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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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Registro original: |
Embrapa Café (CNPCa) |
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Biblioteca(s): |
Embrapa Agroenergia. |
Data corrente: |
18/09/2017 |
Data da última atualização: |
11/01/2018 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
ARANTES, A. F. B.; TAMIETTI, M. S.; ARAUJO, A. C. B. de; BRUNALE, P. P. de B.; MORAES, B. R. de L.; FRANCO, P. F.; COSTA, P. P. K. G.; JARAMILLO, P. M. D.; QUIRINO, B. F.; SOUTO, B. de M.; SOARES, I. P.; FAVARO, L. C. de L. |
Afiliação: |
ARTUR FIUZA BORGES ARANTES; MARIANA SANTOS TAMIETTI; ANA CAROLINA BITENCOURT DE ARAUJO; PATRÍCIA PORTELA DE MEDEIROS BRUNALE; BRUNO RAFAEL DE LIMA MORAES; PAULA FERNANDES FRANCO, CNPAE; PATRICIA PINTO KALIL G COSTA, CNPAE; PAULA MARCELA DUQUE JARAMILLO; BETANIA FERRAZ QUIRINO, CNPAE; BETULIA DE MORAIS SOUTO, CNPAE; ITANIA PINHEIRO SOARES, CNPAE; LEIA CECILIA DE LIMA FAVARO, CNPAE. |
Título: |
Contaminação microbiana de biodiesel (B100), diesel (B0), e blendas (B7) comercializadas no Estado de Goiás e no Distrito Federal. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 4.,2017, Brasília, DF. Anais... Brasília, DF: Embrapa, 2017. |
Páginas: |
p. 10-15. |
Idioma: |
Português |
Palavras-Chave: |
Bactérias; Biocombustíveis; DNA ribosomal; Fungos filamentosos; Isolamento microbiano. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163914/1/Paginas-de-Anais-IV-EnPI1-11-16.pdf
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Marc: |
LEADER 01030nam a2200301 a 4500 001 2075757 005 2018-01-11 008 2017 bl uuuu u00u1 u #d 100 1 $aARANTES, A. F. B. 245 $aContaminação microbiana de biodiesel (B100), diesel (B0), e blendas (B7) comercializadas no Estado de Goiás e no Distrito Federal.$h[electronic resource] 260 $aIn: ENCONTRO DE PESQUISA E INOVAÇÃO DA EMBRAPA AGROENERGIA, 4.,2017, Brasília, DF. Anais... Brasília, DF: Embrapa$c2017 300 $ap. 10-15. 653 $aBactérias 653 $aBiocombustíveis 653 $aDNA ribosomal 653 $aFungos filamentosos 653 $aIsolamento microbiano 700 1 $aTAMIETTI, M. S. 700 1 $aARAUJO, A. C. B. de 700 1 $aBRUNALE, P. P. de B. 700 1 $aMORAES, B. R. de L. 700 1 $aFRANCO, P. F. 700 1 $aCOSTA, P. P. K. G. 700 1 $aJARAMILLO, P. M. D. 700 1 $aQUIRINO, B. F. 700 1 $aSOUTO, B. de M. 700 1 $aSOARES, I. P. 700 1 $aFAVARO, L. C. de L.
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Embrapa Agroenergia (CNPAE) |
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