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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
13/12/2016 |
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Data da última atualização: |
13/12/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOBREIRA, F. M.; OLIVEIRA, A. C. B. de; PEREIRA, A. A.; MARTINS, A. G.; SAKIYAMA, N. S. |
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Afiliação: |
FABRÍCIO MOREIRA SOBREIRA, Instituto Federal de Educação, Ciência e Tecnologia Catarinense; ANTONIO CARLOS BAIAO DE OLIVEIRA, SAPC; ANTONIO ALVES PEREIRA, SAPC; ANDRÉ GUARÇONI MARTINS, INCAPER; NEY SUSSUMU SAKIYAMA, UFV. |
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Título: |
Divergence among arabica coffee genotypes for sensory quality. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Australian Journal of Crop Science, v. 10, n. 10, p. 1442-1448, out. 2016 |
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Idioma: |
Inglês |
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Conteúdo: |
The production of specialty coffees is the main criterion to add value to the product. However, there is a lack of information regarding genetic variability of C. arabica for quality improvement. The aim of this study was to analyze the genetic divergence among Coffee arabica genotypes regarding the potential cup quality, possible limitations and their potential use in breeding programs to improve quality. We evaluated 101 coffee genotypes from the Germplasm Active Bank of Empresa de Pesquisa Agropecuária de Minas Gerais, covering different groups of genealogical origin. A randomized block design was used with two replications. Sensory analysis of the beverage was performed by two tasters per sample (repetition), using the Cup of Excellence methodology enhanced by the Brazilian Specialty Coffee Association. The attributes assessed were clean cup, sweetness, acidity, body, flavor, aftertaste, balance, overall and final score. K-means and Ward clustering methods were used to study the genotypes divergence. Based on sensory scores, the formed clusters differed with regards to all sensory characteristics (P ≤ 0.01). Three K-means clusters were formed among 40, 45 and 16 genotypes, with final average scores of 80.11, 83.17 and 87.56 points, respectively. Ninety percent of the genotypes evaluated have the genetic potential to produce specialty coffees. The observed divergence indicates the potential of genetic gains for quality and the Híbrido de Timor germplasm can be used for this purpose. MenosThe production of specialty coffees is the main criterion to add value to the product. However, there is a lack of information regarding genetic variability of C. arabica for quality improvement. The aim of this study was to analyze the genetic divergence among Coffee arabica genotypes regarding the potential cup quality, possible limitations and their potential use in breeding programs to improve quality. We evaluated 101 coffee genotypes from the Germplasm Active Bank of Empresa de Pesquisa Agropecuária de Minas Gerais, covering different groups of genealogical origin. A randomized block design was used with two replications. Sensory analysis of the beverage was performed by two tasters per sample (repetition), using the Cup of Excellence methodology enhanced by the Brazilian Specialty Coffee Association. The attributes assessed were clean cup, sweetness, acidity, body, flavor, aftertaste, balance, overall and final score. K-means and Ward clustering methods were used to study the genotypes divergence. Based on sensory scores, the formed clusters differed with regards to all sensory characteristics (P ≤ 0.01). Three K-means clusters were formed among 40, 45 and 16 genotypes, with final average scores of 80.11, 83.17 and 87.56 points, respectively. Ninety percent of the genotypes evaluated have the genetic potential to produce specialty coffees. The observed divergence indicates the potential of genetic gains for quality and the Híbrido de Timor germplasm can be used ... Mostrar Tudo |
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Palavras-Chave: |
Bourbon; Híbrido de timor; Specialty coffee. |
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Thesaurus Nal: |
Genetic resources. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/151659/1/Divergence-among-arabica-coffee.pdf
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Marc: |
LEADER 02159naa a2200217 a 4500
001 2058485
005 2016-12-13
008 2016 bl uuuu u00u1 u #d
100 1 $aSOBREIRA, F. M.
