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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
22/06/2021 |
Data da última atualização: |
22/06/2021 |
Tipo da produção científica: |
Circular Técnica |
Autoria: |
FERRÃO, M. A. G.; RIVA-SOUZA, E. M.; FONSECA, A. F. A. da.; FERRÃO, R. G.; SANTOS, W. G. dos; SPADETO, J. |
Afiliação: |
Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Elaine Manelli Riva-Souza, Incaper; Aymbiré Francisco Almeida da Fonseca, Incaper/Embrapa Café; Romário Gava Ferrão, Incaper; Walter Guedes dos Santos; José Spadeto, Incaper. |
Título: |
Indicação de cultivares de café arábica para o estado do Espírito Santo e avaliação comparativa com o conilon em altitude elevada. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Brasília, DF: Embrapa Café, 2021. |
Páginas: |
46 p. |
Descrição Física: |
il. color. |
Série: |
(Circular Técnica, 6). |
ISSN: |
2317-2029 |
Idioma: |
Português |
Conteúdo: |
Este trabalho objetiva apresentar os principais resultados de pesquisa na área de melhoramento genético de café arábica, além da atualização da relação de cultivares recomendadas para o estado do Espírito Santo e de informações de novas cultivares promissoras. Para tanto, será discutido um conjunto de resultados inerentes ao desempenho agronômico de cultivares de café arábica em ambientes tanto de baixa altitude e temperatura elevada quanto de altitude elevada e temperatura baixa, bem como o comportamento de diferentes linhagens selecionadas no programa de melhoramento do Incaper em parceria com a Embrapa Café. Paralelamente, serão apresentados os resultados preliminares do desempenho comparativo dos cafés arábica e conilon em áreas consideradas até recentemente de maior adaptação para o café arábica, como aquelas localizadas em altitudes de 600 m a 720 m. |
Thesagro: |
Coffea Arábica; Coffea arabica var arabica; Coffea Canephora; Melhoramento Genético Vegetal; Plant breeding; Variedade. |
Categoria do assunto: |
-- |
URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/4208/1/Circular-Tecnica-6-Embrapa-Cafe-ferrao.pdf
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Marc: |
LEADER 01772nam a2200277 a 4500 001 1023171 005 2021-06-22 008 2021 bl uuuu u0uu1 u #d 022 $a2317-2029 100 1 $aFERRÃO, M. A. G. 245 $aIndicação de cultivares de café arábica para o estado do Espírito Santo e avaliação comparativa com o conilon em altitude elevada.$h[electronic resource] 260 $aBrasília, DF: Embrapa Café$c2021 300 $a46 p.$cil. color. 490 $a(Circular Técnica, 6). 520 $aEste trabalho objetiva apresentar os principais resultados de pesquisa na área de melhoramento genético de café arábica, além da atualização da relação de cultivares recomendadas para o estado do Espírito Santo e de informações de novas cultivares promissoras. Para tanto, será discutido um conjunto de resultados inerentes ao desempenho agronômico de cultivares de café arábica em ambientes tanto de baixa altitude e temperatura elevada quanto de altitude elevada e temperatura baixa, bem como o comportamento de diferentes linhagens selecionadas no programa de melhoramento do Incaper em parceria com a Embrapa Café. Paralelamente, serão apresentados os resultados preliminares do desempenho comparativo dos cafés arábica e conilon em áreas consideradas até recentemente de maior adaptação para o café arábica, como aquelas localizadas em altitudes de 600 m a 720 m. 650 $aCoffea Arábica 650 $aCoffea arabica var arabica 650 $aCoffea Canephora 650 $aMelhoramento Genético Vegetal 650 $aPlant breeding 650 $aVariedade 700 1 $aRIVA-SOUZA, E. M. 700 1 $aFONSECA, A. F. A. da. 700 1 $aFERRÃO, R. G. 700 1 $aSANTOS, W. G. dos 700 1 $aSPADETO, J.
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Biblioteca Rui Tendinha (BRT) |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
19/06/2019 |
Data da última atualização: |
25/08/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; GARCIA, A. A. F. |
Afiliação: |
Luís Felipe Ventorim Ferrão., Escola Superior de Agricultura Luiz de Queiroz (ESALQ).; Romário Gava Ferrão, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Aymbiré Francisco Almeida da Fonseca, Incaper/Embrapa Café; Antonio Augusto Franco Garcia., Universidade de São Paulo (USP). |
Título: |
A mixed model to multiple harvest-location trials applied to genomic prediction in Coffea canephora. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Tree Genetics & Genomes, Germany, v. 13, n. 95, p. 13, 2017. |
Páginas: |
13 p. |
Idioma: |
Inglês |
Conteúdo: |
Abstract 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-bysequencing (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 goodnessof-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. MenosAbstract 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-bysequencing (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 goodnessof-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 ... Mostrar Tudo |
Palavras-Chave: |
Genomic selection. |
Thesaurus NAL: |
GBLUP; Gbs; Genomic selection; Genotyping by sequencing; MET; Multi environment trials; Perennial crops. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02462naa a2200277 a 4500 001 1021430 005 2022-08-25 008 2017 bl uuuu u00u1 u #d 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 300 $a13 p. 520 $aAbstract 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-bysequencing (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 goodnessof-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 $aGBLUP 650 $aGbs 650 $aGenomic selection 650 $aGenotyping by sequencing 650 $aMET 650 $aMulti environment trials 650 $aPerennial crops 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. A. F. 773 $tTree Genetics & Genomes, Germany$gv. 13, n. 95, p. 13, 2017.
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