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Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers
Vieira, Eduardo Alano; Carvalho, Fernando Irajá Félix de; Bertan, Ivandro; Kopp, Mauricio Marini; Zimmer, Paulo Dejalma; Benin, Giovani; Silva, José Antônio Gonzalez da; Hartwig, Irineu; Malone, Gaspar; Oliveira, Antônio Costa de.
  • Vieira, Eduardo Alano; Embrapa Cerrados. Empresa Brasileira de Pesquisa Agropecuária. Planaltina. BR
  • Carvalho, Fernando Irajá Félix de; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
  • Bertan, Ivandro; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
  • Kopp, Mauricio Marini; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
  • Zimmer, Paulo Dejalma; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
  • Benin, Giovani; Universidade Tecnológica Federal do Paraná. Faculdade de Agronomia. Pato Branco. BR
  • Silva, José Antônio Gonzalez da; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
  • Hartwig, Irineu; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
  • Malone, Gaspar; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
  • Oliveira, Antônio Costa de; Universidade Federal de Pelotas. Faculdade de Agronomia Eliseu Maciel. Pelotas. BR
Genet. mol. biol ; 30(2): 392-399, Mar. 2007. tab
Article in English | LILACS | ID: lil-452817
ABSTRACT
Molecular and morphological data analyses matrices are very informative tools for the estimation of genetic distances. We used AFLP markers, morphological traits and combined analysis to estimate the genetic distances between wheat genotypes and ascertain any associations between the two techneques. Nineteen wheat (Triticum aestivum L.) genotypes were analyzed using amplified fragment length polymorphism (AFLP) markers and field evaluated for two years. The matrices obtained by morphological and molecular marker data analyses revealed a significant but moderate correlation (r = 0.47), indicating that such techniques sample distinct genome regions. The combined analysis was found to be highly correlated with AFLP (r = 0.97) and moderately correlated with morphological (r = 0.59) markers. A possible explanation for such results is a bias caused by the much higher number of AFLP (229) than morphological (17) markers. Thus, it is evident that the combined analysis is not efficient when a very dissimilar number of markers are used in each isolated technique. Therefore, to obtain a better knowledge of the degree of divergence among genotypes it is necessary to consider each analysis separately.
Full text: Available Index: LILACS (Americas) Type of study: Risk factors Language: English Journal: Genet. mol. biol Journal subject: Genetics Year: 2007 Type: Article Affiliation country: Brazil Institution/Affiliation country: Embrapa Cerrados/BR / Universidade Federal de Pelotas/BR / Universidade Tecnológica Federal do Paraná/BR

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Full text: Available Index: LILACS (Americas) Type of study: Risk factors Language: English Journal: Genet. mol. biol Journal subject: Genetics Year: 2007 Type: Article Affiliation country: Brazil Institution/Affiliation country: Embrapa Cerrados/BR / Universidade Federal de Pelotas/BR / Universidade Tecnológica Federal do Paraná/BR