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Registros recuperados : 11 | |
1. | | FIGUEIREDO, U. J. de; BERCHEMBROCK, Y. V.; VALLE, C. B. do; BARRIOS, S. C. L.; QUESENBERRY, K. H.; MUÑOZ, P. R.; NUNES, J. A. R. Evaluating early selection in perennial tropical forages. Crop Breeding and Applied Biotechnology, v. 19, n. 3, p. 291-299, 2019. Biblioteca(s): Embrapa Gado de Corte. |
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2. | | MÜLLER, B. S. F.; NEVES, L. G.; RESENDE JÚNIOR, M. F. R.; MUÑOZ, P. R.; KIRST, M.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; GRATTAPAGLIA, D. Genomic selection for growth traits in Eucalyptus benthamii and E. pellita populations using a genome-wide Eucalyptus 60K SNPs chip. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM, 2015. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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3. | | MÜLLER, B. S. F.; NEVES, L. G.; RESENDE JÚNIOR, M. F. R.; MUÑOZ, P. R.; KIRST, M.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; GRATTAPAGLIA, D. Genomic selection for growth traits in Eucalyptus benthamii and E. pellita populations using a genome-wide Eucalyptus 60K SNPs chip. In: IUFRO TREE BIOTECHNOLOGY CONFERENCE, 2015, Florence. Forests: the importance to the planet and society. [S.l.]: IBBR: ICCOM, 2015. Pen-drive. Biblioteca(s): Embrapa Florestas. |
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4. | | RESENDE JUNIOR, M.; RESENDE, M. D. V. de; MUNOZ, P. R.; TAKAHASHI, E. K.; PETROLI, C.; SANSALONI, C.; KIRST, M.; GRATTAPAGLIA, D. Increase in efficiency of genomic selection sing epistatic interactions and detection of candidate genes for rust resistance in Eucalyptus. In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. Abstracts... Jersey City: Scherago International, 2013. W287. Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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5. | | RESENDE JUNIOR, M.; RESENDE, M. D. V. de; MUNOZ, P. R.; TAKAHASHI, E. K.; PETROLI, C.; SANSALONI, C.; KIRST, M.; GRATTAPAGLIA, D. Increase in efficiency of genomic selection sing epistatic interactions and detection of candidate genes for rust resistance in Eucalyptus. In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. Abstracts... Jersey City: Scherago International, 2013. W287. Biblioteca(s): Embrapa Florestas. |
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6. | | AZEVEDO, C. F.; FERRÃO, L. F. V.; BENEVENUTO, J.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; MUNOZ, P. R. Using visual scores for genomic prediction of complex traits in breeding programs. Theoretical and Applied Genetics, v. 137, n. 1, 2024. 16 p. Biblioteca(s): Embrapa Café. |
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7. | | MUÑOZ, P. R.; RESENDE JUNIOR, M. F. R.; GEZAN, S. A.; RESENDE, M. D. V. de; CAMPOS, G. de los; KIRST, M.; HUBER, D.; PETER, G. F. Unraveling additive from nonadditive effects using genomic relationship matrices. Genetics, v. 198, p. 1759-1768, Dec. 2014. Biblioteca(s): Embrapa Florestas. |
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8. | | FERRAO, M. A. G.; FONSECA, A. F. A. da; VOLPI, P. S.; SOUZA, L. C. de; COMÉRIO, M.; VERDIN FILHO, A. C.; RIVA-SOUZA, E. M.; MUNOZ, P. R.; FERRÃO, R. G.; FERRÃO, L. F. V. Genomic-assisted breeding for climate-smart coffee. The Plant Genome, e20321, 2023. 19 p. Biblioteca(s): Embrapa Café. |
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9. | | MÜLLER, B. S. F.; NEVES, L. G.; ALMEIDA FILHO, J. E. de; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. R.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; KIRST, M.; GRATTAPAGLIA, D. Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. BMC Genomics, v. 18, article 524, 2017. 17 p. Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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10. | | MUNOZ, P. R.; RESENDE JUNIOR, M. F. R.; HUBER, D. A.; QUESADA, T.; RESENDE, M. D. V. de; NEALE, D. B.; WEGRZYN, J. L.; KIRST, M.; PETER, G. F. Genomic relationship matrix for correcting pedigree errors in breeding populations: impact on genetic parameters and genomic selection accuracy. Crop Science, v. 54, p. 115-1123, May/June 2014. Biblioteca(s): Embrapa Florestas. |
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11. | | 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. Genomic selection for genotype performance and environmental stability in Coffea canéfora. G3: Genes, Genomes, Genetics, v. 13, n. 6, p. 1-13, 2023. Biblioteca(s): Embrapa Café. |
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Registros recuperados : 11 | |
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Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
23/03/2023 |
Data da última atualização: |
