A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)

Detalhes bibliográficos
Autor(a) principal: Begum,Tamina
Data de Publicação: 2010
Outros Autores: Dasgupta,Tapash
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000400025
Resumo: Three sesame genotypes (Rama, SI 1666 and IC 21706) were treated with physical (γ-rays: 200 Gy, 400 Gy or 600 Gy) or chemical (ethyl methane sulphonate, EMS: 0.5%, 1.0%, 1.5% or 2.0%) mutagens and their mutagenic effectiveness and efficiency were estimated in the M2 generation. The M3 generation was used to identify the most effective mutagen and dose for induction of mutations. The average effectiveness of EMS was much higher than γ-rays. The lowest dose of γ-rays (200 Gy) and the lowest concentration of EMS (0.5%) showed the highest mutagenic efficiency in all genotypes. Analysis of the M3 generation data based on parameters such as the variance ratio and the difference in residual variances derived from the model of Montalván and Ando indicated that 0.5% concentration of EMS was the most effective treatment for inducing mutations.
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spelling A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)effectivenessefficiencymutagensquantitative characterssesameThree sesame genotypes (Rama, SI 1666 and IC 21706) were treated with physical (γ-rays: 200 Gy, 400 Gy or 600 Gy) or chemical (ethyl methane sulphonate, EMS: 0.5%, 1.0%, 1.5% or 2.0%) mutagens and their mutagenic effectiveness and efficiency were estimated in the M2 generation. The M3 generation was used to identify the most effective mutagen and dose for induction of mutations. The average effectiveness of EMS was much higher than γ-rays. The lowest dose of γ-rays (200 Gy) and the lowest concentration of EMS (0.5%) showed the highest mutagenic efficiency in all genotypes. Analysis of the M3 generation data based on parameters such as the variance ratio and the difference in residual variances derived from the model of Montalván and Ando indicated that 0.5% concentration of EMS was the most effective treatment for inducing mutations.Sociedade Brasileira de Genética2010-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000400025Genetics and Molecular Biology v.33 n.4 2010reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572010005000090info:eu-repo/semantics/openAccessBegum,TaminaDasgupta,Tapasheng2011-01-06T00:00:00Zoai:scielo:S1415-47572010000400025Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2011-01-06T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
title A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
spellingShingle A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
Begum,Tamina
effectiveness
efficiency
mutagens
quantitative characters
sesame
title_short A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
title_full A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
title_fullStr A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
title_full_unstemmed A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
title_sort A comparison of the effects of physical and chemical mutagens in sesame (Sesamum indicum L.)
author Begum,Tamina
author_facet Begum,Tamina
Dasgupta,Tapash
author_role author
author2 Dasgupta,Tapash
author2_role author
dc.contributor.author.fl_str_mv Begum,Tamina
Dasgupta,Tapash
dc.subject.por.fl_str_mv effectiveness
efficiency
mutagens
quantitative characters
sesame
topic effectiveness
efficiency
mutagens
quantitative characters
sesame
description Three sesame genotypes (Rama, SI 1666 and IC 21706) were treated with physical (γ-rays: 200 Gy, 400 Gy or 600 Gy) or chemical (ethyl methane sulphonate, EMS: 0.5%, 1.0%, 1.5% or 2.0%) mutagens and their mutagenic effectiveness and efficiency were estimated in the M2 generation. The M3 generation was used to identify the most effective mutagen and dose for induction of mutations. The average effectiveness of EMS was much higher than γ-rays. The lowest dose of γ-rays (200 Gy) and the lowest concentration of EMS (0.5%) showed the highest mutagenic efficiency in all genotypes. Analysis of the M3 generation data based on parameters such as the variance ratio and the difference in residual variances derived from the model of Montalván and Ando indicated that 0.5% concentration of EMS was the most effective treatment for inducing mutations.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000400025
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000400025
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572010005000090
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.33 n.4 2010
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
instacron:SBG
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reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
repository.mail.fl_str_mv ||editor@gmb.org.br
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