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| Registros recuperados : 26 | |
| 1. |  | FERRÃO, L. F. V.; SOUZA, F. de F.; CAIXETA, E. T.; ZAMBOLIM, E. M.; ZAMBOLIM, L.; SAKIYAMA, N. S. Estudo comparativo do nível de polimorfismo e informatividade acessado pelos marcadores RAPD, AFLP e SSR, no estabelecimento de relações genéticas em Coffea canephora. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 7., 2011, Araxá. Anais... Brasília, DF: Embrapa Café, 2011.| Biblioteca(s): Embrapa Café. |
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| 3. | | FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F. Mixed model to multiple havest-location trial applied to genomic prediction in Coffea canephora. In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego, CA: [s.n.], 2016.| Biblioteca(s): Embrapa Café. |
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| 4. | | CASTRO, C. M.; FERRÃO, L. F. V.; ROHR, A.; PINHEIRO, N. L.; PEREIRA, A. da S.; GARCIA, A. A. F. Population structure of potato breeding germplasm from Embrapa-Brazil assessed with single nucleotide polymorphism (SNP) markers. In: CONGRESO DE LA ASOCIACION LATINOAMERICANA DE LA PAPA - ALAP, 28., 2018, Cusco, Peru. Abstract Book 10th: Congress: Biodiversity, Food Security and Business. Instituto Nacional de Innovación: Agraria-INIA. Cusco, Perú, 2018. p. 123| Biblioteca(s): Embrapa Clima Temperado. |
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| 5. | | FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; CARBONETTO, P.; SLEPHENS, M.; FRANCO, A. A. Accurate genomic prediction of Coffea canephora in multiple environments using whole-genome statistical models. Heredity, v. 122, p. 261-275, 2018.| Biblioteca(s): Embrapa Café. |
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| 6. | | SOUZA, F. de F.; FERRÃO, L. F. V.; CAIXETA, E. T.; SAKIYAMA, N. S.; PEREIRA, A. A.; OLIVEIRA, A. C. B. de. Aspectos gerais da biologia e da diversidade genética de Coffea canephora. In: MARCOLAN, A. L.; ESPINDULA, M. C. (Ed.). Café na Amazônia. Brasília, DF: Embrapa, 2015. Cap. 4, p. 84-98..| Biblioteca(s): Embrapa Café; Embrapa Rondônia; Embrapa Semiárido. |
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| 7. | | FERRÃO, L. F. V.; CAIXETA, E. T.; SOUZA, F. de F.; ZAMBOLIM, E. M.; CRUZ, C. D.; ZABOLIM, L.; SAKIYAMA, N. S. Comparative study of different molecular markers for classifying and establishing genetic relationshps in Coffea Canephora. Plant Systematics and Evolution, Springer Verlag, New York, v. 299, p. 225-238, 2013.| Biblioteca(s): Embrapa Café; Embrapa Rondônia; Embrapa Semiárido. |
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| 8. | | FERRÃO, L. F. V.; CAIXETA, E. T.; CRUZ, C. D.; SOUZA, F. de F.; FERRAO, M. A. G.; ZAMBOLIM, Z.; SAKIYAMA, N. S. The effects of encoding data in diversity studies and the applicability of the weighting index approach for data analysis from different molecular markers. Plant Systematics and Evolution, v. 300, n. 7, p. 1649-1661, 2014.| Biblioteca(s): Embrapa Café; Embrapa Rondônia; Embrapa Semiárido. |
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| 9. | | FERRÃO, R. G.; FORNAZIER, M. J.; FERRAO, M. A. G.; PREZOTTI, L. C.; FONSECA, A. F. A. da; ALIXANDRE, F. T.; FERRÃO, L. F. V. Estado da arte da cafeicultura no Espírito Santo. In: SEMINÁRIO PARA A SUSTENTABILIDADE DA CAFEICULTURA, 2008, Alegre, ES. 29-47| Biblioteca(s): Embrapa Café. |
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| 10. | | SOUZA, F. de F.; CAIXETA, E. T.; ZAMBOLIM, E. M.; FERRÃO, L. F. V.; PENA, G. F.; ZAMBOLIM, L.; SAKIYAMA, N. S. Diversidade genética de genótipos de café canéfora por meio de marcadores microssatélites. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 6., 2009, Vitória. Inovação científica, competitividade e mudanças climáticas: anais. Vitória: Consórcio Pesquisa Café, 2009. Não paginado.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | SOUZA, F. de F.; CAIXETA, E. T.; ZAMBOLIM, E. M.; FERRÃO, L. F. V.; PENA, G. F.; ZAMBOLIM, L.; SAKIYAMA, N. S. Diversidade genética de genótipos de café canéfora por meio de marcadores microssatélites. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 6., 2009, Vitória. Inovação científica, competitividade e mudanças climáticas: anais... Vitória: Consórcio Pesquisa Café, 2009. Não paginado.| Biblioteca(s): Embrapa Rondônia. |
