Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/3648 |
Resumo: | Two experiments were conducted in the experimental area of the Universidade Federal de Goiás for assessing the genetic divergence among 21 genotypes of turmeric cultivation in two years (EI) and 33 genotypes in cultivation of one year (EII) based on multivariate analyses, order to select divergent genotypes and find out the Mara Rosa producers use the same genotype. The accessions came from Goiás, Minas Gerais and São Paulo. The experiments were conducted in the 2001/2003 period (EI) and 2003/2004 (EII) using a randomized block design with four replications. The assessment of EI was based on production descriptors as total wet weight of rhizomes, dry weight and content of curcumin. The assessment of EII was based on shoot descriptors as tiller number, leaf number, leaf area, height and also production descriptors. Data were subjected to analysis of variance and means were compared by the Scott-Knott test at 1% and 5% probability. We used the Mahalanobis distance as the dissimilarity measure, and for groups delineation the method of Tocher. All analyzes were performed using the program GENES. In the analyzes it can be concluded that Mara Rosa farmers did not use the same genotype and there is variability in the selection of genotypes. The evaluated characteristics are strongly correlated, which justifies the use of measures of dissimilarities using the Mahalanobis distance. Multivariate techniques were effective for the study of genetic diversity and separated the accessions into groups. Methods of estimation of genetic diversity in turmeric accessions were equivalent. Curcumin content and dry weight were descriptors that contributed to divergence in EI. In EII were plants number and tillers number. It was found the increase in curcumin levels of after two years of cultivation. By Mahalanobis distances could be indicated the five most productive genotypes for breeding program and divergence genetic analysis showed the genotypes more indicated for hybridizations. |
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Sibov, Sérgio Tadeuhttp://lattes.cnpq.br/4627553641870284Sibov, Sérgio TadeuMelo, Patrícia Guimarães SantosPinheiro, José Baldinhttp://lattes.cnpq.br/5121453108894090Cintra, Maria Mônica Domingues Franco2014-11-19T18:43:06Z2005-05-20CINTRA, Maria Mônica Domingues Franco. Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos. 2005. 87 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2005.http://repositorio.bc.ufg.br/tede/handle/tede/3648ark:/38995/001300000ccg7Two experiments were conducted in the experimental area of the Universidade Federal de Goiás for assessing the genetic divergence among 21 genotypes of turmeric cultivation in two years (EI) and 33 genotypes in cultivation of one year (EII) based on multivariate analyses, order to select divergent genotypes and find out the Mara Rosa producers use the same genotype. The accessions came from Goiás, Minas Gerais and São Paulo. The experiments were conducted in the 2001/2003 period (EI) and 2003/2004 (EII) using a randomized block design with four replications. The assessment of EI was based on production descriptors as total wet weight of rhizomes, dry weight and content of curcumin. The assessment of EII was based on shoot descriptors as tiller number, leaf number, leaf area, height and also production descriptors. Data were subjected to analysis of variance and means were compared by the Scott-Knott test at 1% and 5% probability. We used the Mahalanobis distance as the dissimilarity measure, and for groups delineation the method of Tocher. All analyzes were performed using the program GENES. In the analyzes it can be concluded that Mara Rosa farmers did not use the same genotype and there is variability in the selection of genotypes. The evaluated characteristics are strongly correlated, which justifies the use of measures of dissimilarities using the Mahalanobis distance. Multivariate techniques were effective for the study of genetic diversity and separated the accessions into groups. Methods of estimation of genetic diversity in turmeric accessions were equivalent. Curcumin content and dry weight were descriptors that contributed to divergence in EI. In EII were plants number and tillers number. It was found the increase in curcumin levels of after two years of cultivation. By Mahalanobis distances could be indicated the five most productive genotypes for breeding program and divergence genetic analysis showed the genotypes more indicated for hybridizations.Conduziu-se dois experimentos na área