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| Registros recuperados : 26 | |
| 2. |  | 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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| 3. | | 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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| 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.; 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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| 7. | | 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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| 8. | | 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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| 9. | | 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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| 10. | | 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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| 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 Agricultura Digital. |
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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. Não paginado.| Biblioteca(s): Embrapa Rondônia. |
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| 13. | | 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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| 14. | | 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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| 15. | | 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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| 16. | | 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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| 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. | | CARVALHO, H. F.; FERRÃO, L. F. V.; GALLI, G.; NONATO, J. V. A.; PADILHA, L.; MALUF, M. P.; RESENDE JR., M. F. R. de; FRITSCHE-NETO, R.; GUERREIRO-FILHO, O. On the accuracy of threshold genomic prediction models for leaf miner and leaf rust resistance in arabica coffee. Tree Genetics & Genomes, v. 19, n. 1, 2023. 10 p.| Biblioteca(s): Embrapa Café. |
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| 19. | | 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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| 20. | | 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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| Registros recuperados : 26 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
17/03/2017 |
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Data da última atualização: |
20/03/2017 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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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 V. FERRÃO, ESALQ/USP; ROMÁRIO G. FERRÃO, INCAPER; MARIA AMELIA GAVA FERRAO, SAPC; AYMBIRE FRANCISCO A DA FONSECA, SAPC; ANTONIO AUGUSTO FRANCO GARCIA, ESALQ/USP. |
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Título: |
Mixed model to multiple havest-location trial applied to genomic prediction in Coffea canephora. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego, CA: [s.n.], 2016. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved may be used as basis for additional studies into the Genus Coffea and expanded for other perennial crops, that have a similar experimentation design. MenosGenomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved ... Mostrar Tudo |
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Thesagro: |
Coffea Canephora. |
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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/157826/1/Mixed-Model-to-Multiple-Harvest-Location1.pdf
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Marc: |
LEADER 02290nam a2200181 a 4500
001 2067269
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008 2016 bl uuuu u00u1 u #d
100 1 $aFERRÃO, L. F. V.
245 $aMixed model to multiple havest-location trial applied to genomic prediction in Coffea canephora.$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego, CA: [s.n.]$c2016
520 $aGenomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved may be used as basis for additional studies into the Genus Coffea and expanded for other perennial crops, that have a similar experimentation design.
650 $aMarker-assisted selection
650 $aCoffea Canephora
700 1 $aFERRÃO, R. G.
700 1 $aFERRAO, M. A. G.
700 1 $aFONSECA, A. F. A. da
700 1 $aGARCIA, A. A. F.
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Embrapa Café (CNPCa) |
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