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| Registros recuperados : 34 | |
| Registros recuperados : 34 | |
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
25/08/2022 |
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Data da última atualização: |
25/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SENRA, J. F. de B.; SILVA, J. A. da; FERRÃO, M. A. G.; ESPOSTI, M. D.; MILHEIROS, I. S.; FASSARELLA, K. M. |
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Afiliação: |
João Felipe de Brites Senra, Incaper; Josimar Aleixo da Silva, Incaper/Embrapa; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Marlon Dutra Degli Esposti, Incaper; Idalina Sturião Milheiros, Incaper; Kamila Machado Fassarella, Incaper. |
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Título: |
Genetic variability of conilon coffee population from cultivar 'ES8152' based on morphoagronomic variables. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Coffee Science, v. 17, e171986, 2022. |
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DOI: |
https://doi.org/10.25186/.v17i.1986 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to analyze the genetic variability of Coffea canephora population with 190 genotypes from cultivar ?ES8152?, based on morphoagronomic characteristics and vegetation index, to identify the most important characteristics for genetic divergence and compare them with commercial clones. The experiment was installed, in 2019, at the Bananal do Norte Experimental Farm/INCAPER, Cachoeiro de Itapemirim, ES, Brazil. The experiment was carried out in Federer?s augmented block design with three blocks, four common treatments (commercial clones A1, LB1, V8 and V12) and 190 regular treatments, genotypes from the seed production field of the conilon coffee cultivar ?ES8152?. At 24 months of age 14 morphoagronomic characteristics and vegetation index were evaluated. Descriptive analysis of the data, the estimation of the Standardized Euclidean Distance (ED) followed by the group-ing by the methods of Tocher, UPGMA and principal coordinates, in addition to the relative importance of the characters estimated by the Singh meth-odology were performed. The most distant genotypes were 62 and 83 (ED=2.620) and the closest were 42 and 160 (ED=0.208). Genotype 83 stood out as the most distant among the others. The optimization and hierarchical groupings allowed the identification of genotypes 15, 81, 107 and 184 as similar to commercial clones. The discard analysis of variables recommended the elimination of the vegetation index and average internode length of the next diversity analysis. Principal coordinate analysis found phenotypic similarity of the genotypes 30, 81, 115, 141 and 163 with the clone V12, of the genotype 119 with the clone A1 and genotype 17 with clone LB1. The study, of morphoagronomic characters, allowed to detection the genetic diversity existing in the materials evaluated, indicating those with phenotypic similarity with the commercial clones, being possible the early identification of promising genotypes, agronomically superior, to start a breeding program for clonal selection, recurrent selection and controlled crosses to maximize heterosis. MenosThis study aimed to analyze the genetic variability of Coffea canephora population with 190 genotypes from cultivar ?ES8152?, based on morphoagronomic characteristics and vegetation index, to identify the most important characteristics for genetic divergence and compare them with commercial clones. The experiment was installed, in 2019, at the Bananal do Norte Experimental Farm/INCAPER, Cachoeiro de Itapemirim, ES, Brazil. The experiment was carried out in Federer?s augmented block design with three blocks, four common treatments (commercial clones A1, LB1, V8 and V12) and 190 regular treatments, genotypes from the seed production field of the conilon coffee cultivar ?ES8152?. At 24 months of age 14 morphoagronomic characteristics and vegetation index were evaluated. Descriptive analysis of the data, the estimation of the Standardized Euclidean Distance (ED) followed by the group-ing by the methods of Tocher, UPGMA and principal coordinates, in addition to the relative importance of the characters estimated by the Singh meth-odology were performed. The most distant genotypes were 62 and 83 (ED=2.620) and the closest were 42 and 160 (ED=0.208). Genotype 83 stood out as the most distant among the others. The optimization and hierarchical groupings allowed the identification of genotypes 15, 81, 107 and 184 as similar to commercial clones. The discard analysis of variables recommended the elimination of the vegetation index and average internode length of the next diversity ana... Mostrar Tudo |
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Palavras-Chave: |
Café conilon; Clusters; Cultivar ES8152; Genetic diversity; Pre-breeding. |
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Thesagro: |
Café; Cafeicultura; Coffea Canephora. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/item/4217/1/cultivar-ES8152-senra.pdf
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Marc: |
LEADER 02944naa a2200289 a 4500
001 1024231
005 2022-08-25
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.25186/.v17i.1986$2DOI
100 1 $aSENRA, J. F. de B.
245 $aGenetic variability of conilon coffee population from cultivar 'ES8152' based on morphoagronomic variables.$h[electronic resource]
260 $c2022
520 $aThis study aimed to analyze the genetic variability of Coffea canephora population with 190 genotypes from cultivar ?ES8152?, based on morphoagronomic characteristics and vegetation index, to identify the most important characteristics for genetic divergence and compare them with commercial clones. The experiment was installed, in 2019, at the Bananal do Norte Experimental Farm/INCAPER, Cachoeiro de Itapemirim, ES, Brazil. The experiment was carried out in Federer?s augmented block design with three blocks, four common treatments (commercial clones A1, LB1, V8 and V12) and 190 regular treatments, genotypes from the seed production field of the conilon coffee cultivar ?ES8152?. At 24 months of age 14 morphoagronomic characteristics and vegetation index were evaluated. Descriptive analysis of the data, the estimation of the Standardized Euclidean Distance (ED) followed by the group-ing by the methods of Tocher, UPGMA and principal coordinates, in addition to the relative importance of the characters estimated by the Singh meth-odology were performed. The most distant genotypes were 62 and 83 (ED=2.620) and the closest were 42 and 160 (ED=0.208). Genotype 83 stood out as the most distant among the others. The optimization and hierarchical groupings allowed the identification of genotypes 15, 81, 107 and 184 as similar to commercial clones. The discard analysis of variables recommended the elimination of the vegetation index and average internode length of the next diversity analysis. Principal coordinate analysis found phenotypic similarity of the genotypes 30, 81, 115, 141 and 163 with the clone V12, of the genotype 119 with the clone A1 and genotype 17 with clone LB1. The study, of morphoagronomic characters, allowed to detection the genetic diversity existing in the materials evaluated, indicating those with phenotypic similarity with the commercial clones, being possible the early identification of promising genotypes, agronomically superior, to start a breeding program for clonal selection, recurrent selection and controlled crosses to maximize heterosis.
650 $aCafé
650 $aCafeicultura
650 $aCoffea Canephora
653 $aCafé conilon
653 $aClusters
653 $aCultivar ES8152
653 $aGenetic diversity
653 $aPre-breeding
700 1 $aSILVA, J. A. da
700 1 $aFERRÃO, M. A. G.
700 1 $aESPOSTI, M. D.
700 1 $aMILHEIROS, I. S.
700 1 $aFASSARELLA, K. M.
773 $tCoffee Science$gv. 17, e171986, 2022.
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Biblioteca Rui Tendinha (BRT) |
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