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| Registros recuperados : 122 | |
| 23. |  | CARNEIRO, F. de A.; MARRACCINI, P.; BALESTRE, M.; GRATTAPAGLIA, D.; ANDRADE, A. C. Genomic selection in Coffea canephora. In: SIMPÓSIO INTERNACIONAL DE GENÉTICA E MELHORAMENTO, 8., 2017, Viçosa, MG. Ômicas: do gene ao fenótipo. [Proceedings...] Viçosa, MG: UFV, 2017.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 24. | | CARNEIRO, F. de A.; MARRACCINI, P.; BALESTRE, M.; GRATTAPAGLIA, D.; ANDRADE, A. C. Genomic selection in Coffea canephora. In: SIMPÓSIO INTERNACIONAL DE GENÉTICA E MELHORAMENTO, 8., 2017, Viçosa, MG. Ômicas: do gene ao fenótipo. [Proceedings...] Viçosa, MG: UFV, 2017.| Biblioteca(s): Embrapa Café. |
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| 29. | | BRANDÃO, Z. N.; CARNEIRO, F. C.; SILVA JUNIOR, C. A. da; SHIRATSUCHI, L. S. Desenvolvimento de técnica para aplicação de desfolhante em taxa variável no algodoeiro. In: SILVA-MATOS, R. R. S. da; DOIHARA, I. P.; LINHARES, S. C. (org.). Medio ambiente: Agricultura, desarrollo y sustentabilidad 2. Ponta Grossa, PR: Atena, 2023. c. 2. p. 10-20.| Biblioteca(s): Embrapa Algodão. |
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| 31. | | REICHEL, T.; ALVES, G. S. C.; AQUINO, S. O.; CARNEIRO, F.; ANDRADE, A. C.; MARRACCINI, P. Expression analysis ofdrebsubfamily genes in leaves and roots of Coffea canephora Conilon subjected to Drought. In: INTERNATIONAL CONFERENCE ON COFFE SCIENCE, 26., 2016, China. The programm & abstrcets... China: Asic, 2016. p. 183.| Biblioteca(s): Embrapa Café. |
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| 33. | | CARNEIRO, F. M.; BRITO FILHO, A. L. de; MARTINS, M. de S.; BRANDÃO, Z. N.; SHIRATSUCHI, L. S. Machine learning approach for corn nitrogen recommendation. In: SILVA-MATOS, R. R. S. da; DOIHARA, I. P.; LINHARES, S. C. (org.). Medio ambiente: Agricultura, desarrollo y sustentabilidad 2. Ponta Grossa, PR: Atena, 2023. c. 3. p. 21-28.| Biblioteca(s): Embrapa Algodão. |
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| 34. | | OLIVEIRA, V. M. de; TORRES, R. de A.; CARVALHO, D. M. F.; ROCHA, B. B.; CARNEIRO, F. M. Atividades relacionadas à ordenha que podem alterar a saúde do úbere, a qualidade e a composição do leite. In: TORRES, R. de A.; OLIVEIRA, V. M.; RODRIGUES, C. A. F. (Ed.). Políticas e tecnologias para o desenvolvimento da pecuária de leite familiar da Zona da Mata Mineira. Juiz de Fora: Embrapa Gado de Leite, 2009. p. 113-128.| Biblioteca(s): Embrapa Gado de Leite. |
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| 35. | | SILVA, M. M. de A.; CARNEIRO, F. W. de O.; OLIVEIRA, A. F. M. de; CAMARA, T. Ação de fitorreguladores na organogênese in vitro de mamoneira e atividade de enzimas do sistema antioxidante. In: CONGRESSO BRASILEIRO DE MAMONA, 5.; SIMPÓSIO INTERNACIONAL DE OLEAGINOSAS ENERGÉTICAS, 2.; FÓRUM CAPIXABA DE PINHÃO-MANSO, 1., 2012, Guarapari. Desafios e Oportunidades: anais. Campina Grande: Embrapa Algodão, 2012. p. 15| Biblioteca(s): Embrapa Algodão. |
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| 36. | | AQUINO, S. O. de; CARNEIRO, F. de A.; RÊGO, E. C. S.; DUARTE, K. E.; ANDRADE, A. C.; MARRACCINI, P. Análise de promotores do gene CcDREBID de Coffea canephora via transformação genética de Nicotiana tabacum. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 9., 2015, Curitiba. Anais... Brasília, DF: Embrapa Café, 2015.| Biblioteca(s): Embrapa Café. |
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| 37. | | CARNEIRO, F. S.; LACERDA, A. E. B. de; LEMES, M. R.; GRIBEL, R.; KANASHIRO, M.; SEBBENN, A. M. Mendelian inheritance, linkage and genotypic disequilibrium in microsatellite loci isolated from Hymenaea courbaril (Leguminosae). Genetics and Molecular Research, v. 11, n. 3, p. 1942-1948, 2012.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Florestas. |
