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Registros recuperados : 82 | |
1. | | MOLLINARI, M.; MARGARIDO, G. R. A.; GARCIA, A. A. F. Comparação dos algoritmos delineação rápida em cadeia e seriação, para a construção de mapas genéticos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 4, p. 505-512, abr. 2008 Título em inglês: Comparison of algorithms rapid chain delineation and seriation, for the construction of genetic linkage maps. Biblioteca(s): Embrapa Unidades Centrais. |
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2. | | SANTOS, M. A.; GERALDI, I. O.; GARCIA, A. A. F.; BORTOLATTO, N.; SCHIAVON, A.; HUNGRIA, M. Mapping of QTLs associated with biological nitrogen fixation traits in soybean. Hereditas, Lund, v. 150, n. 2-3, p. 17-25, 2013. Biblioteca(s): Embrapa Soja. |
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4. | | LARA, L. A. DE C.; SANTOS, M. F.; JANK, L.; CHIARI, L.; GARCIA, A. A. F. Modeling the variance-covariance matrix of genetic and residual effects in a Panicum maximum genome wide selection experiment. In: INTERNATIONAL CONFERENCE ON QUANTITATIVE GENETICS, 5., Madison, Wisconsin, USA, 2016. Proceedings... Madison, Wisconsin, USA: ICQG, 2016. Biblioteca(s): Embrapa Gado de Corte. |
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6. | | ALVES, R. M.; GARCIA, A. A. F.; CRUZ, E. D.; FIGUEIRA, A. Seleção de descritores botânico-agronômicos para caracterização de germoplasma de cupuaçuzeiro. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 38, n. 7, p. 807-818, jul. 2003. il. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Unidades Centrais. |
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7. | | BRAGA, M. F.; VIEIRA, M. L. C.; GAZAFFI, R.; GARCIA, A. A. F.; GIRALDI, I. O.; JUNQUEIRA, N. T. V. Mapeamento de QTL (quantitative trait loci) associados à resistência do maracujá-doce à bacteriose. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 22., 2012, Bento Gonçalves. Anais... Bento Gonçalves: SBF, 2012. Biblioteca(s): Embrapa Cerrados. |
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9. | | 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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10. | | FAVERO, A. P.; MORAES, S. A. de; GARCIA, A. A. F.; VALLS, J. F. M.; VELLO, N. A. Characterization of rust, early and late leaf spot resistance in wild and cultivated peanut germplasm. Scientia Agricola, v.66, n. 1, p.110-117, 2009. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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12. | | FÁVERO, A. P.; MORAES, S. A. de; GARCIA, A. A. F.; VALLS, J. F. M.; VELLO, N. A. Caracterização da resistÊncia à ferrugem, mancha preta e mancha castanha em germoplasma silvestre e cultivado de amendoim. Scientia Agricola, v. 66, n.1, p. 110-117, jan./fev., 2009. Biblioteca(s): Embrapa Algodão. |
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15. | | 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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16. | | VIGNA, B. B. Z.; JUNGMANN, L.; ALLEONI, G. C.; VALLE, C. B. do; FEIJO, G. L. D.; GARCIA, A. A. F.; SOUZA, A. P. Análise da segregação de locos microssatélites em uma população F1 segregante de Brachiaria humidicola hexaplóide. In: CONGRESSO BRASILEIRO DE GENÉTICA, 56., 2010, Guarujá. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2010. p. 176 Biblioteca(s): Embrapa Gado de Corte. |
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17. | | SOBIERAJSKI, G. da R.; BLAIN, G. C.; SOUSA, A. C. B.; JUNGMANN, L.; PEREIRA, G.; SOUZA, A. de; GARCIA, A. A. F. Analysis of the genetic structure and diversity of a Brazilian macadamia nut (Macadamia integrifolia) germplasm. Crop Breeding and Applied Biotechnology, v. 22, n. 3, e41382231, 2022. Biblioteca(s): Embrapa Agroenergia. |
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18. | | ROSÁRIO, M. F. do; GAZAFFI, R.; MOURA, A. S. A. M. T.; LEDUR, M. C.; GARCIA, A. A. F.; COUTINHO, L. L. Base genética da correlação entre características de desempenho e de rendimento de carcaça no cromossomo 1 da galinha. In: CONFERÊNCIA FACTA DE CIÊNCIA E TECNOLOGIA AVÍCOLAS, 2011, Santos, SP. Anais... Santos: FACTA, 2011. Trabalhos de Pesquisa José Maria Lamas da Silva. 1 CD-ROM. Projeto: 02.09.07.006. Biblioteca(s): Embrapa Suínos e Aves. |
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19. | | ROSÁRIO, M. F.; MARGARIDO, G. R. A.; BOSCHIERO, C.; NONES, K.; MOURA, A. S. A. M. T.; LEDUR, M. C.; COUTINHO, L. L.; GARCIA, A. A. F. Mapa consenso brasileiro do cromossomo 1 oriundo de cruzamentos recíprocos entre linhagens de corte e postura. In: CONFERÊNCIA FACTA DE CIÊNCIA E TECNOLOGIA AVÍCOLAS, 27., 2009, Porto Alegre. Anais [dos] trabalhos de pesquisa José Maria Lamas de Silva. [Campinas]: FACTA, 2009. Projeto/Plano de Ação: 01.02.10.210-10. Publicado em CD-ROM (CD00156). Biblioteca(s): Embrapa Suínos e Aves. |
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20. | | ROSÁRIO, M. F.; MARGARIDO, G. R. A.; LEDUR, M. C.; MOURA, A. S. A. M. T.; GARCIA, A. A. F.; COUTINHO, L. L. Mapa consenso brasileiro do cromossomo 4 da galinha associado a intervalos de confiança de distâncias e ordens de locos microssatélites In: CONGRESSO BRASILEIRO DE GENÉTICA, 55, 2009, Águas de Lindóia. Anais... Águas de Lindóia:SBG, 2009. p. 153. Projeto/Plano de Ação: 01.06.106.03-05 Biblioteca(s): Embrapa Suínos e Aves. |
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Registros recuperados : 82 | |
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Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
17/03/2017 |
Data da última atualização: |
20/03/2017 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRAO, M. A. G.; FONSECA, A. F. A. da; GARCIA, A. A. F. |
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. |
Título: |
Mixed model to multiple havest-location trial applied to genomic prediction in Coffea canephora. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego, CA: [s.n.], 2016. |
Idioma: |
Inglês |
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 |
Thesagro: |
Coffea Canephora. |
Thesaurus NAL: |
Marker-assisted selection. |
Categoria do assunto: |
-- |
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 005 2017-03-20 008 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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