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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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| 4. |  | SOUZA, I. I. F.; RODRIGUES, R.; RAMOS, C. A. N.; JORGE, K. G. S.; ETGES, R. N.; SANTOS, L. R. dos; VERBISCK, N. V.; ARAUJO, F. R. Avaliação multidiagnóstica da tuberculose bovina. Revista de Patologia Tropical, Goiânia, GO, v. 46, supl.1, p. 41, 2017.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 5. | | RODRIGUES, R. A.; MENESES, I. I. F. S.; JORGE, K. S. G.; SILVA, M. R.; SANTOS, L. R. dos; LILENBAUM, W.; ETGES, R. N.; ARAUJO, F. R. False-negative reactions to the comparative intradermal tuberculin test for bovine tuberculosis. Pesquisa Veterinária Brasileira, Brasília, DF, v. 37, n. 12, p. 1380-1384, dezembro. 2017. Título em português: Reações falso-negativas ao teste cervical comparativo para tuberculose bovina.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Gado de Corte; Embrapa Unidades Centrais. |
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| 6. | | RODRIGUES, R. A.; MENESES, I. I. F. S.; JORGE, K. S. G.; LEGUIZAMON, G. O. de C.; SILVA, M. R.; RAMOS C. A. N.; SANTOS, L. R. dos; LILENBAUM. W.; ETGES, R. N.; ARAUJO, F. R. Reações falso-negativas ao teste cervical comparativo para tuberculose bovina. Brasília, DF: Embrapa, 2017. 30 p. (Embrapa Gado de Corte. Boletim de pesquisa e desenvolvimento, 38).| Tipo: Boletim de Pesquisa e Desenvolvimento |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 7. | | BACANELLI, G. M.; OLARTE, L. C.; LEGUIZAMON, G. O. de C.; SILVA, M. R.; RODIGUES, R. A.; PASQUATTI, T. N.; CARNEIRO, P. A.; ETGES, R. N.; ARAUJO, F. R.; VERBISCK, N. V. Diagnóstico de tuberculose bovina: avanços na identificação de Mycobacterium bovis por espectrometria de massas MALDI-TOF. Campo Grande, MS: Embrapa Gado de Corte, 2020. (Embrapa Gado de Corte. Comunicado Técnico, 146)| Tipo: Comunicado Técnico/Recomendações Técnicas |
| Biblioteca(s): Embrapa Gado de Corte. |
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| 8. | | SOUZA, I. I. F. de; RODRIGUES, R. de A.; JORGE, K. S. G.; SILVA, M. R.; LILENBAUM, W.; VIDAL, C. E. S.; ETGES, R. N.; KOSTOVIC, M.; ARAUJO, F. R. ELISA using a recombinant chimera of ESAT-6/MPB70/MPB83 for Mycobacterium bovis diagnosis in naturally infected cattle. The Journal Veterinary Medical Science, v. 81, n. 1, p. 9-14, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite. |
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| 9. | | BACANELLI, G.; OLARTE, L. C.; SILVA, M. R.; RODRIGUES, R. A.; CARNEIRO, P. A. M.; KANEENE, J. B.; PASQUATTI, T. N.; TAKATANI, H.; ZUMÁRRAGA, M. J.; ETGES, R. N.; ARAUJO, F. R.; VERBISCK, N. V. Matrix Assisted Laser Desorption Ionization-Time-of-Flight mass spectrometry identification of Mycobacterium bovis in Bovinae. Journal the Veterinary Medical Science, v. 81, n. 10, p.1400?1408, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite. |
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| Registros recuperados : 9 | |
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