| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Café. |
|
Data corrente: |
17/10/2019 |
|
Data da última atualização: |
17/10/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
BARBOSA, I. de P.; COSTA, W. G. da; NASCIMENTO, M.; CRUZ, C. D.; OLIVEIRA, A. C. B. de. |
|
Afiliação: |
Ivan de Paiva Barbosa, Universidade Federal de Viçosa - UFV/Departamento de Biologia Geral; Weverton Gomes da Costa, Universidade Federal de Viçosa - UFV/Departamento de Biologia Geral; Moyés Nascimento, Universidade Federal de Viçosa - UFV/Departamento de Estatística; Cosme Damião Cruz, Universidade Federal de Viçosa - UFV/Departamento de Biologia Geral; ANTONIO CARLOS BAIAO DE OLIVEIRA, CNPCa. |
|
Título: |
Recommendation of Coffea arabica genotypes by factor analysis. |
|
Ano de publicação: |
2019 |
|
Fonte/Imprenta: |
Euphytica, v. 215, n. 10, October 2019. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Responsible for approximately 70% of the world?s coffee exports, Brazil is increasingly concerned about the quality of the coffees produced, given the growing demand for so-called specialty coffees. With this, the breeders need, besides the agronomic characteristics, to consider the physical and sensorial quality of the beans in the breeding programs. However, the greater the number of characteristics to be considered in the selection process, the higher the difficulty in selecting superior genotypes. In this context, multivariate analyzes can help to overcome this problem. In the light of the facts, the objective was to select Coffea arabica genotypes with a high simultaneous potential of variables of commercial interest, in three municipalities belonging to the Matas de Minas region?MG, Brazil, through factor analysis, using their scores as criteria or indices of selection for genotype identification. Multivariate analyzes were performed for each environment individually and, by commonality, three factors were established for each environment. The factors were interpreted as sensorial quality, sieve and vigor, in a similar way in the three environments. The interaction genotype by environment was maintained even after the summary of the variables in factorial complexes. The genotypes Catucaı´ Amarelo 24/137 and H419-3- 3-7-16-4-1 excelled in relation to the factorial complexes, besides showing good adaptability and stability, consequently, they present great potential to improve the coffee production performance in the region of Matas de Minas. MenosResponsible for approximately 70% of the world?s coffee exports, Brazil is increasingly concerned about the quality of the coffees produced, given the growing demand for so-called specialty coffees. With this, the breeders need, besides the agronomic characteristics, to consider the physical and sensorial quality of the beans in the breeding programs. However, the greater the number of characteristics to be considered in the selection process, the higher the difficulty in selecting superior genotypes. In this context, multivariate analyzes can help to overcome this problem. In the light of the facts, the objective was to select Coffea arabica genotypes with a high simultaneous potential of variables of commercial interest, in three municipalities belonging to the Matas de Minas region?MG, Brazil, through factor analysis, using their scores as criteria or indices of selection for genotype identification. Multivariate analyzes were performed for each environment individually and, by commonality, three factors were established for each environment. The factors were interpreted as sensorial quality, sieve and vigor, in a similar way in the three environments. The interaction genotype by environment was maintained even after the summary of the variables in factorial complexes. The genotypes Catucaı´ Amarelo 24/137 and H419-3- 3-7-16-4-1 excelled in relation to the factorial complexes, besides showing good adaptability and stability, consequently, they present great potential... Mostrar Tudo |
|
Palavras-Chave: |
Adaptability and stability; Network of correlations; Sensorial quality. |
|
Thesaurus Nal: |
Ideotypes; Multivariate analysis. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/203063/1/Recomendation-of-Coffea-arabica-genotypes.pdf
|
|
Marc: |
LEADER 02240naa a2200229 a 4500
001 2113208
005 2019-10-17
008 2019 bl uuuu u00u1 u #d
100 1 $aBARBOSA, I. de P.
