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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
07/12/2017 |
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Data da última atualização: |
07/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F. |
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Afiliação: |
LUIS FELIPE VENTORIM FERRÃO, DG/ESALQ; ROMÁRIO GAVA FERRÃO, INCAPER; MARIA AMELIA GAVA FERRAO, SAPC; AYMBIRE FRANCISCO A DA FONSECA, SAPC; ANTONIO AUGUSTO FRANCO GARCIA, DG/ESALQ. |
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Título: |
A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Tree Genetics & Genomes, v. 13, n. 95, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops. MenosGenomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than tr... Mostrar Tudo |
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Palavras-Chave: |
GBLUP; Genotyping-by-sequencing; Multi-environment trials; Perennial crops. |
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Thesaurus Nal: |
Marker-assisted selection. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/168435/1/A-mixed-model-to-multiple-harvest-location.pdf
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Marc: |
LEADER 02351naa a2200229 a 4500
001 2081803
005 2017-12-07
008 2017 bl uuuu u00u1 u #d
100 1 $aFERRÃO, L. F. V.
245 $aA mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora.$h[electronic resource]
260 $c2017
520 $aGenomic selection (GS) has been studied in several crops to increase the rates of genetic gain and reduce the length of breeding cycles. Despite its relevance, there are only a modest number of reports applied to the genus Coffea. Effective implementation depends on the ability to consider genomic models, which correctly represent breeding scenario in which the species are inserted. Coffee experimentation, in general, is represented by evaluations in multiple locations and harvests to understand the interaction and predict the performance of untested genotypes. Therefore, the main objective of this study was to investigate GS models suitable for use in Coffea canephora. An expansion of traditional GBLUP was considered and genomic analysis was performed using a genotyping-by-sequencing (GBS) approach, showed good potential to be used in coffee breeding programs. Interactions were modeled using the multiplicative mixed model theory, which is commonly used in multi-environment trials (MET) analysis in perennial crops. The effectiveness of the method used was compared with other genetic models in terms of goodness-of-fit statistics and prediction accuracy. Different scenarios that mimic coffee breeding were used in the cross-validation process. The method used had the lowest AIC and BIC values and, consequently, the best fit. In terms of predictive ability, the incorporation of the MET modeling showed higher accuracy (on average 10–17% higher) and lower prediction errors than traditional GBLUP. The results may be used as basis for additional studies into the genus Coffea and can be expanded for similar perennial crops.
650 $aMarker-assisted selection
653 $aGBLUP
653 $aGenotyping-by-sequencing
653 $aMulti-environment trials
653 $aPerennial crops
700 1 $aFERRÃO, R. G.
700 1 $aFERRAO, M. A. G.
700 1 $aFONSECA, A. F. A. da
700 1 $aGARCIA, A. A. F.
773 $tTree Genetics & Genomes$gv. 13, n. 95, 2017.
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Registro original: |
Embrapa Café (CNPCa) |
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| Registros recuperados : 252 | |
| 1. |  | FERRÃO, R. G.; FERRAO, M. A. G. Cultivares de Coffea arabica, para as regiões baixas, quentes, tecnificadas e irrigadas do Estado do Espírito Santo. IN: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 1., 2000, Poços de Caldas. Resumos Expandidos. Brasília, DF: Embrapa Café/MINASPLAN, 2000.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
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| 4. | | FERRAO, R. G.; GAMA, E. E. G.; CARVALHO, H. W. L.; FERRAO, M. A. G. Avaliação da capacidade combinatória entre vinte linhagens de milho (Zea mays, L.). In: CONGRESSO NACIONAL DE MILHO E SORGO, 19.; REUNIAO TECNICA ANUAL DO MILHO, 37.; REUNIAO TECNICA ANUAL DO SORGO, 21., 1992, Porto Alegre. Resumos... Porto Alegre: SSA, 1992. p. 33.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 8. | | FERRÃO, R. G.; FONSECA, A. F. A. da; FERRAO, M. A. G. Banco ativo de germoplasma de Coffea canephora, variedade conilon, no Estado do Espírito Santo. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 1., 2000, Poços de Caldas. Resumos Expandidos. Brasília, DF: Embrapa Café/MINASPLAN, 2000.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
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| 15. | | SOARES, T. C. B.; MOTTA, L. B.; FERRAO, M. A. G. Estado da arte e perspectivas das pesquisas em Coffea arabica E Coffea canephora na era da genômica. In: GARCIA, G. de O.; REIS, E. F. dos; LIMA, J. S. de S.; XAVIER, A. C.; RODRIGUES, W. N. (Org.). Tópicos Especiais em produção vegetal V. Alegre: CCAUFES, 2015, v. 1 p. 119-136| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Café. |
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| 18. | | FERRAO, M. A. G.; VIEIRA, C.; CRUZ, C. D.; CARDOSO, A. A. Divergência genética em feijoeiro em condições de inverno tropical. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 37, n. 8, p. 1089-1098, ago. 2002 Título em inglês: Genetic divergency on Common bean under tropical winter conditions.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 20. | | FERRAO, M. A. G.; FONSECA, A. F. A. da; RIVA-SOUZA, E. M.; FERRÃO, R. G. Diferentes coeficientes de similaridade para análise de agrupamento de genótipos de Coffea canephora com base em marcadores moleculares. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 5., 2007, Águas de Lindóia, SP. Anais... Brasília, DF: Embrapa Café, 2007.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
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| Registros recuperados : 252 | |
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