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Registro Completo |
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
08/12/2023 |
Data da última atualização: |
08/12/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ADUNOLA, P.; FERRÃO, M. A. G.; FERRÃO, R. G.; FONSECA, A. F. A. da; VOLPI, P. S.; COMÉRIO, M.; VERDIN FILHO, A. C.; MUNOZ, P. R.; FERRÃO, L. F. V. |
Afiliação: |
PAUL ADUNOLA, UNIVERSITY OF FLORIDA; MARIA AMÉLIA G FERRÃO, CNPCa; ROMÁRIO G FERRÃO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; AYMBIRE F A DA FONSECA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PAULO S VOLPI, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; MARCONE COMÉRIO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; ABRAÃO C VERDIN FILHO, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PATRICIO R MUNOZ, UNIVERSITY OF FLORIDA; LUÍS FELIPE V FERRÃO, UNIVERSITY OF FLORIDA. |
Título: |
Genomic selection for genotype performance and environmental stability in Coffea canéfora. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
G3: Genes, Genomes, Genetics, v. 13, n. 6, p. 1-13, 2023. |
DOI: |
https://doi.org/10.1093/g3journal/jkad062 |
Idioma: |
Inglês |
Conteúdo: |
Coffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephora, evaluated across multiple years and locations, our contribution is 3-fold: (1) first, we demonstrated that the number of harvest evaluations may be reduced leading to accelerated implementation of molecular breeding; (2) we showed that stability metrics are predictable; and finally, (3) both stable and high-performance genotypes can be simultaneously predicted and selected. While this research was carried out on representative environments for coffee production with substantial crossover in genotypic ranking, we anticipate that genomic prediction can be an efficient tool to select coffee genotypes that combine high performance and stability across years and the target locations here evaluated. MenosCoffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephora, evaluated across multiple years and locations, our contribution is 3-fold: (1) first, we demonstrated that the number of harvest evaluations may be reduced leading to accelerated implementation of molecular breeding; (2) we showed that stability metrics are predictable; and finally, (3) both stable and high-performance genotypes can be simultaneously predicted an... Mostrar Tudo |
Thesagro: |
Coffea Canephora. |
Thesaurus Nal: |
Genomics; Genotype; Plant breeding; Prediction. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159395/1/Genomic-selection-for-genotype.pdf
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Marc: |
LEADER 02692naa a2200289 a 4500 001 2159395 005 2023-12-08 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1093/g3journal/jkad062$2DOI 100 1 $aADUNOLA, P. 245 $aGenomic selection for genotype performance and environmental stability in Coffea canéfora.$h[electronic resource] 260 $c2023 520 $aCoffee is one of the most important beverages and trade products in the world. Among the multiple research initiatives focused on coffee sustainability, plant breeding provides the best means to increase phenotypic performance and release cultivars that could meet market demands. Since coffee is well adapted to a diversity of tropical environments, an important question for those confronting the problem of evaluating phenotypic performance is the relevance of genotype-by-environment interaction. As a perennial crop with a long juvenile phase, coffee is subjected to significant temporal and spatial variations. Such facts not only hinder the selection of promising materials but also cause a majority of complaints among growers. In this study, we hypothesized that trait stability in coffee is genetically controlled and therefore is predictable using molecular information. To test it, we used genome-based methods to predict stability metrics computed with the primary goal of selecting coffee genotypes that combine high phenotypic performance and stability for target environments. Using 2 populations of Coffea canephora, evaluated across multiple years and locations, our contribution is 3-fold: (1) first, we demonstrated that the number of harvest evaluations may be reduced leading to accelerated implementation of molecular breeding; (2) we showed that stability metrics are predictable; and finally, (3) both stable and high-performance genotypes can be simultaneously predicted and selected. While this research was carried out on representative environments for coffee production with substantial crossover in genotypic ranking, we anticipate that genomic prediction can be an efficient tool to select coffee genotypes that combine high performance and stability across years and the target locations here evaluated. 650 $aGenomics 650 $aGenotype 650 $aPlant breeding 650 $aPrediction 650 $aCoffea Canephora 700 1 $aFERRÃO, M. A. G. 700 1 $aFERRÃO, R. G. 700 1 $aFONSECA, A. F. A. da 700 1 $aVOLPI, P. S. 700 1 $aCOMÉRIO, M. 700 1 $aVERDIN FILHO, A. C. 700 1 $aMUNOZ, P. R. 700 1 $aFERRÃO, L. F. V. 773 $tG3: Genes, Genomes, Genetics$gv. 13, n. 6, p. 1-13, 2023.