245 $aRecommendation of Coffea arabica genotypes by factor analysis.$h[electronic resource]
260 $c2019
520 $aResponsible for approximately 70% of the world?s coffee exports, Brazil is increasingly concerned about the quality of the coffees produced, given the growing demand for so-called specialty coffees. With this, the breeders need, besides the agronomic characteristics, to consider the physical and sensorial quality of the beans in the breeding programs. However, the greater the number of characteristics to be considered in the selection process, the higher the difficulty in selecting superior genotypes. In this context, multivariate analyzes can help to overcome this problem. In the light of the facts, the objective was to select Coffea arabica genotypes with a high simultaneous potential of variables of commercial interest, in three municipalities belonging to the Matas de Minas region?MG, Brazil, through factor analysis, using their scores as criteria or indices of selection for genotype identification. Multivariate analyzes were performed for each environment individually and, by commonality, three factors were established for each environment. The factors were interpreted as sensorial quality, sieve and vigor, in a similar way in the three environments. The interaction genotype by environment was maintained even after the summary of the variables in factorial complexes. The genotypes Catucaı´ Amarelo 24/137 and H419-3- 3-7-16-4-1 excelled in relation to the factorial complexes, besides showing good adaptability and stability, consequently, they present great potential to improve the coffee production performance in the region of Matas de Minas.
650 $aIdeotypes
650 $aMultivariate analysis
653 $aAdaptability and stability
653 $aNetwork of correlations
653 $aSensorial quality
700 1 $aCOSTA, W. G. da
700 1 $aNASCIMENTO, M.
700 1 $aCRUZ, C. D.
700 1 $aOLIVEIRA, A. C. B. de
773 $tEuphytica$gv. 215, n. 10, October 2019.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Café (CNPCa) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 7 | |
| 2. |  | CHAGAS, F. E. de O.; BARBOSA, I. de P.; LANA, M. E. G.; PEREIRA, V. V.; SUDÁRIO, A. F.; FERREIRA, P. H. S.; OLIVEIRA, A. C. B. de. Rede de correlação entre caracteres fenotípicos de cultivares de Coffea arabica. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz de Iguaçu. Melhoramento de plantas: projetando o futuro. Maringá, PR: SBMP, 2017.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
|    |
| 4. | | BARBOSA, I. de P.; OLIVEIRA, A. C. B. de; ROSADO, R. D. S.; SAKIYAMA, N. S.; CRUZ, C. D.; PEREIRA, A. A.; PEREIRA, A. A. Sensory quality of Coffea arabica L. genotypes influenced by postharvest processing. Crop Breeding and Applied Biotechnology, v. 19, n. 4, p. 428-435, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Café. |
|  |
| 5. | | LANA, M. E. G.; BARBOSA, I. de P.; PEREIRA, V. V.; SUDÁRIO, A. F.; CHAGAS, F. E. de O.; PEREIRA, A. A.; OLIVEIRA, A. C. B. de. Qualidade de bebida de cultivares de Coffeea arabica em função do processamento pós-colheita. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz de Iguaçu. Melhoramento de plantas: projetando o futuro. Maringá, PR: SBMP, 2017. p. 570| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
| |
| 6. | | BARBOSA, I. de P.; LANA, M. E. G.; OLIVEIRA, D. R. de; FERREIRA, P. H. S.; FERRAZ, A. G.; OLIVEIRA, A. C. B. de; PEREIRA, A. A. Qualidade de bebida de cultivares de Coffeea arabica na região das matas de minas. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz de Iguaçu. Melhoramento de plantas: projetando o futuro. Maringá, PR: SBMP, 2017. p. 571| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
| |
| 7. | | COSTA, W. G. da; BARBOSA, I. de P.; SOUZA, J. E. de; CRUZ, C. D.; NASCIMENTO, M.; OLIVEIRA, A. C. B. de. Machine learning and statistics to qualify environments through multi-traits in Coffea arabica. PLoS One, v. 16, n. 1, : e0245298, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Café. |
| |
| Registros recuperados : 7 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