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| 38. | | TORQUILHO, D. F.; QUEIROZ, A. P. de A.; CARNEIRO, F. P.; LIMA, M. F.; LAGO, R. C. A. Mono- e sesquiterpenos do hidrodestilado de folhas, caroco e casca de abacate. In: CONGRESSO LATINOAMERICANO DE CROMATOGRAFIA, 7., 1998, Aguas de Sao Pedro. Livro de Resumos... Aguas de Sao Pedro, 1998 . p.123.| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| Registros recuperados : 122 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
06/03/2017 |
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Data da última atualização: |
29/03/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ANDRADE, A. C.; SILVA JUNIOR, O. B. da; CARNEIRO, F.; MARRACCINI, P.; GRATTAPAGLIA, D. |
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Afiliação: |
ALAN CARVALHO ANDRADE, SAPC; ORZENIL BONFIM DA SILVA JUNIOR, Cenargen; UFLA; CIRAD; DARIO GRATTAPAGLIA, Cenargen. |
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Título: |
Towards GWAS and Genomic Prediction in Coffee: Development and Validation of a 26K SNP Chip for Coffea Canephora. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME, 25., 2017, San Diego. Final program & exhibite guide... San Diego: USDA, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
Genome-wide SNP genotyping platforms aiming at high-throughput and high-precision genotyping constitute an essential tool to advance breeding by genomic prediction and gene discovery by GWAS. Recent advances in coffee genomics with the sequencing of the Coffea canephora reference genome, has provided the coffee scientific community the necessary resource to develop a SNPs toolbox for genome-wide genotyping. C. canephora, an allogamous diploid species, and one of the parents of the allotetraploid C. arabica, has been an important source of genetic variability for breeding programs of both cultivated species. Highly heterozygous genomes such as C. canephora require a much higher sequence depth to reach acceptable marker call rates and genotype accuracy, when using sequence-based genotyping methods such that their cost effectiveness may not be realized. Here we describe the development and validation of a 26K Axiom SNP array (Affymetrix) whose genome- wide distributed SNP content was discovered from pooled whole-genome resequencing of C. canephora accessions covering most of its known genetic diversity. Besides facilitating low cost, high marker density, polymorphism and speed of data generation, the platform displays high genotype call accuracy and reproducibility. Genotyping validation resulted in 24,073 SNPs (94.6%) successfully converted out of the 25,456 SNPs on the array. 20,982 markers(87.1%) were scored as providing high-resolution genotypic data in a set of 800 individuals of a breeding population in which 19,586 (81.4%) were polymorphic and 1,396 (5.8%) were monomorphic. The remaining set of 3,091 (12.8%) successfully converted markers were of lower accuracy in the studied sample and may require additional cluster analysis to proper biological interpretation, i.e. targeting CNVs. This large validated SNP collection provides a powerful tool for molecular breeding and population genetics investigation within coffee species. Some preliminary results of a GWAS using this genotyping platform will be presented. MenosGenome-wide SNP genotyping platforms aiming at high-throughput and high-precision genotyping constitute an essential tool to advance breeding by genomic prediction and gene discovery by GWAS. Recent advances in coffee genomics with the sequencing of the Coffea canephora reference genome, has provided the coffee scientific community the necessary resource to develop a SNPs toolbox for genome-wide genotyping. C. canephora, an allogamous diploid species, and one of the parents of the allotetraploid C. arabica, has been an important source of genetic variability for breeding programs of both cultivated species. Highly heterozygous genomes