experimental da Universidade Federal de Goiás para a avaliação da divergência genética entre 21 genótipos de açafrão em cultivo de dois anos (EI) e de 33 genótipos em cultivo de um ano (EII) com base em procedimentos multivariados, visando selecionar genótipos divergentes e mais produtivos e definir se os produtores de Mara Rosa utilizam um mesmo genótipo. Os acessos são de Goiás, Minas Gerais e São Paulo. Os experimentos foram conduzidos no período de 2001/2003 (EI) e 2003/2004 (EII) utilizando delineamento de blocos ao acaso com quatro repetições. A avaliação de EI foi baseada em descritores agronômicos relacionados à produção como: peso fresco total dos rizomas, peso seco, teor de curcumina, entre outros. A avaliação de EII foi baseada em descritores da parte aérea ( número de perfilhos, número de folhas, área foliar, altura média, entre outros) e também nos descritores de produção. Dados obtidos foram submetidos à análise de variância e as médias comparadas pelo teste de Scott-Knott a 1% e 5% de probabilidade. Utilizou-se a distância generalizada de Mahalanobis como medida de dissimilaridade e, na delimitação dos grupos, o método de otimização de Tocher. Todas as análises foram realizadas utilizando o Programa GENES. Nas análises pode-se concluir que agricultores de Mara Rosa não utilizam um mesmo genótipo e há variabilidade para a seleção de genótipos. As características avaliadas são fortemente correlacionadas, o que justifica o uso das medidas de dissimilaridades usando a distância de Mahalanobis. Técnicas multivariadas foram eficientes para o estudo da divergência genética e permitiram a separação dos acessos em grupos. Métodos de estimação da divergência genética em acessos de açafrão, através das distâncias generalizadas de Mahalanobis ou das variáveis canônicas foram equivalentes. Teor de curcumina e peso seco foram os descritores que mais contribuíram para a divergência genética em EI. Em EII foram número de plantas e número de perfilhos. Constatou-se o incremento no teor de curcumina após dois anos de cultivo. Pelas médias e distâncias de Mahalanobis pôde-se indicar os cinco genótipos mais produtivos para o programa de melhoramento e resultados da análise de divergência mostraram os genótipos mais indicados para futuras hibridizações.Submitted by Erika Demachki (erikademachki@gmail.com) on 2014-11-19T18:42:25Z No. of bitstreams: 2 Dissertação - Maria Mônica Domingues Franco Cintra - 2005.pdf: 1037835 bytes, checksum: 80236bdcbef3b93f40c18480bbef4a73 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Approved for entry into archive by Erika Demachki (erikademachki@gmail.com) on 2014-11-19T18:43:06Z (GMT) No. of bitstreams: 2 Dissertação - Maria Mônica Domingues Franco Cintra - 2005.pdf: 1037835 bytes, checksum: 80236bdcbef3b93f40c18480bbef4a73 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2014-11-19T18:43:06Z (GMT). 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dc.title.por.fl_str_mv |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos |
dc.title.alternative.eng.fl_str_mv |
Genetic divergence among genotypes of turmeric (Curcuma longa L.) using morphological and agronomic characters |
title |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos |
spellingShingle |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos Cintra, Maria Mônica Domingues Franco Plantas medicinais Análise multivariada Distância de Mahalanobis Medicinal plants Multivariate analysis Mahalanobis distance FITOTECNIA::MELHORAMENTO VEGETAL |
title_short |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos |
title_full |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos |
title_fullStr |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos |
title_full_unstemmed |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos |
title_sort |
Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos |
author |
Cintra, Maria Mônica Domingues Franco |
author_facet |
Cintra, Maria Mônica Domingues Franco |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Sibov, Sérgio Tadeu |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/4627553641870284 |
dc.contributor.referee1.fl_str_mv |
Sibov, Sérgio Tadeu |
dc.contributor.referee2.fl_str_mv |
Melo, Patrícia Guimarães Santos |
dc.contributor.referee3.fl_str_mv |
Pinheiro, José Baldin |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5121453108894090 |
dc.contributor.author.fl_str_mv |
Cintra, Maria Mônica Domingues Franco |
contributor_str_mv |
Sibov, Sérgio Tadeu Sibov, Sérgio Tadeu Melo, Patrícia Guimarães Santos Pinheiro, José Baldin |
dc.subject.por.fl_str_mv |
