Caracterização de acessos de bananeira

Detalhes bibliográficos
Autor(a) principal: Mattos, Lorenna Alves Mattos
Data de Publicação: 2009
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UEFS
Texto Completo: http://tede2.uefs.br:8080/handle/tede/1259
Resumo: The banana genetic breeding program, initiated at Embrapa Cassava and Tropical Fruits in 1983, is mainly focused on the improvement of diploids and further crosses of these diploids with AAB Prata and Silk type triploids, generating AAAB tetraploids. The main objective is to develop varieties resistant to pests and nematodes that are productive, with reduced height and crop cycle, maintaining the Prata and Silk fruit flavors. Throughout it´s 26 years, the banana genetic breeding program has recommended the following cultivars: Caipira, Thap Maeo, FHIA 18, Prata Graúda, Prata Baby (Nam), Pacovan Ken, Japira, Vitória, Preciosa, Tropical, Maravilha, Caprichosa, Garantida and Princesa. The characterization and evaluation of banana genotypes, by selecting the main productive and most resistant to pests, are the main steps to the genetic breeding program, and constitutes a significant solution for increases in yield and fruit quality. In order for a breeding program to be successful, there has to be enough genetic variability regarding the traits of interest. Therefore, agronomical as well as the fruit physical and chemical characteristics associated to the use of modern molecular tools, provides useful information for plant breeders. This work was carried out at the experimental field, Plant Physiology Laboratory and Molecular Biology Laboratory of the Embrapa Cassava and Tropical Fruits, aiming to characterize 26 banana accessions regarding 12 agronomical, 14 fruit physical and chemical characteristics and using 13 SSR markers. This work was subdivided into three chapters: the objective of the first chapter was to characterize the accessions regarding their agronomical and fruit physical and chemical characteristics; the second one was to try to associate the fruit physical and chemical characterization with SSR markers and the third one combined agronomical and fruit physical and chemical characteristics and molecular data in order to obtain genetic diversity information between the accessions using the Gower algorithm. The results suggest a broad genetic variability for all the agronomic and fruti physical and chemical characteristics among the 26 banana accessions. Furthermore, the SSR markers were efficient in quantifying the genetic variability available between these accessions. The Gower algorithm combined the agronomic and molecular data being a powerful tool for the quantification of banana genetic variability.
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spelling Silva, Sebastião de Oliveira e1669889467201108273505http://lattes.cnpq.br/9004987324482493Mattos, Lorenna Alves Mattos2021-07-06T23:35:00Z2009-08-24MATTOS, Lorenna Alves. Caracterização de acessos de bananeira. 2009. 86 f. Dissertação (Mestrado Acadêmico em Recursos Genéticos Vegetais)- Universidade Estadual de Feira de Santana, Feira de Santana, 2009.http://tede2.uefs.br:8080/handle/tede/1259The banana genetic breeding program, initiated at Embrapa Cassava and Tropical Fruits in 1983, is mainly focused on the improvement of diploids and further crosses of these diploids with AAB Prata and Silk type triploids, generating AAAB tetraploids. The main objective is to develop varieties resistant to pests and nematodes that are productive, with reduced height and crop cycle, maintaining the Prata and Silk fruit flavors. Throughout it´s 26 years, the banana genetic breeding program has recommended the following cultivars: Caipira, Thap Maeo, FHIA 18, Prata Graúda, Prata Baby (Nam), Pacovan Ken, Japira, Vitória, Preciosa, Tropical, Maravilha, Caprichosa, Garantida and Princesa. The characterization and evaluation of banana genotypes, by selecting the main productive and most resistant to pests, are the main steps to the genetic breeding program, and constitutes a significant solution for increases in yield and fruit quality. In order for a breeding program to be successful, there has to be enough genetic variability regarding the traits of interest. Therefore, agronomical as well as the fruit physical and chemical characteristics associated to the use of modern molecular tools, provides useful information for plant breeders. This work was carried out at the experimental field, Plant Physiology Laboratory and Molecular Biology Laboratory of the Embrapa Cassava and Tropical Fruits, aiming to characterize 26 banana accessions regarding 12 agronomical, 14 fruit physical and chemical characteristics and using 13 SSR markers. This work was subdivided into three chapters: the objective of the first chapter was to characterize the accessions regarding their agronomical and fruit physical and chemical characteristics; the second one was to try to associate the fruit physical and chemical characterization with SSR markers and the third one combined agronomical and fruit