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Registro Completo |
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Biblioteca(s): |
Embrapa Rondônia. |
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Data corrente: |
15/03/2023 |
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Data da última atualização: |
15/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, G. N.; BARROSO, L. M. A.; CRUZ, C. D.; ROCHA, R. B.; FERREIRA, F. M. |
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Afiliação: |
GABI NUNES SILVA, FUNDAÇÃO UNIVERSIDADE FEDERAL DE RONDÔNIA; LAÍS MAYARA AZEVEDO BARROSO, FUNDAÇÃO UNIVERSIDADE FEDERAL DE RONDÔNIA; COSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO BARROS ROCHA, CPAF-RO; FÁBIO MEDEIROS FERREIRA, INSTITUTO DE CIÊNCIAS EXATAS E TECNOLOGIA DA UNIVERSIDADE FEDERAL DO AMAZONAS. |
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Título: |
Factor analysis for plant and production variables in Coffea canephora in the Western Amazon. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Coffee Science, v. 17, e171981, 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
The evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The inter- pretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of hulled coffee. MenosThe evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The inter- pretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of ... Mostrar Tudo |
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Palavras-Chave: |
Conilon; Intervarietal hybrids; Multivariate analyzes; Robusta. |
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Thesaurus Nal: |
Coffee beans. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152373/1/3-Silva-Coffee-Science-2022.pdf
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Marc: |
LEADER 02166naa a2200229 a 4500
001 2152373
005 2023-03-15
008 2022 bl uuuu u00u1 u #d
100 1 $aSILVA, G. N.
245 $aFactor analysis for plant and production variables in Coffea canephora in the Western Amazon.$h[electronic resource]
260 $c2022
520 $aThe evaluation of morphological characters related to the hulled coffee yield subsidizes the selection of Coffea canephora plants that combine a set of favorable traits. However, the greater the number of traits considered, the more difficult the selection process becomes. In this context, multivariate analyzes can be useful to overcome this problem. The aim of this study was to identify, in a set of agronomic traits of Coffea canephora, the determining factors of biological phenomena and use these factors to recognize patterns of diversity and similarity from biological complexes of interest to the breeder. To this, eleven morphological descriptors were evaluated of 130 clones of the botanical varieties Conilon and Robusta and intervarietal hybrids over two crop years in the experimental field of Embrapa, in the municipality of Ouro Preto do Oeste, state of Rondônia (RO). To group the traits, the multivariate technique of Factor Analysis was used. The effect of genotype x year interaction was significant for the eleven traits analyzed. Based on the scree plot, three factors were established. Factors were interpreted as architecture, vigor and grains with a satisfactory percentage of explained variability. The inter- pretation of the factors highlighted the importance of the Conilon variety to improve the architecture of the Robusta botanical variety. These results show that it is possible to use factor scores to identify varieties and traits that favor higher production of hulled coffee.
650 $aCoffee beans
653 $aConilon
653 $aIntervarietal hybrids
653 $aMultivariate analyzes
653 $aRobusta
700 1 $aBARROSO, L. M. A.
700 1 $aCRUZ, C. D.
700 1 $aROCHA, R. B.
700 1 $aFERREIRA, F. M.
773 $tCoffee Science$gv. 17, e171981, 2022.
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Embrapa Rondônia (CPAF-RO) |
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