Statistical methods to study adaptability and stability in breeding lines of food-type soybeans

Detalhes bibliográficos
Autor(a) principal: Freiria,Gustavo Henrique
Data de Publicação: 2018
Outros Autores: Gonçalves,Leandro Simões Azeredo, Furlan,Felipe Favoretto, Fonseca Junior,Nelson da Silva, Lima,Wilmar Ferreira, Prete,Cássio Egidio Cavenaghi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200253
Resumo: ABSTRACT The grains of food-type soybean cultivars, which are characterized by the absence of lipoxygenases and the presence of high levels of proteins and isoflavones, are regarded as functional foods with high acceptance by consumers. However, few cultivars of food-type soybeans are currently available in the Brazilian market. The aim of this work was to study the adaptability and stability of various genotypes of food-type soybeans and to compare the performance of methods, which are based on analysis of variance, non-parametric, regression, multivariate and mixed models. Ten lines of food-type soybeans obtained from the Breeding Program of Soybeans for Human Consumption of the State University of Londrina (UEL/BPSHC) and two commercial varieties, the foodtype cultivar BRS 257 and the cultivar BMX Potência RR, were evaluated in the counties of Londrina, Guarapuava, Ponta Grossa and Pato Branco, Paraná, Brazil, during the two sowing seasons of the harvest of 2014/2015. The characteristic evaluated was grain yield. The adaptability parameters of Eberhart and Russel and Cruz methods showed high correlations with the Wricke model. The parameters provided by the analyses of Lins and Binns and REML/BLUP showed higher grain yield associations and moderated correlations with the Eskridge parameters. The AMMI offered the possibility of use in conjunction with the other methodologies. When yield, adaptability and stability were considered, the genotypes UEL 110, UEL 122, UEL 121 and UEL 123 demonstrated potential for the development of new cultivars of food-type soybeans in which lipoxygenases are absent.
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spelling Statistical methods to study adaptability and stability in breeding lines of food-type soybeansGlycine maxyieldnon-parametricregressionmultivariatemixed modelsABSTRACT The grains of food-type soybean cultivars, which are characterized by the absence of lipoxygenases and the presence of high levels of proteins and isoflavones, are regarded as functional foods with high acceptance by consumers. However, few cultivars of food-type soybeans are currently available in the Brazilian market. The aim of this work was to study the adaptability and stability of various genotypes of food-type soybeans and to compare the performance of methods, which are based on analysis of variance, non-parametric, regression, multivariate and mixed models. Ten lines of food-type soybeans obtained from the Breeding Program of Soybeans for Human Consumption of the State University of Londrina (UEL/BPSHC) and two commercial varieties, the foodtype cultivar BRS 257 and the cultivar BMX Potência RR, were evaluated in the counties of Londrina, Guarapuava, Ponta Grossa and Pato Branco, Paraná, Brazil, during the two sowing seasons of the harvest of 2014/2015. The characteristic evaluated was grain yield. The adaptability parameters of Eberhart and Russel and Cruz methods showed high correlations with the Wricke model. The parameters provided by the analyses of Lins and Binns and REML/BLUP showed higher grain yield associations and moderated correlations with the Eskridge parameters. The AMMI offered the possibility of use in conjunction with the other methodologies. When yield, adaptability and stability were considered, the genotypes UEL 110, UEL 122, UEL 121 and UEL 123 demonstrated potential for the development of new cultivars of food-type soybeans in which lipoxygenases are absent.Instituto Agronômico de Campinas2018-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200253Bragantia v.77 n.2 2018reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.2017076info:eu-repo/semantics/openAccessFreiria,Gustavo HenriqueGonçalves,Leandro Simões AzeredoFurlan,Felipe FavorettoFonseca Junior,Nelson da SilvaLima,Wilmar FerreiraPrete,Cássio Egidio Cavenaghieng2019-05-16T00:00:00Zoai:scielo:S0006-87052018000200253Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2019-05-16T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
title Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
spellingShingle Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
Freiria,Gustavo Henrique
Glycine max
yield
non-parametric
regression
multivariate
mixed models
title_short Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
title_full Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
title_fullStr Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
title_full_unstemmed Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
title_sort Statistical methods to study adaptability and stability in breeding lines of food-type soybeans
author Freiria,Gustavo Henrique
author_facet Freiria,Gustavo Henrique
Gonçalves,Leandro Simões Azeredo
Furlan,Felipe Favoretto
Fonseca Junior,Nelson da Silva
Lima,Wilmar Ferreira
Prete,Cássio Egidio Cavenaghi
author_role author
author2 Gonçalves,Leandro Simões Azeredo
Furlan,Felipe Favoretto
Fonseca Junior,Nelson da Silva
Lima,Wilmar Ferreira
Prete,Cássio Egidio Cavenaghi
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Freiria,Gustavo Henrique
Gonçalves,Leandro Simões Azeredo
Furlan,Felipe Favoretto
Fonseca Junior,Nelson da Silva
Lima,Wilmar Ferreira
Prete,Cássio Egidio Cavenaghi
dc.subject.por.fl_str_mv Glycine max
yield
non-parametric
regression
multivariate
mixed models
topic Glycine max
yield
non-parametric
regression
multivariate
mixed models
description ABSTRACT The grains of food-type soybean cultivars, which are characterized by the absence of lipoxygenases and the presence of high levels of proteins and isoflavones, are regarded as functional foods with high acceptance by consumers. However, few cultivars of food-type soybeans are currently available in the Brazilian market. The aim of this work was to study the adaptability and stability of various genotypes of food-type soybeans and to compare the performance of methods, which are based on analysis of variance, non-parametric, regression, multivariate and mixed models. Ten lines of food-type soybeans obtained from the Breeding Program of Soybeans for Human Consumption of the State University of Londrina (UEL/BPSHC) and two commercial varieties, the foodtype cultivar BRS 257 and the cultivar BMX Potência RR, were evaluated in the counties of Londrina, Guarapuava, Ponta Grossa and Pato Branco, Paraná, Brazil, during the two sowing seasons of the harvest of 2014/2015. The characteristic evaluated was grain yield. The adaptability parameters of Eberhart and Russel and Cruz methods showed high correlations with the Wricke model. The parameters provided by the analyses of Lins and Binns and REML/BLUP showed higher grain yield associations and moderated correlations with the Eskridge parameters. The AMMI offered the possibility of use in conjunction with the other methodologies. When yield, adaptability and stability were considered, the genotypes UEL 110, UEL 122, UEL 121 and UEL 123 demonstrated potential for the development of new cultivars of food-type soybeans in which lipoxygenases are absent.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01
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=S0006-87052018000200253
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052018000200253
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.2017076
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.77 n.2 2018
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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