Plantas medicinais Análise multivariada Distância de Mahalanobis |
topic |
Plantas medicinais Análise multivariada Distância de Mahalanobis Medicinal plants Multivariate analysis Mahalanobis distance FITOTECNIA::MELHORAMENTO VEGETAL |
dc.subject.eng.fl_str_mv |
Medicinal plants Multivariate analysis Mahalanobis distance |
dc.subject.cnpq.fl_str_mv |
FITOTECNIA::MELHORAMENTO VEGETAL |
description |
Two experiments were conducted in the experimental area of the Universidade Federal de Goiás for assessing the genetic divergence among 21 genotypes of turmeric cultivation in two years (EI) and 33 genotypes in cultivation of one year (EII) based on multivariate analyses, order to select divergent genotypes and find out the Mara Rosa producers use the same genotype. The accessions came from Goiás, Minas Gerais and São Paulo. The experiments were conducted in the 2001/2003 period (EI) and 2003/2004 (EII) using a randomized block design with four replications. The assessment of EI was based on production descriptors as total wet weight of rhizomes, dry weight and content of curcumin. The assessment of EII was based on shoot descriptors as tiller number, leaf number, leaf area, height and also production descriptors. Data were subjected to analysis of variance and means were compared by the Scott-Knott test at 1% and 5% probability. We used the Mahalanobis distance as the dissimilarity measure, and for groups delineation the method of Tocher. All analyzes were performed using the program GENES. In the analyzes it can be concluded that Mara Rosa farmers did not use the same genotype and there is variability in the selection of genotypes. The evaluated characteristics are strongly correlated, which justifies the use of measures of dissimilarities using the Mahalanobis distance. Multivariate techniques were effective for the study of genetic diversity and separated the accessions into groups. Methods of estimation of genetic diversity in turmeric accessions were equivalent. Curcumin content and dry weight were descriptors that contributed to divergence in EI. In EII were plants number and tillers number. It was found the increase in curcumin levels of after two years of cultivation. By Mahalanobis distances could be indicated the five most productive genotypes for breeding program and divergence genetic analysis showed the genotypes more indicated for hybridizations. |
publishDate |
2005 |
dc.date.issued.fl_str_mv |
2005-05-20 |
dc.date.accessioned.fl_str_mv |
2014-11-19T18:43:06Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
CINTRA, Maria Mônica Domingues Franco. Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos. 2005. 87 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2005. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/3648 |
dc.identifier.dark.fl_str_mv |
ark:/38995/001300000ccg7 |
identifier_str_mv |
CINTRA, Maria Mônica Domingues Franco. Divergência genética entre acessos de açafrão (Curcuma longa L.) utilizando caracteres morfoagronômicos. 2005. 87 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2005. ark:/38995/001300000ccg7 |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/3648 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
842119561133988381 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 |
dc.relation.department.fl_str_mv |
4500684695727928426 |
dc.relation.cnpq.fl_str_mv |
2615607299470131967 |
dc.relation.sponsorship.fl_str_mv |
2075167498588264571 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Agronomia (EAEA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia e Engenharia de Alimentos - EAEA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
http://repositorio.bc.ufg.br/tede/bitstreams/1f30eb28-caef-4fa6-862f-cfbc8ce5e9aa/download http://repositorio.bc.ufg.br/tede/bitstreams/33fec6f1-97f2-48da-8035-53316feaaf2f/download http://repositorio.bc.ufg.br/tede/bitstreams/fc813b9d-b660-4651-85cf-288b0abf07a4/download http://repositorio.bc.ufg.br/tede/bitstreams/16b0a9a0-ffe9-438d-8d51-b07ffaa6270a/download http://repositorio.bc.ufg.br/tede/bitstreams/af113747-db30-482a-89f4-6e710c4deca8/download http://repositorio.bc.ufg.br/tede/bitstreams/e5cca5b2-f46c-457a-945b-76261a7e13d0/download http://repositorio.bc.ufg.br/tede/bitstreams/23ff8aef-996e-4177-ab9e-3399eb839625/download |
bitstream.checksum.fl_str_mv |
bd3efa91386c1718a7f26a329fdcb468 4afdbb8c545fd630ea7db775da747b2f 1e0094e9d8adcf16b18effef4ce7ed83 9da0b6dfac957114c6a7714714b86306 80236bdcbef3b93f40c18480bbef4a73 a8f0dc1a0b26ff60ae5f8b1bf9cafd57 c4715912a635b5fbde63d2a9b070733f |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1811721498927300608 |