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Embrapa Café (CNPCa) |
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Registros recuperados : 7 | |
1. | | ALVES, A.; FREGENE, M.; SETTER, T.; DUQUE, L.; FERGUSON, M.; MKAMILO, G. Identifying the physiological and genetic traits related to drought tolerance mechanisms in cassava. In: SCIENTIFIC MEETING OF THE GLOBAL CASSAVA PARTNERSHIP, 1., 2008, Ghent. Cassava: meeting the challenges of the new millennium. Ghent:: IPBO, 2008. p. 142. S10-6.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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2. | | ALVES, A.; SETTER, T.; FREGENE, M.; FERGUSON, M.; DUQUE, L.; MUTEGI, R.; MKAMILO, G. Traits related to drought tolerance mechanisms in cassava. In: CGIAR GENERATION CHALLENGE PROGRAMME ANNUAL RESEARCH MEETING, 2008, Bangkok, Thailand. Poster abstracts... Mexico, DF: Generation Challenge Programme, 2008. p. 53.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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3. | | MUTEGI, R.; FERGUSON, M.; MAASS, B. L.; MKAMILO, G.; KAMAU, J.; ADJEBENG-DANQUAH, J.; ALVES, A.; SETTER, T.; FREGENE, M. Field evaluation of cassava varieties under drought stress in Kenia, Tanzania and Ghana. In: CGIAR GENERATION CHALLENGE PROGRAMME ANNUAL RESEARCH MEETING, 2008, Bangkok, Thailand. Poster abstracts... Mexico, DF: Generation Challenge Programme, 2008. p. 54.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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4. | | MUTEGI, R.; FERGUSON, M.; MAASS, B. L.; MKAMILO, G.; KAMAU, J.; ADJEBENG-DANQUAH, J.; ALVES, A.; SETTER, T.; FREGENE, M. Field evaluation of cassava varieties under drought stress in Kenya, Tanzania and Ghana. In: SCIENTIFIC MEETING OF THE GLOBAL CASSAVA PARTNERSHIP, 1., 2008, Ghent. Cassava: meeting the challenges of the new millennium. Ghent:: IPBO, 2008. p. 148. SP10-07.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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5. | | FERGUSON, M. E.; JARVIS, A.; STALKER, H. T.; WILLIAMS, D. E.; GUARINO, L.; VALLS, J. F. M.; PITTMAN, R. N.; SIMPSON, C. E.; BRAMEL, P. J. Biogeography of wild Arachis (Leguminosae): distribution and environmental characterisation. Biodiversity and Conservation, v. 14, n. 7, p. 1777-1798, 2005.Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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6. | | ALVES, A. A. C.; FREGENE, M.; FERGUSON, M.; SETTER, T.; CEBALLOS, H.; MKAMILO, G.; KANJU, E.; OSEI, C.; SOUZA, A.; RODRÍGUEZ, M. A. D.; SILVA, A. Identifying the physiological and genetic traits that make cassava one of the most drought tolerant crops. In: GENERATION CHALLENGE PROGRAMME. Project mid-year and final reports: competitive and commissioned projects: 2007. Mexico, DF: Generation Challenge Programme, 2007. p. 47-49.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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7. | | ALVES, A.; DITA, M.; SOUZA, A.; SILVA, A. F.; FREGENE, M.; CEBALLOS, H.; SETTER, T.; DUQUE, L.; FERGUSON, M.; MUTEGI, R.; MKAMILO, G.; ADJEBENG-DANQUAH, J.; KAMAU, J. Identifying the physiological and genetic traits that make cassava one of the most drought tolerant crops. In: CGIAR GENERATION CHALLENGE PROGRAMME ANNUAL RESEARCH MEETING, 2008, Bangkok, Thailand. Project abstracts... Mexico, DF: Generation Challenge Programme, 2008. p. 30-31.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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Registros recuperados : 7 | |
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Nenhum registro encontrado para a expressão de busca informada. |
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