Estimates of genetic parameters between and within black oat populations

Detalhes bibliográficos
Autor(a) principal: Meira,Daniela
Data de Publicação: 2019
Outros Autores: Meier,Carine, Olivoto,Tiago, Nardino,Maicon, Klein,Luís Antônio, Moro,Ederson Duranti, Fassini,Fabrício, Marchioro,Volmir Sergio, Souza,Velci Queiróz de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000100043
Resumo: ABSTRACT The aims of this study were to characterize black oat populations by estimating between- and within-populations variance components and genetic parameters, as well as to distinguish the populations using multivariable statistics. The experiment was carried out in randomized blocks design with three repetitions, with 14 black oat populations collected in several municipalities of Rio Grande do Sul state. Agronomic important traits were assessed at physiological maturation stage. Variance components and genetic parameters were estimated considering within-block information. In addition, Mahalanobis distance, relative contribution of traits, and canonical variables were used to distinguish the populations. Selection based on panicle length, number of grains per panicle, panicle weight and panicle grain weight may result in higher selection gains. Panicle grain weight presents a greater contribution to genetic divergence between studied populations. The formation of distinct groups indicated the presence of genetic variability among black oat populations in the northwestern of the Rio Grande do Sul state. Directed crosses between individual plants of populations from (i) Alto Alegre and Salvador das Missões, Chapada, or Santa Rosa or (ii) between plants of populations from Salvador das Missões and Campos Borges or Santa Rosa can generate segregating populations with great genetic variability. The predominance of between-phenotypic variance and a within-genetic variance indicate prospects for success in selection gain and possible selection of a new cultivar with fewer efforts compared to a cross-based method. This is supported by the high values of within-population heritability.
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spelling Estimates of genetic parameters between and within black oat populationsAvena strigosagenetic divergencegenotypic varianceABSTRACT The aims of this study were to characterize black oat populations by estimating between- and within-populations variance components and genetic parameters, as well as to distinguish the populations using multivariable statistics. The experiment was carried out in randomized blocks design with three repetitions, with 14 black oat populations collected in several municipalities of Rio Grande do Sul state. Agronomic important traits were assessed at physiological maturation stage. Variance components and genetic parameters were estimated considering within-block information. In addition, Mahalanobis distance, relative contribution of traits, and canonical variables were used to distinguish the populations. Selection based on panicle length, number of grains per panicle, panicle weight and panicle grain weight may result in higher selection gains. Panicle grain weight presents a greater contribution to genetic divergence between studied populations. The formation of distinct groups indicated the presence of genetic variability among black oat populations in the northwestern of the Rio Grande do Sul state. Directed crosses between individual plants of populations from (i) Alto Alegre and Salvador das Missões, Chapada, or Santa Rosa or (ii) between plants of populations from Salvador das Missões and Campos Borges or Santa Rosa can generate segregating populations with great genetic variability. The predominance of between-phenotypic variance and a within-genetic variance indicate prospects for success in selection gain and possible selection of a new cultivar with fewer efforts compared to a cross-based method. This is supported by the high values of within-population heritability.Instituto Agronômico de Campinas2019-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000100043Bragantia v.78 n.1 2019reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.2018116info:eu-repo/semantics/openAccessMeira,DanielaMeier,CarineOlivoto,TiagoNardino,MaiconKlein,Luís AntônioMoro,Ederson DurantiFassini,FabrícioMarchioro,Volmir SergioSouza,Velci Queiróz deeng2019-02-26T00:00:00Zoai:scielo:S0006-87052019000100043Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2019-02-26T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Estimates of genetic parameters between and within black oat populations
title Estimates of genetic parameters between and within black oat populations
spellingShingle Estimates of genetic parameters between and within black oat populations
Meira,Daniela
Avena strigosa
genetic divergence
genotypic variance
title_short Estimates of genetic parameters between and within black oat populations
title_full Estimates of genetic parameters between and within black oat populations
title_fullStr Estimates of genetic parameters between and within black oat populations
title_full_unstemmed Estimates of genetic parameters between and within black oat populations
title_sort Estimates of genetic parameters between and within black oat populations
author Meira,Daniela
author_facet Meira,Daniela
Meier,Carine
Olivoto,Tiago
Nardino,Maicon
Klein,Luís Antônio
Moro,Ederson Duranti
Fassini,Fabrício
Marchioro,Volmir Sergio
Souza,Velci Queiróz de
author_role author
author2 Meier,Carine
Olivoto,Tiago
Nardino,Maicon
Klein,Luís Antônio
Moro,Ederson Duranti
Fassini,Fabrício
Marchioro,Volmir Sergio
Souza,Velci Queiróz de
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Meira,Daniela
Meier,Carine
Olivoto,Tiago
Nardino,Maicon
Klein,Luís Antônio
Moro,Ederson Duranti
Fassini,Fabrício
Marchioro,Volmir Sergio
Souza,Velci Queiróz de
dc.subject.por.fl_str_mv Avena strigosa
genetic divergence
genotypic variance
topic Avena strigosa
genetic divergence
genotypic variance
description ABSTRACT The aims of this study were to characterize black oat populations by estimating between- and within-populations variance components and genetic parameters, as well as to distinguish the populations using multivariable statistics. The experiment was carried out in randomized blocks design with three repetitions, with 14 black oat populations collected in several municipalities of Rio Grande do Sul state. Agronomic important traits were assessed at physiological maturation stage. Variance components and genetic parameters were estimated considering within-block information. In addition, Mahalanobis distance, relative contribution of traits, and canonical variables were used to distinguish the populations. Selection based on panicle length, number of grains per panicle, panicle weight and panicle grain weight may result in higher selection gains. Panicle grain weight presents a greater contribution to genetic divergence between studied populations. The formation of distinct groups indicated the presence of genetic variability among black oat populations in the northwestern of the Rio Grande do Sul state. Directed crosses between individual plants of populations from (i) Alto Alegre and Salvador das Missões, Chapada, or Santa Rosa or (ii) between plants of populations from Salvador das Missões and Campos Borges or Santa Rosa can generate segregating populations with great genetic variability. The predominance of between-phenotypic variance and a within-genetic variance indicate prospects for success in selection gain and possible selection of a new cultivar with fewer efforts compared to a cross-based method. This is supported by the high values of within-population heritability.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-01
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=S0006-87052019000100043
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000100043
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.2018116
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 Instituto Agronômico de Campinas
publisher.none.fl_str_mv Instituto Agronômico de Campinas
dc.source.none.fl_str_mv Bragantia v.78 n.1 2019
reponame:Bragantia
instname:Instituto Agronômico de Campinas (IAC)
instacron:IAC
instname_str Instituto Agronômico de Campinas (IAC)
instacron_str IAC
institution IAC
reponame_str Bragantia
collection Bragantia
repository.name.fl_str_mv Bragantia - Instituto Agronômico de Campinas (IAC)
repository.mail.fl_str_mv bragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br
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