Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust

Detalhes bibliográficos
Autor(a) principal: Yassue,Rafael Massahiro
Data de Publicação: 2019
Outros Autores: Bornhofen,Elesandro, Espolador,Fernando Garcia, Barbosa,Pedro Augusto Medeiros, Souza,Renan Silva e, Vello,Natal Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400522
Resumo: ABSTRACT Due to the high impact of Asian soybean rust (SBR) in Brazilian croplands, several studies have been conducted in order to maintain or increase the grain yield gain over years in the presence of the pathogen. The aim of this study was to define a breeding strategy applying uni and multivariate approaches for diallel analyzes in early generation trials and contrasting disease conditions. Thus, assessing genetic parameters to identify traits related to greater tolerance to soybean rust. Deploying a North Carolina design II scheme (4 elite commercial cultivars × 10 rust-tolerant experimental lines), we obtained 40 F2 crosses that were evaluated in a randomized complete block design with 4 replicates. The crosses were conducted in two environments, contrasting only for the fungicide management (with and without rust control), enabling the estimation of the rust impact on 11 traits, divided into two groups: adaptive and reproductive. A multi-environment diallel model was applied assuming all effects as fixed in order to estimate the general (GCA) and the specific (SCA) combining abilities. The multivariate diallel analysis was performed in each rust management using MANOVA to test the genetic effects. The rust conditions were the most important source of variation for almost all evaluated traits. Using the contrasting disease conditions, we were able to identify crosses with desirable SCA and parents with GCA, which implies that tolerance can be used as a strategy to deal with SBR. The implementation and the use of multivariate diallel analysis aiming to increase the efficiency of genotype selection for rust tolerance is discussed.
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spelling Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rustGlycine maxPhakopsora pachyrhizimultivariate diallelNorth Carolina design IIABSTRACT Due to the high impact of Asian soybean rust (SBR) in Brazilian croplands, several studies have been conducted in order to maintain or increase the grain yield gain over years in the presence of the pathogen. The aim of this study was to define a breeding strategy applying uni and multivariate approaches for diallel analyzes in early generation trials and contrasting disease conditions. Thus, assessing genetic parameters to identify traits related to greater tolerance to soybean rust. Deploying a North Carolina design II scheme (4 elite commercial cultivars × 10 rust-tolerant experimental lines), we obtained 40 F2 crosses that were evaluated in a randomized complete block design with 4 replicates. The crosses were conducted in two environments, contrasting only for the fungicide management (with and without rust control), enabling the estimation of the rust impact on 11 traits, divided into two groups: adaptive and reproductive. A multi-environment diallel model was applied assuming all effects as fixed in order to estimate the general (GCA) and the specific (SCA) combining abilities. The multivariate diallel analysis was performed in each rust management using MANOVA to test the genetic effects. The rust conditions were the most important source of variation for almost all evaluated traits. Using the contrasting disease conditions, we were able to identify crosses with desirable SCA and parents with GCA, which implies that tolerance can be used as a strategy to deal with SBR. The implementation and the use of multivariate diallel analysis aiming to increase the efficiency of genotype selection for rust tolerance is discussed.Instituto Agronômico de Campinas2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400522Bragantia v.78 n.4 2019reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20190037info:eu-repo/semantics/openAccessYassue,Rafael MassahiroBornhofen,ElesandroEspolador,Fernando GarciaBarbosa,Pedro Augusto MedeirosSouza,Renan Silva eVello,Natal Antonioeng2019-12-09T00:00:00Zoai:scielo:S0006-87052019000400522Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2019-12-09T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
title Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
spellingShingle Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
Yassue,Rafael Massahiro
Glycine max
Phakopsora pachyrhizi
multivariate diallel
North Carolina design II
title_short Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
title_full Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
title_fullStr Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
title_full_unstemmed Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
title_sort Uni and multivariate approaches for diallel analysis in early generation trials for soybean tolerance to rust
author Yassue,Rafael Massahiro
author_facet Yassue,Rafael Massahiro
Bornhofen,Elesandro
Espolador,Fernando Garcia
Barbosa,Pedro Augusto Medeiros
Souza,Renan Silva e
Vello,Natal Antonio
author_role author
author2 Bornhofen,Elesandro
Espolador,Fernando Garcia
Barbosa,Pedro Augusto Medeiros
Souza,Renan Silva e
Vello,Natal Antonio
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Yassue,Rafael Massahiro
Bornhofen,Elesandro
Espolador,Fernando Garcia
Barbosa,Pedro Augusto Medeiros
Souza,Renan Silva e
Vello,Natal Antonio
dc.subject.por.fl_str_mv Glycine max
Phakopsora pachyrhizi
multivariate diallel
North Carolina design II
topic Glycine max
Phakopsora pachyrhizi
multivariate diallel
North Carolina design II
description ABSTRACT Due to the high impact of Asian soybean rust (SBR) in Brazilian croplands, several studies have been conducted in order to maintain or increase the grain yield gain over years in the presence of the pathogen. The aim of this study was to define a breeding strategy applying uni and multivariate approaches for diallel analyzes in early generation trials and contrasting disease conditions. Thus, assessing genetic parameters to identify traits related to greater tolerance to soybean rust. Deploying a North Carolina design II scheme (4 elite commercial cultivars × 10 rust-tolerant experimental lines), we obtained 40 F2 crosses that were evaluated in a randomized complete block design with 4 replicates. The crosses were conducted in two environments, contrasting only for the fungicide management (with and without rust control), enabling the estimation of the rust impact on 11 traits, divided into two groups: adaptive and reproductive. A multi-environment diallel model was applied assuming all effects as fixed in order to estimate the general (GCA) and the specific (SCA) combining abilities. The multivariate diallel analysis was performed in each rust management using MANOVA to test the genetic effects. The rust conditions were the most important source of variation for almost all evaluated traits. Using the contrasting disease conditions, we were able to identify crosses with desirable SCA and parents with GCA, which implies that tolerance can be used as a strategy to deal with SBR. The implementation and the use of multivariate diallel analysis aiming to increase the efficiency of genotype selection for rust tolerance is discussed.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
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=S0006-87052019000400522
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000400522
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.20190037
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.4 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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