245 $aDivergence among arabica coffee genotypes for sensory quality.$h[electronic resource]
260 $c2016
520 $aThe production of specialty coffees is the main criterion to add value to the product. However, there is a lack of information regarding genetic variability of C. arabica for quality improvement. The aim of this study was to analyze the genetic divergence among Coffee arabica genotypes regarding the potential cup quality, possible limitations and their potential use in breeding programs to improve quality. We evaluated 101 coffee genotypes from the Germplasm Active Bank of Empresa de Pesquisa Agropecuária de Minas Gerais, covering different groups of genealogical origin. A randomized block design was used with two replications. Sensory analysis of the beverage was performed by two tasters per sample (repetition), using the Cup of Excellence methodology enhanced by the Brazilian Specialty Coffee Association. The attributes assessed were clean cup, sweetness, acidity, body, flavor, aftertaste, balance, overall and final score. K-means and Ward clustering methods were used to study the genotypes divergence. Based on sensory scores, the formed clusters differed with regards to all sensory characteristics (P ≤ 0.01). Three K-means clusters were formed among 40, 45 and 16 genotypes, with final average scores of 80.11, 83.17 and 87.56 points, respectively. Ninety percent of the genotypes evaluated have the genetic potential to produce specialty coffees. The observed divergence indicates the potential of genetic gains for quality and the Híbrido de Timor germplasm can be used for this purpose.
650 $aGenetic resources
653 $aBourbon
653 $aHíbrido de timor
653 $aSpecialty coffee
700 1 $aOLIVEIRA, A. C. B. de
700 1 $aPEREIRA, A. A.
700 1 $aMARTINS, A. G.
700 1 $aSAKIYAMA, N. S.
773 $tAustralian Journal of Crop Science$gv. 10, n. 10, p. 1442-1448, out. 2016
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Registro original: |
Embrapa Café (CNPCa) |
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Registro Completo
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
14/01/2020 |
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Data da última atualização: |
20/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
SILVA, M. B. da; DAVIS, R. F.; PATERSON, A. H.; SMITH, S. M.; SUASSUNA, N. D.; CHEE, P. W. |
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Afiliação: |
Mychele B. da Silva, Department of Plant Pathology, University of Georgia; Richard F. Davis, Crop Protection and Management Research Unit - USDA-ARS; Andrew H. Paterson, Plant Genome Mapping Lab, University of Georgia; Shavannor M. Smith, Department of Plant Pathology, University of Georgia; NELSON DIAS SUASSUNA, CNPA; Peng W. Chee, Institute of Plant Breeding, Genetics, and Genomics, University of Georgia. |
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Título: |
Host-pathogen wars: new weapons from biotechnology and genomics. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
American Journal of Plant Sciences, v. 10, n. 3, p. 402-416, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Pathogens are imminent threats to crop production. Among the management tools available to protect crops from diseases, the use of host-plant resistance had been hindered by a lack of tools and resources to identify resistance genes (R-genes). Genomic technologies have empowered acquisition of a new level and quality of information on plant-pathogen interactions. Next generation sequencing, differential transcriptome analysis, gene editing, and use of bioinformatics have greatly expanded the numbers of R-genes identified, enriched understanding of R-avirulence gene interactions, and disease diagnosis. In this review, we highlight the application of genomic technologies to identification of pathogen machinery for future improvement of host plant resistance. |
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Palavras-Chave: |
Crop Improvement; Host-Plant Resistance; R-Genes. |
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Thesaurus NAL: |
Genomics. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208709/1/Host-pathogen-wars.pdf
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Marc: |
LEADER 01415naa a2200229 a 4500
001 2118687
005 2020-01-20
008 2019 bl uuuu u00u1 u #d
100 1 $aSILVA, M. B. da
245 $aHost-pathogen wars$bnew weapons from biotechnology and genomics.$h[electronic resource]
260 $c2019
520 $aPathogens are imminent threats to crop production. Among the management tools available to protect crops from diseases, the use of host-plant resistance had been hindered by a lack of tools and resources to identify resistance genes (R-genes). Genomic technologies have empowered acquisition of a new level and quality of information on plant-pathogen interactions. Next generation sequencing, differential transcriptome analysis, gene editing, and use of bioinformatics have greatly expanded the numbers of R-genes identified, enriched understanding of R-avirulence gene interactions, and disease diagnosis. In this review, we highlight the application of genomic technologies to identification of pathogen machinery for future improvement of host plant resistance.
650 $aGenomics
653 $aCrop Improvement
653 $aHost-Plant Resistance
653 $aR-Genes
700 1 $aDAVIS, R. F.
700 1 $aPATERSON, A. H.
700 1 $aSMITH, S. M.
700 1 $aSUASSUNA, N. D.
700 1 $aCHEE, P. W.
773 $tAmerican Journal of Plant Sciences$gv. 10, n. 3, p. 402-416, 2019.
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Registro original: |
Embrapa Algodão (CNPA) |
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