physical and chemical characteristics and molecular data in order to obtain genetic diversity information between the accessions using the Gower algorithm. The results suggest a broad genetic variability for all the agronomic and fruti physical and chemical characteristics among the 26 banana accessions. Furthermore, the SSR markers were efficient in quantifying the genetic variability available between these accessions. The Gower algorithm combined the agronomic and molecular data being a powerful tool for the quantification of banana genetic variability.O melhoramento genético de bananeira baseia-se principalmente no melhoramento de diplóides (AA), e posterior cruzamento destes com triplóides AAB do tipo Prata e Maçã gerando tetraplóides AAAB. Tem como objetivo desenvolver variedades resistentes a pragas e nematóides, produtivas, com reduzidos porte de planta e ciclo da cultura, mantendo o sabor Prata e Maçã dos frutos. Ao longo dos seus 26 anos, o programa de melhoramento genético da bananeira recomendou as cultivares Caipira, Thap Maeo, FHIA 18, Prata Graúda, Prata Baby (Nam), Pacovan Ken, Japira, Vitória, Preciosa, Tropical, Maravilha, Caprichosa, Garantida e Princesa. A caracterização e avaliação de genótipos de bananeira, com posterior seleção dos mais produtivos e resistentes às pragas, são etapas essenciais ao programa de melhoramento genético e constituem-se numa solução significativa para incrementos em produtividade e qualidade nos sistemas de produção. Para o sucesso de um programa de melhoramento, a existência de variabilidade genética para os caracteres de interesse é fundamental. Desta forma, a caracterização agronômica, física e química dos frutos, associada ao uso de modernas ferramentas moleculares pode disponibilizar informações úteis para o melhorista de plantas. Este trabalho foi desenvolvido na área experimental e nos Laboratórios de Fisiologia Vegetal e Virologia e Biologia Molecular da Embrapa Mandioca e Fruticultura Tropical, com o objetivo de caracterizar 26 acessos de bananeira em relação a doze características agronômicas, quatorze físicas e químicas dos frutos e treze marcadores moleculares SSR. A estrutura do trabalho foi subdividida em três capítulos: o primeiro teve como objetivo caracterizar por meio de dados agronômicos e físicos e químicos dos frutos de acessos de bananeira; o segundo buscou associar a caracterização física e química com marcadores SSR e o terceiro capítulo combinou dados agronômicos, físicos, químicos de frutos e moleculares com o intuito de obter informações sobre a diversidade genética entre os acessos, por meio do algoritmo de Gower. Os resultados sugerem ampla variabilidade genética para todas as características agronômicas e físicas e químicas de frutos entre os 26 acessos de bananeira. Além disso, os marcadores SSR foram eficientes para quantificar a variabilidade genética disponível entre estes acessos. O algoritmo de Gower permitiu a combinação de dados agronômicos e moleculares e mostrou-se uma ferramenta poderosa para a quantificação da variabilidade genética em bananeira.Submitted by Bruno Matos Nascimento (brunomatos@uefs.br) on 2021-07-06T23:35:00Z No. of bitstreams: 1 DISSERTAÇÃO Lorenna.pdf: 611777 bytes, checksum: 0e7da19a016b68d66775959359588f6a (MD5)Made available in DSpace on 2021-07-06T23:35:00Z (GMT). No. of bitstreams: 1 DISSERTAÇÃO Lorenna.pdf: 611777 bytes, checksum: 0e7da19a016b68d66775959359588f6a (MD5) Previous issue date: 2009-08-24Fundação de Amparo à Pesquisa do Estado da Bahia - FAPEBapplication/pdfporUniversidade Estadual de Feira de SantanaMestrado Acadêmico em Recursos Genéticos VegetaisUEFSBrasilDEPARTAMENTO DE CIÊNCIAS BIOLÓGICASMusa spp.Melhoramento de bananeiraCaracterização agronômica e molecularImprovement of bananaMolecular and agronomical characteristicsCIENCIAS AGRARIASCIENCIAS BIOLOGICASCaracterização de acessos de bananeirainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis814664648162224187460060060060060050261233834505892827828424726906663919-3439178843068202161-8233071094704392586info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UEFSinstname:Universidade Estadual de Feira de Santana (UEFS)instacron:UEFSORIGINALDISSERTAÇÃO Lorenna.pdfDISSERTAÇÃO Lorenna.pdfapplication/pdf611777http://tede2.uefs.br:8080/bitstream/tede/1259/2/DISSERTA%C3%87%C3%83O+Lorenna.pdf0e7da19a016b68d66775959359588f6aMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82089http://tede2.uefs.br:8080/bitstream/tede/1259/1/license.txt7b5ba3d2445355f386edab96125d42b7MD51tede/12592023-01-27 10:08:47.547oai:tede2.uefs.br:8080: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede2.uefs.br:8080/PUBhttp://tede2.uefs.br:8080/oai/requestbcuefs@uefs.br|| bcref@uefs.br||bcuefs@uefs.bropendoar:2023-01-27T13:08:47Biblioteca Digital de Teses e Dissertações da UEFS - Universidade Estadual de Feira de Santana (UEFS)false
dc.title.por.fl_str_mv Caracterização de acessos de bananeira
title Caracterização de acessos de bananeira
spellingShingle Caracterização de acessos de bananeira
Mattos, Lorenna Alves Mattos
Musa spp.
