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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
25/11/2011 |
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Data da última atualização: |
26/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MACHADO, C. de F.; SOUZA, F. V. D.; LEDO, C. A. da S.; CABRAL, J. R. S. |
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Afiliação: |
CRISTINA DE FATIMA MACHADO, CNPMF; FERNANDA VIDIGAL DUARTE SOUZA, CNPMF; CARLOS ALBERTO DA SILVA LEDO, CNPMF; J. R. S. CABRAL. |
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Título: |
Cluster analysis using quantitative, qualitative and molecular traits for the study of the genetic diversity in pineapple genotypes. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Acta Horticulturae, Leuven, v. 902, p. 159-162, 2011. |
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ISSN: |
0567-7572 |
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Idioma: |
Inglês |
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Conteúdo: |
Cluster analysis using quantitative, qualitative and molecular variables is a useful tool in estimating genetic diversity between genotypes in germplasm collections. The objective of this study was to carry out a simultaneous analysis of quantitative, qualitative and molecular variables followed by clustering to study the genetic diversity between pineapple genotypes using the Gower algorithm. Eleven quantitative, five qualitative and forty three molecular characteristics in ninety pineapple genotypes were evaluated. The cophenetic correlation coefficient of the joint analysis was higher when compared with the individual analysis coefficients. Ten groups were observed which indicates higher variability among genotypes evaluated. The simultaneous analysis of the quantitative, qualitative and molecular variables was efficient in the expression of the genetic diversity between pineapple genotypes when compared to the individual analysis for each type of variable. |
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Palavras-Chave: |
Ananas spp; Gower algorithm. |
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Thesaurus Nal: |
genetic distance; multivariate analysis; variability. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 01693naa a2200229 a 4500
001 1907355
005 2023-05-26
008 2011 bl uuuu u00u1 u #d
022 $a0567-7572
100 1 $aMACHADO, C. de F.
245 $aCluster analysis using quantitative, qualitative and molecular traits for the study of the genetic diversity in pineapple genotypes.$h[electronic resource]
260 $c2011
520 $aCluster analysis using quantitative, qualitative and molecular variables is a useful tool in estimating genetic diversity between genotypes in germplasm collections. The objective of this study was to carry out a simultaneous analysis of quantitative, qualitative and molecular variables followed by clustering to study the genetic diversity between pineapple genotypes using the Gower algorithm. Eleven quantitative, five qualitative and forty three molecular characteristics in ninety pineapple genotypes were evaluated. The cophenetic correlation coefficient of the joint analysis was higher when compared with the individual analysis coefficients. Ten groups were observed which indicates higher variability among genotypes evaluated. The simultaneous analysis of the quantitative, qualitative and molecular variables was efficient in the expression of the genetic diversity between pineapple genotypes when compared to the individual analysis for each type of variable.
650 $agenetic distance
650 $amultivariate analysis
650 $avariability
653 $aAnanas spp
653 $aGower algorithm
700 1 $aSOUZA, F. V. D.
700 1 $aLEDO, C. A. da S.
700 1 $aCABRAL, J. R. S.
773 $tActa Horticulturae, Leuven$gv. 902, p. 159-162, 2011.
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