such as C. canephora require a much higher sequence depth to reach acceptable marker call rates and genotype accuracy, when using sequence-based genotyping methods such that their cost effectiveness may not be realized. Here we describe the development and validation of a 26K Axiom SNP array (Affymetrix) whose genome- wide distributed SNP content was discovered from pooled whole-genome resequencing of C. canephora accessions covering most of its known genetic diversity. Besides facilitating low cost, high marker density, polymorphism and speed of data generation, the platform displays high genotype call accuracy and reproducibility. Genotyping validation resulted in 24,073 SNPs (94.6%) successfully converted out of the 25,456 SNPs on the array. 20,982 markers(87.1%) were scored as providing high-resolution genotypic data in a set of 800 individ... Mostrar Tudo |
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Palavras-Chave: |
Coffee Berry Borer; Coffee canephora. |
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Thesagro: |
Coffea Canephora. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157203/1/Coffe-genomics.pdf
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Marc: |
LEADER 02724nam a2200193 a 4500
001 2066344
005 2017-03-29
008 2017 bl uuuu u00u1 u #d
100 1 $aANDRADE, A. C.
245 $aTowards GWAS and Genomic Prediction in Coffee$bDevelopment and Validation of a 26K SNP Chip for Coffea Canephora.$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOME, 25., 2017, San Diego. Final program & exhibite guide... San Diego: USDA$c2017
520 $aGenome-wide SNP genotyping platforms aiming at high-throughput and high-precision genotyping constitute an essential tool to advance breeding by genomic prediction and gene discovery by GWAS. Recent advances in coffee genomics with the sequencing of the Coffea canephora reference genome, has provided the coffee scientific community the necessary resource to develop a SNPs toolbox for genome-wide genotyping. C. canephora, an allogamous diploid species, and one of the parents of the allotetraploid C. arabica, has been an important source of genetic variability for breeding programs of both cultivated species. Highly heterozygous genomes such as C. canephora require a much higher sequence depth to reach acceptable marker call rates and genotype accuracy, when using sequence-based genotyping methods such that their cost effectiveness may not be realized. Here we describe the development and validation of a 26K Axiom SNP array (Affymetrix) whose genome- wide distributed SNP content was discovered from pooled whole-genome resequencing of C. canephora accessions covering most of its known genetic diversity. Besides facilitating low cost, high marker density, polymorphism and speed of data generation, the platform displays high genotype call accuracy and reproducibility. Genotyping validation resulted in 24,073 SNPs (94.6%) successfully converted out of the 25,456 SNPs on the array. 20,982 markers(87.1%) were scored as providing high-resolution genotypic data in a set of 800 individuals of a breeding population in which 19,586 (81.4%) were polymorphic and 1,396 (5.8%) were monomorphic. The remaining set of 3,091 (12.8%) successfully converted markers were of lower accuracy in the studied sample and may require additional cluster analysis to proper biological interpretation, i.e. targeting CNVs. This large validated SNP collection provides a powerful tool for molecular breeding and population genetics investigation within coffee species. Some preliminary results of a GWAS using this genotyping platform will be presented.
650 $aCoffea Canephora
653 $aCoffee Berry Borer
653 $aCoffee canephora
700 1 $aSILVA JUNIOR, O. B. da
700 1 $aCARNEIRO, F.
700 1 $aMARRACCINI, P.
700 1 $aGRATTAPAGLIA, D.
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Embrapa Café (CNPCa) |
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