Melhoramento de bananeira
Caracterização agronômica e molecular
Improvement of banana
Molecular and agronomical characteristics
CIENCIAS AGRARIAS
CIENCIAS BIOLOGICAS
title_short Caracterização de acessos de bananeira
title_full Caracterização de acessos de bananeira
title_fullStr Caracterização de acessos de bananeira
title_full_unstemmed Caracterização de acessos de bananeira
title_sort Caracterização de acessos de bananeira
author Mattos, Lorenna Alves Mattos
author_facet Mattos, Lorenna Alves Mattos
author_role author
dc.contributor.advisor1.fl_str_mv Silva, Sebastião de Oliveira e
dc.contributor.advisor1ID.fl_str_mv 16698894672
dc.contributor.authorID.fl_str_mv 01108273505
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9004987324482493
dc.contributor.author.fl_str_mv Mattos, Lorenna Alves Mattos
contributor_str_mv Silva, Sebastião de Oliveira e
dc.subject.por.fl_str_mv Musa spp.
Melhoramento de bananeira
Caracterização agronômica e molecular
topic Musa spp.
Melhoramento de bananeira
Caracterização agronômica e molecular
Improvement of banana
Molecular and agronomical characteristics
CIENCIAS AGRARIAS
CIENCIAS BIOLOGICAS
dc.subject.eng.fl_str_mv Improvement of banana
Molecular and agronomical characteristics
dc.subject.cnpq.fl_str_mv CIENCIAS AGRARIAS
CIENCIAS BIOLOGICAS
description The banana genetic breeding program, initiated at Embrapa Cassava and Tropical Fruits in 1983, is mainly focused on the improvement of diploids and further crosses of these diploids with AAB Prata and Silk type triploids, generating AAAB tetraploids. The main objective is to develop varieties resistant to pests and nematodes that are productive, with reduced height and crop cycle, maintaining the Prata and Silk fruit flavors. Throughout it´s 26 years, the banana genetic breeding program has recommended the following cultivars: Caipira, Thap Maeo, FHIA 18, Prata Graúda, Prata Baby (Nam), Pacovan Ken, Japira, Vitória, Preciosa, Tropical, Maravilha, Caprichosa, Garantida and Princesa. The characterization and evaluation of banana genotypes, by selecting the main productive and most resistant to pests, are the main steps to the genetic breeding program, and constitutes a significant solution for increases in yield and fruit quality. In order for a breeding program to be successful, there has to be enough genetic variability regarding the traits of interest. Therefore, agronomical as well as the fruit physical and chemical characteristics associated to the use of modern molecular tools, provides useful information for plant breeders. This work was carried out at the experimental field, Plant Physiology Laboratory and Molecular Biology Laboratory of the Embrapa Cassava and Tropical Fruits, aiming to characterize 26 banana accessions regarding 12 agronomical, 14 fruit physical and chemical characteristics and using 13 SSR markers. This work was subdivided into three chapters: the objective of the first chapter was to characterize the accessions regarding their agronomical and fruit physical and chemical characteristics; the second one was to try to associate the fruit physical and chemical characterization with SSR markers and the third one combined agronomical and fruit physical and chemical characteristics and molecular data in order to obtain genetic diversity information between the accessions using the Gower algorithm. The results suggest a broad genetic variability for all the agronomic and fruti physical and chemical characteristics among the 26 banana accessions. Furthermore, the SSR markers were efficient in quantifying the genetic variability available between these accessions. The Gower algorithm combined the agronomic and molecular data being a powerful tool for the quantification of banana genetic variability.
publishDate 2009
dc.date.issued.fl_str_mv 2009-08-24
dc.date.accessioned.fl_str_mv 2021-07-06T23:35:00Z
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dc.identifier.citation.fl_str_mv MATTOS, Lorenna Alves. Caracterização de acessos de bananeira. 2009. 86 f. Dissertação (Mestrado Acadêmico em Recursos Genéticos Vegetais)- Universidade Estadual de Feira de Santana, Feira de Santana, 2009.
dc.identifier.uri.fl_str_mv http://tede2.uefs.br:8080/handle/tede/1259
identifier_str_mv MATTOS, Lorenna Alves. Caracterização de acessos de bananeira. 2009. 86 f. Dissertação (Mestrado Acadêmico em Recursos Genéticos Vegetais)- Universidade Estadual de Feira de Santana, Feira de Santana, 2009.
url http://tede2.uefs.br:8080/handle/tede/1259
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dc.publisher.program.fl_str_mv Mestrado Acadêmico em Recursos Genéticos Vegetais
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dc.publisher.department.fl_str_mv DEPARTAMENTO DE CIÊNCIAS BIOLÓGICAS
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