| |
|
|
| 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. |
|    |
| 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. |
| |
| 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. |
| |
| 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. |
| |
| 7. | | 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. |
| |
| 10. | | 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. |
| |
| 12. | | 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. |
| |
| 14. | | 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. |
| |
| 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. |
| |
| 17. | | MENDES, F. F.; GUIMARAES, L. J. M.; SOUZA, J. C.; GUIMARAES, P. E. O.; MAGALHAES, J. V.; GARCIA, A. A. F.; PARENTONI, S. N.; GUIMARAES, C. T. Genetic architecture of phosphorus use efficiency in tropical maize cultivated in a low-P soil. Crop Science, Madison, v. 54, p. 1530-1538, 2014.| Biblioteca(s): Embrapa Milho e Sorgo. |
|  |
| 18. | | LIMA, B. M.; TEIXEIRA, J. E. C.; GAZAFFI, R.; GARCIA, A. A. F.; GRATTAPAGLIA, D.; VALLE, R. K. D.; CAMARGO, L. E. A. Identification of a novel QTL contributing to rust resistance in Eucalyptus. BMC Proceedings 2011, v. 5, Suppl 7, p. P32, 2011. Edição dos resumos do IUFRO Tree Biotechnology Conference 2011: From Genomes to Integration, 2011 Arraial d?Ajuda, Bahia.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
| |
| 19. | | 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. |
| |
| 20. | | SOBIERAJSKI, G. da R.; SOUSA, A. C. B. de; CANCADO, L. J.; SILVA, R. R.; PEREIRA, G.; SOUZA, A. P. de; KILIAN, A.; GARCIA, A. A. F. Caracterização do banco de germoplasma e macadâmia (Macadamia integrifolia - PROTEACEAE) a partir de marcadores SSR E DArT In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... [S.l.]: Sociedade Brasileira de Recursos Genéticos. 4 p. 1 CD ROM| Biblioteca(s): Embrapa Gado de Corte. |
| |
| Registros recuperados : 82 | |
|
|
|
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
|
|
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Café (CNPCa) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