11/07/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FERRAO, M. A. G.; FONSECA, A. F. A. da; VOLPI, P. S.; SOUZA, L. C. de; COMÉRIO, M.; VERDIN FILHO, A. C.; RIVA-SOUZA, E. M.; MUNOZ, P. R.; FERRÃO, R. G.; FERRÃO, L. F. V. |
Afiliação: |
MARIA AMELIA GAVA FERRAO, CNPCa; 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; LUCIMARA C. DE SOUZA, 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; ELAINE M. RIVA-SOUZA, INSTITUTO CAPIXABA DE PESQUISA, ASSISTÊNCIA TÉCNICA E EXTENSÃO RURAL; PATRICIO R. MUNOZ, UNIVERSITY OF FLORIDA; ROMÁRIO G. FERRÃO, MULTIVIX GROUP; LUÍS FELIPE V. FERRÃO, UNIVERSITY OF FLORIDA. |
Título: |
Genomic-assisted breeding for climate-smart coffee. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
The Plant Genome, e20321, 2023. |
Páginas: |
19 p. |
DOI: |
https://doi.org/10.1002/tpg2.20321 |
Idioma: |
Inglês |
Conteúdo: |
Coffee is a universal beverage that drives a multi-industry market on a global basis. Today, the sustainability of coffee production is threatened by accelerated climate changes. In this work, we propose the implementation of genomic-assisted breeding for climate-smart coffee in Coffea canephora. This species is adapted to higher temperatures and is more resilient to biotic and abiotic stresses. After evaluating two populations, over multiple harvests, and under severe drought weather condition, we dissected the genetic architecture of yield, disease resistance, and quality-related traits. By integrating genome-wide association studies and diallel analyses, our contribution is four-fold: (i) we identified a set of molecular markers with major effects associated with disease resistance and post-harvest traits, while yield and plant architecture presented a polygenic background; (ii) we demonstrated the relevance of nonadditive gene actions and projected hybrid vigor when genotypes from diferente geographically botanical groups are crossed; (iii) we computed medium-to-large heritability values for most of the traits, representing potential for fast genetic progress; and (iv) we provided a first step toward implementing molecular breeding to accelerate improvements in C. canephora. Altogether, this work is a blueprint for how quantitative genetics and genomics can assist coffee breeding and support the supply chain in the face of the current global changes. |
Thesaurus NAL: |
Climate; Coffea canephora var. laurentii; Disease resistance; Plant breeding. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152628/1/Genomic8208assisted-breeding-for-climate8208smart-coffee.pdf
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Marc: |
LEADER 02317naa a2200301 a 4500 001 2152628 005 2023-07-11 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1002/tpg2.20321$2DOI 100 1 $aFERRAO, M. A. G. 245 $aGenomic-assisted breeding for climate-smart coffee.$h[electronic resource] 260 $c2023 300 $a19 p. 520 $aCoffee is a universal beverage that drives a multi-industry market on a global basis. Today, the sustainability of coffee production is threatened by accelerated climate changes. In this work, we propose the implementation of genomic-assisted breeding for climate-smart coffee in Coffea canephora. This species is adapted to higher temperatures and is more resilient to biotic and abiotic stresses. After evaluating two populations, over multiple harvests, and under severe drought weather condition, we dissected the genetic architecture of yield, disease resistance, and quality-related traits. By integrating genome-wide association studies and diallel analyses, our contribution is four-fold: (i) we identified a set of molecular markers with major effects associated with disease resistance and post-harvest traits, while yield and plant architecture presented a polygenic background; (ii) we demonstrated the relevance of nonadditive gene actions and projected hybrid vigor when genotypes from diferente geographically botanical groups are crossed; (iii) we computed medium-to-large heritability values for most of the traits, representing potential for fast genetic progress; and (iv) we provided a first step toward implementing molecular breeding to accelerate improvements in C. canephora. Altogether, this work is a blueprint for how quantitative genetics and genomics can assist coffee breeding and support the supply chain in the face of the current global changes. 650 $aClimate 650 $aCoffea canephora var. laurentii 650 $aDisease resistance 650 $aPlant breeding 700 1 $aFONSECA, A. F. A. da 700 1 $aVOLPI, P. S. 700 1 $aSOUZA, L. C. de 700 1 $aCOMÉRIO, M. 700 1 $aVERDIN FILHO, A. C. 700 1 $aRIVA-SOUZA, E. M. 700 1 $aMUNOZ, P. R. 700 1 $aFERRÃO, R. G. 700 1 $aFERRÃO, L. F. V. 773 $tThe Plant Genome, e20321, 2023.
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