively. In summary, the Bayesian methods applied here were effective and ease to be implemented. The used SNP markers can help in the early selection of promising genotypes, since incorporating genomic information increase the prediction accuracy of the estimated genetic merit.
650 $aBeans
650 $aGenetic markers
650 $aMarker-assisted selection
650 $aFeijão
650 $aMarcador Molecular
650 $aPhaseolus Vulgaris
653 $aCross-validation
653 $aValidação cruzada
700 1 $aVALE, N. M. do
700 1 $aSILVA, F. R. e
700 1 $aCARNEIRO, J. E. de S.
700 1 $aOLIVEIRA, H. R. de
700 1 $aVIANELLO, R. P.
700 1 $aVALDISSER, P. A. M. R.
700 1 $aNASCIMENTO, M.
773 $tCiência Rural$gv. 48, n. 8, e20170497, 2018.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Origem |
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Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
12/11/2021 |
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Data da última atualização: |
27/04/2022 |
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Autoria: |
SILVA, M. S. L. da; MARQUES, F. A.; RIBEIRO, C. A.; FERREIRA, G. B.; MELO, R. F. de; BARBOSA, A. G.; LIMA, A. de O.; OLIVEIRA NETO, M. B. de; ROCHA, W. J. S. da; PARAHYBA, R. da B. V.; WEBBER, D. C. |
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Afiliação: |
MARIA SONIA LOPES DA SILVA, CNPS; FLAVIO ADRIANO MARQUES, CNPS; CLÁUDIO ALMEIDA RIBEIRO, ARTICULAÇÃO SEMIÁRIDO BRASILEIRO; GIZELIA BARBOSA FERREIRA, IFPE; ROSELI FREIRE DE MELO, CPATSA; ANTÔNIO GOMES BARBOSA, ARTICULAÇÃO SEMIÁRIDO BRASILEIRO; ALEXANDRE DE OLIVEIRA LIMA, UERN; MANOEL BATISTA DE OLIVEIRA NETO, CNPS; WILTON JOSÉ SILVA DA ROCHA, SEMARH-AL; ROBERTO DA BOA VIAGEM PARAHYBA, CNPS; DANIEL CHAVES WEBBER, CNPS. |
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Título: |
Underground dams: contributing to climate change resilience of family based agro-ecosystems in the semi-arid region of northeastern Brazil. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: SOTTA, E. D.; SAMPAIO, F. G.; MARZALL, K.; SILVA, W. G. da (ed.). Adapting to climate change: strategies for brazilian agricultural and livestock systems. Brasília, DF: Mapa, 2021. p. 88-89. |
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Idioma: |
Inglês |
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Conteúdo: |
The Brazilian semi-arid region in the Caatinga Biome is considered one of the most vulnerable to climatic variations due to irregular rainfall, water deficiency, low capacity for adaptation and the poverty of the population. Currently, there is a set of social water technologies for capturing and storing rainwater in order to make the most of it, which has been used throughout the Brazilian semiarid by public policy programs. The underground dam is one of these technologies and, due to its importance for families, it is the subject of research developed by Embrapa and partners, aiming to contribute to family-based farmers resilience to the challenging weather of the Brazilian Northeast Semiarid. |
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Thesagro: |
Barragem Subterrânea. |
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Thesaurus NAL: |
Dams (hydrology). |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227725/1/Underground-dams-2021.pdf
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Marc: |
LEADER 01691naa a2200265 a 4500
001 2136106
005 2022-04-27
008 2021 bl uuuu u00u1 u #d
100 1 $aSILVA, M. S. L. da
245 $aUnderground dams$bcontributing to climate change resilience of family based agro-ecosystems in the semi-arid region of northeastern Brazil.$h[electronic resource]
260 $c2021
520 $aThe Brazilian semi-arid region in the Caatinga Biome is considered one of the most vulnerable to climatic variations due to irregular rainfall, water deficiency, low capacity for adaptation and the poverty of the population. Currently, there is a set of social water technologies for capturing and storing rainwater in order to make the most of it, which has been used throughout the Brazilian semiarid by public policy programs. The underground dam is one of these technologies and, due to its importance for families, it is the subject of research developed by Embrapa and partners, aiming to contribute to family-based farmers resilience to the challenging weather of the Brazilian Northeast Semiarid.
650 $aDams (hydrology)
650 $aBarragem Subterrânea
700 1 $aMARQUES, F. A.
700 1 $aRIBEIRO, C. A.
700 1 $aFERREIRA, G. B.
700 1 $aMELO, R. F. de
700 1 $aBARBOSA, A. G.
700 1 $aLIMA, A. de O.
700 1 $aOLIVEIRA NETO, M. B. de
700 1 $aROCHA, W. J. S. da
700 1 $aPARAHYBA, R. da B. V.
700 1 $aWEBBER, D. C.
773 $tIn: SOTTA, E. D.; SAMPAIO, F. G.; MARZALL, K.; SILVA, W. G. da (ed.). Adapting to climate change: strategies for brazilian agricultural and livestock systems. Brasília, DF: Mapa, 2021. p. 88-89.
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Registro original: |
Embrapa Solos (CNPS) |
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