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| 12. | | SOUZA, F. de F.; CAIXETA, E. T.; ZAMBOLIM, E. M.; FERRÃO, L. F. V.; PENA, G. F.; ZAMBOLIM, L.; SAKIYAMA, N. S. Diversidade genética de genótipos de café canéfora por meio de marcadores microssatélites. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 6., 2009, Vitória. Inovação científica, competitividade e mudanças climáticas: anais... Vitória: Consórcio Pesquisa Café, 2009.| Biblioteca(s): Embrapa Café. |
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| 13. | | PÉREZ-JARAMILLO, J. E.; CARRIÓN, V. J.; BOSSE, M.; FERRÃO, L. F. V.; HOLLANDER, M. de; GARCIA, A. A. F.; RAMIREZ, C. A.; MENDES, R.; RAAIJMAKER, J. M. Linking rhizosphere microbiome composition of wild and domesticated Phaseolus vulgaris to genotypic and root phenotypic traits. The ISME Journal, v. 11, p. 2244-2257, 2017.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 14. | | FERRÃO, R. G.; VOLPI, P. S.; FERRAO, M. A. G.; VERDIN FILHO, A. C.; FONSECA, A. F. A. da; FERRÃO, L. M. V.; FERRÃO, L. F. V. Melhoramento genético para obtenção da cultivar marilândia es 8143, variedade clonal de café conilon tolerante a seca. Multi-Science Research, v. 1, n. 1, p. 2-18, 2018.| Biblioteca(s): Embrapa Café. |
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| 15. | | FERRÃO, L. F. V.; CAIXETA, E. T.; PENA, G.; ZAMBOLIM, E. M.; CRUZ, C. D.; ZAMBOLIM, L.; FERRAO, M. A. G.; SAKIYAMA, N. S. New EST-SSR markers of Coffea arabica: transferability and application to studies of molecular characterization and genetic mapping. Molecular Breeding, v. 35, n. 1, p. 2-5, jan. 2015.| Biblioteca(s): Embrapa Café. |
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| 16. | | SOUZA, F. de F.; CAIXETA, E. T.; FERRÃO, L. F. V.; PENA, G. F.; SAKIYAMA, N. S.; ZAMBOLIM, E. M.; ZAMBOLIM, L.; CRUZ, C. D. Molecular diversity in Coffea canephora germplasm conserved and cultivated in Brazil. Crop Breeding and Applied Biotechnology, v. 13, p. 221-227, 2013.| Biblioteca(s): Embrapa Café; Embrapa Semiárido. |
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| 17. | | AZEVEDO, C. F.; FERRÃO, L. F. V.; BENEVENUTO, J.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; MUNOZ, P. R. Using visual scores for genomic prediction of complex traits in breeding programs. Theoretical and Applied Genetics, v. 137, n. 1, 2024. 16 p.| Biblioteca(s): Embrapa Café. |
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| 18. | | FERRÃO, R. G.; FERRAO, M. A. G.; TÓFANO, J. L.; FONSECA, A. F. A. da; VOLPI, P. S.; VERDIN FILHO, A. C.; MENDONÇA, R. F. de; GUARÇONI, R. C.; FERRÃO, L. F. V. Avaliação de clones de café conilon de maturação intermediária no sul do Estado do Espírito Santo. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 6., 2009, Vitória. Inovação científica, competitividade e mudanças climáticas: anais... Vitória: Consórcio Pesquisa Café, 2009.| Biblioteca(s): Embrapa Café. |
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| 19. | | FERRÃO, R. G.; FERRAO, M. A. G.; TOFANO, J. L.; FONSECA, A. F. A. da; VOLPI, P. S.; VERDIN FILHO, A. C.; FERRÃO, L. F. V.; MENDONÇA, R. F. de; GUARÇONI, R. C. Avaliação de clones de café conilon de maturação tardia no sul do Estado do Espírito Santo. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 6., 2009, Vitória. Inovação científica, competitividade e mudanças climáticas: anais... Vitória: Consórcio Pesquisa Café, 2009.| Biblioteca(s): Embrapa Café. |
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| 20. | | DIAS, K. O. das G.; PASTINA, M. M.; GUIMARAES, P. E. de O.; SANTOS, J. R. P. dos; KRAUSE, M. D.; FERRÃO, L. F. V.; GARCIA, A. A. F. Application of multi-environment bayesian models to study genotype-by-environment interaction in maize. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz do Iguaçu. Melhoramento de plantas: projetando o futuro. Foz do Iguaçu: SBMP, 2017. p. 149.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 26 | |
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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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Circulação/Nível: |
A - 1 |
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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: |
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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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Embrapa Café (CNPCa) |
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