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| 682. |  | FORNAZIER, M. J.; VOLPI, P. S.; FERRÃO, M. A. G.; VERDIN FILHO, A. C.; FERRÃO, R. G.; FONSECA, A. F. A. da.; MIGUEL, G. S.; PEREIRA, A. A.; FAZUOLI, L. C. Broca dos ramos, Xylosandrus compactus, em cafés robusta no Espírito Santo. In: CONGRESSO BRASILEIRO DE PESQUISAS CAFEEIRAS, 35., 2009, Araxá. Trabalhos apresentados... Varginha, MG: Fundação PROCAFÉ, 2009.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 683. | | KROHLING, C. A.; ALIXANDRE, F. T.; GUARÇONI, R. G.; FORNAZIER, M. J. Café arábica no Espírito Santo, Brasil. In: Café conilon: Conilon e Robusta no Brasil e no Mundo. Fábi o Luiz Partelli, Lucas Louzada Pereira ,
Organizadores. Alegre, ES: CAUFES, 2021, 214 p. : il.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 684. | | LANI, J. A.; PREZOTTI, L. C.; BRAGANÇA, S. M. Cafeeiro. In: PREZOTTI, L. C.; GOMES, J. A.; DADALTO, G. G.; OLIVEIRA, J. A. (Ed.). Manual de recomendação de calagem e adubação para o Estado do Espírito Santo : 5ª aproximação. Vitória, ES : SEEA; Incaper; CEDAGRO, 2007 . p. 111-118| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 686. | | FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; LANI, J. A.; FERRÃO, L. F. V. A cafeicultura no Estado do Espírito Santo : tecnologias e desafios. In: TOMAZ, M. A.; AMARAL, J. F. T.; JESUS JUNIOR, W. C. de.; FONSECA, A. F. A. da.; FERRÃO, R. G.; FERRÃO, M. A. G. (Org.). Tecnologias para a sustentabilidade da cafeicultura. Alegre, ES : CAUFES, p. 19-50, 2011.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 690. | | LOREZON, D. L.; COSTA, P. R.; GALOTE, J. K. B.; ARANTES, S. D.; ARANTES, L. de O.; MACHADO FILHO, J. A. Capacitação sobre qualidade e produção de café conilon. In: SIMPÓSIO INCAPER PESQUISA, 3. , Vitória, ES. Capacitação sobre qualidade e produção de café conilon. Editores, Andréa Ferreira da Costa, Marlon Dutra Degli Esposti e Renato Corrêa Taques. Vitória, ES : Incaper, p. 89, 2024. p. 89| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 691. | | TEIXEIRA, M. M. Caracterização, análise e diagnóstico da cafeicultura capixaba, In: SIMPÓSIO ESTADUAL DO CAFÉ, 3., 1998, Vitória, ES. Anais, palestras, painéis e debates. Vitória, ES : CETCAF, 1998. p. 43-76. Palestra.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 692. | | SILVA, J. G. F. da.; SALGADO, J. S.; ZANGRANDE, M. B.; LANI, J. A. Caracterização da distribuição do sistema radicular do cafeeiro sob diferentes tipos de irrigação e tipos de solo. In: SIMPÓSIO INTERNO DE PESQUISA, DESENVOLVIMENTO E INOVAÇÃO, 1., 2004, Vitória. Resumo das ações de pesquisa, desenvolvimento e inovações tecnológicas. Vitória, ES : Incaper, p. 81, 2005. (Incaper. Documentos, 140).| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 696. | | MARRACCINI, P.; SILVA, V. A. da.; ELBELT, S.; GUIMARÃES, B. L. S.; LOUREIRO, M. E.; DAMATTA, F. M.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; SILVA, F. R. da.; ANDRADE, A. C. Análise da expressão de genes candidatos para a tolerância à seca em folhas de clones de Coffea canephora var. Conillon, caracterizados fisiologicamente. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 5., 2007, Águas de Lindóia, SP. Anais... Brasília, DF: Embrapa Café, 2007. 5p.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 697. | | CECON, P. R.; SILVA, F. F. e.; FERREIRA, A.; FERRÃO, R. G.; CARNEIRO, A. P. S.; DETMANN, E.; FARIA, P. N.; MORAIS, T. S. da. Análise de medidas repetidas na avaliação de clones de café 'Conilon'. Pesquisa Agropecuária Brasileira, v. 43, n. 9, set. 2008.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 699. | | FERRÃO, M. A. G.; FONSECA, A. F. A. da.; FERRÃO, R. G.; BARBOSA, W. M.; VOLPI, P. S.; ZUCATELLI, F.; VERDIN FILHO, A. C. Banco ativo de germoplasma da espécie coffea canephora para o Estado do Espírito Santo. In: SIMPÓSIO INTERNO DE PESQUISA, DESENVOLVIMENTO E INOVAÇÃO, 1., 2004, Vitória. Resumo das ações de pesquisa, desenvolvimento e inovações tecnológicas. Vitória, ES : Incaper, p. 62-63, 2005. (Incaper. Documentos, 140).| Biblioteca(s): Biblioteca Rui Tendinha. |
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| 700. | | VERDIN FILHO, A. C.; VOLPI, P. S.; RODRIGUES, W. N.; COLODETTI, T. V.; MAURI, A. L.; FERRÃO, R. G.; FONSECA, A. F. A. da.; FERRÃO, M. A. G.; MARTINS, L. D.; BRINATE, S. V. B.; TOMAZ, M. A.; COMÉRIO, M.; ANDRADE JÚNIOR, S. de.; PINHEIRO, C. A. The beverage quality of Conilon coffee that is kept in the field after harvesting : Quantifying daily losses. AFRICAN JOURNAL OF AGRICULTURAL RESEARCH, v. 11, n. 33, p. 3134-3140, august 2016.| Biblioteca(s): Biblioteca Rui Tendinha. |
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| Registros recuperados : 900 | |
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
05/02/2016 |
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Data da última atualização: |
02/07/2017 |
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Tipo da produção científica: |
Publicação em Anais de Congresso |
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Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; GARCIA, A. F. |
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Afiliação: |
Luis Felipe V. Ferrão, ESALQ/USP; Romário Gava Ferrão, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Aymbiré Francisco Almeida da Fonseca, Incaper/Embrapa Café; Antônio Augusto Franco Garcia, ESALQ/USP. |
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Título: |
Mixed model to multiple Harvest-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: [s.n.], 2016. não paginado. P1168. |
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Idioma: |
Português |
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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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Palavras-Chave: |
Café Conilon; Coffea canephora; Genomic Selection. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/2728/1/Mixed-Model-to-Multiple-Harvest-Location1.pdf
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Marc: |
LEADER 02337nam a2200193 a 4500
001 1009544
005 2017-07-02
008 2016 bl uuuu u01u1 u #d
100 1 $aFERRÃO, L. F. V.
245 $aMixed model to multiple Harvest-Location trial applied to genomic prediction in Coffea canephora.$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. não paginado. P1168.$c1168
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.
653 $aCafé Conilon
653 $aCoffea canephora
653 $aGenomic Selection
700 1 $aFERRÃO, R. G.
700 1 $aFERRÃO, M. A. G.
700 1 $aFONSECA, A. F. A. da.
700 1 $aGARCIA, A. F.
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Biblioteca Rui Tendinha (BRT) |
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