Soybean nutraceutical canonic inter-relations and its reflections on breeding

Detalhes bibliográficos
Autor(a) principal: Carvalho, Ivan Ricardo
Data de Publicação: 2021
Outros Autores: da Silva, José Antonio Gonzalez, Loro, Murilo Vieira, Sarturi, Marlon Vinícius Da Rosa, Hutra, Danieli Jacoboski, Lautenchleger, Francine
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agropecuária Catarinense (Online)
Texto Completo: https://publicacoes.epagri.sc.gov.br/rac/article/view/1155
Resumo: In recent years, questionings on the behavior of genotypes in different environments are frequent, especially those seeking to disclose the commercial and nutritional value of soybean genotypes. Consequently, this study – which is linked to the IRC Soybean Breeding Program located in Campos Borges, Rio Grande do Sul, Brazil – sought to analyze the physiological and nutritional aspects of S5 Soybean Segregating Families. Research design consisted of complete randomized blocks containing 40 soybean genotypes arranged in four repetitions, corresponding to F5 generation genotypes tested in 2018/2019. This generation was obtained via artificial hybridizations of F1s plants carried out in 2014/2015, F2s in 2015/2016, F3 segregating families in 2016/2017 and F4 in 2017/2018. Traits were evaluated by a statistical model, verifying normality and homogeneity of variances. Behavioral explanation of the F5 Soybean Segregating Families was calculated using analysis of variance, grouping of means, and linear and canonical correlation. Analysis of variance showed a significant difference (p <0.01) for all variables, indicating the existence of genetic variability. F5 Segregating Families IRC8_130 and IRC31_102 show promising results in breeding programs involving physiological and nutritional aspects. Crude protein, crude fiber, first pod insertion height, plant height and number of pods with 4 grains, are dominant and determining characteristics for establishing segregating generations, and can be used in breeding programs.
id EPAGRI_f87bcd2474d03485778d7a8210625581
oai_identifier_str oai:ojs.publicacoes.epagri.sc.gov.br:article/1155
network_acronym_str EPAGRI
network_name_str Agropecuária Catarinense (Online)
repository_id_str
spelling Soybean nutraceutical canonic inter-relations and its reflections on breedingInter-relações nutracêuticas canônicas da soja e suas reflexões sobre o melhoramento genéticoGlycine maxplant geneticssegregating familiesmultivariate analysisGlycine maxgenética de plantasFamílias segregantesanálise multivariadaIn recent years, questionings on the behavior of genotypes in different environments are frequent, especially those seeking to disclose the commercial and nutritional value of soybean genotypes. Consequently, this study – which is linked to the IRC Soybean Breeding Program located in Campos Borges, Rio Grande do Sul, Brazil – sought to analyze the physiological and nutritional aspects of S5 Soybean Segregating Families. Research design consisted of complete randomized blocks containing 40 soybean genotypes arranged in four repetitions, corresponding to F5 generation genotypes tested in 2018/2019. This generation was obtained via artificial hybridizations of F1s plants carried out in 2014/2015, F2s in 2015/2016, F3 segregating families in 2016/2017 and F4 in 2017/2018. Traits were evaluated by a statistical model, verifying normality and homogeneity of variances. Behavioral explanation of the F5 Soybean Segregating Families was calculated using analysis of variance, grouping of means, and linear and canonical correlation. Analysis of variance showed a significant difference (p <0.01) for all variables, indicating the existence of genetic variability. F5 Segregating Families IRC8_130 and IRC31_102 show promising results in breeding programs involving physiological and nutritional aspects. Crude protein, crude fiber, first pod insertion height, plant height and number of pods with 4 grains, are dominant and determining characteristics for establishing segregating generations, and can be used in breeding programs.Nos últimos anos foram frequentes os questionamentos sobre o comportamento dos genótipos em diferentes ambientes, sobretudo aqueles que buscam revelar o valor comercial e nutricional dos genótipos de soja. Diante do exposto, o objetivo deste estudo foi analisar os aspectos fisiológicos e nutricionais das Famílias Segregantes S5 da soja. Este trabalho está vinculado ao Programa de Melhoramento de Soja do IRC localizado em Campos Borges, Rio Grande do Sul, Brasil. O delineamento utilizado foi de blocos casualizados completos, contendo 40 genótipos de soja dispostos em quatro repetições, correspondentes aos genótipos da geração F5 testados em 2018 e 2019. Esta geração foi obtida por meio de hibridizações artificiais de plantas F1s ocorridas em 2014 e 2015, F2s em 2015 e 2016 e famílias segregantes F3 em 2016 e 2017 e F4 em 2017 e 2018. Os caracteres foram avaliados e submetidos aos pressupostos do modelo estatístico, verificando a normalidade e homogeneidade das variâncias. Análise de variância, agrupamento de médias, correlação linear e canônica foram utilizadas para a explicação comportamental das Famílias Segregantes de Soja F5. A análise de variância revelou diferença significativa (p <0,01) para todas as variáveis, indicando a existência de variabilidade genética. As famílias segregantes da geração F5 IRC8_130 e IRC31_102 são promissoras em programas de melhoramento que envolvem aspectos fisiológicos e nutricionais. As características de proteína bruta, fibra bruta, altura de inserção da primeira vagem, altura de planta e número de vagens com 4 grãos, são dominantes e determinantes para o estabelecimento de gerações segregantes, podendo ser utilizadas em programas de melhoramento.Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri2021-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://publicacoes.epagri.sc.gov.br/rac/article/view/115510.52945/rac.v34i3.1155Agropecuária Catarinense Journal; Vol. 34 No. 3 (2021); 67-75Agropecuária Catarinense; v. 34 n. 3 (2021); 67-752525-60760103-0779reponame:Agropecuária Catarinense (Online)instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)instacron:EPAGRIporhttps://publicacoes.epagri.sc.gov.br/rac/article/view/1155/1224Copyright (c) 2021 Ivan Ricardo Carvalho, José Antonio Gonzalez da Silva, Murilo Vieira Loro, Marlon Vinícius Da Rosa Sarturi, Danieli Jacoboski Hutra, Francine Lautenchlegerhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCarvalho, Ivan Ricardo da Silva, José Antonio Gonzalez Loro, Murilo VieiraSarturi, Marlon Vinícius Da Rosa Hutra, Danieli JacoboskiLautenchleger, Francine 2022-06-22T11:42:32Zoai:ojs.publicacoes.epagri.sc.gov.br:article/1155Revistahttps://publicacoes.epagri.sc.gov.br/RAC/indexPUBhttps://publicacoes.epagri.sc.gov.br/index.php/RAC/oaieditoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br2525-60760103-0779opendoar:2022-06-22T11:42:32Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)false
dc.title.none.fl_str_mv Soybean nutraceutical canonic inter-relations and its reflections on breeding
Inter-relações nutracêuticas canônicas da soja e suas reflexões sobre o melhoramento genético
title Soybean nutraceutical canonic inter-relations and its reflections on breeding
spellingShingle Soybean nutraceutical canonic inter-relations and its reflections on breeding
Carvalho, Ivan Ricardo
Glycine max
plant genetics
segregating families
multivariate analysis
Glycine max
genética de plantas
Famílias segregantes
análise multivariada
title_short Soybean nutraceutical canonic inter-relations and its reflections on breeding
title_full Soybean nutraceutical canonic inter-relations and its reflections on breeding
title_fullStr Soybean nutraceutical canonic inter-relations and its reflections on breeding
title_full_unstemmed Soybean nutraceutical canonic inter-relations and its reflections on breeding
title_sort Soybean nutraceutical canonic inter-relations and its reflections on breeding
author Carvalho, Ivan Ricardo
author_facet Carvalho, Ivan Ricardo
da Silva, José Antonio Gonzalez
Loro, Murilo Vieira
Sarturi, Marlon Vinícius Da Rosa
Hutra, Danieli Jacoboski
Lautenchleger, Francine
author_role author
author2 da Silva, José Antonio Gonzalez
Loro, Murilo Vieira
Sarturi, Marlon Vinícius Da Rosa
Hutra, Danieli Jacoboski
Lautenchleger, Francine
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Carvalho, Ivan Ricardo
da Silva, José Antonio Gonzalez
Loro, Murilo Vieira
Sarturi, Marlon Vinícius Da Rosa
Hutra, Danieli Jacoboski
Lautenchleger, Francine
dc.subject.por.fl_str_mv Glycine max
plant genetics
segregating families
multivariate analysis
Glycine max
genética de plantas
Famílias segregantes
análise multivariada
topic Glycine max
plant genetics
segregating families
multivariate analysis
Glycine max
genética de plantas
Famílias segregantes
análise multivariada
description In recent years, questionings on the behavior of genotypes in different environments are frequent, especially those seeking to disclose the commercial and nutritional value of soybean genotypes. Consequently, this study – which is linked to the IRC Soybean Breeding Program located in Campos Borges, Rio Grande do Sul, Brazil – sought to analyze the physiological and nutritional aspects of S5 Soybean Segregating Families. Research design consisted of complete randomized blocks containing 40 soybean genotypes arranged in four repetitions, corresponding to F5 generation genotypes tested in 2018/2019. This generation was obtained via artificial hybridizations of F1s plants carried out in 2014/2015, F2s in 2015/2016, F3 segregating families in 2016/2017 and F4 in 2017/2018. Traits were evaluated by a statistical model, verifying normality and homogeneity of variances. Behavioral explanation of the F5 Soybean Segregating Families was calculated using analysis of variance, grouping of means, and linear and canonical correlation. Analysis of variance showed a significant difference (p <0.01) for all variables, indicating the existence of genetic variability. F5 Segregating Families IRC8_130 and IRC31_102 show promising results in breeding programs involving physiological and nutritional aspects. Crude protein, crude fiber, first pod insertion height, plant height and number of pods with 4 grains, are dominant and determining characteristics for establishing segregating generations, and can be used in breeding programs.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://publicacoes.epagri.sc.gov.br/rac/article/view/1155
10.52945/rac.v34i3.1155
url https://publicacoes.epagri.sc.gov.br/rac/article/view/1155
identifier_str_mv 10.52945/rac.v34i3.1155
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://publicacoes.epagri.sc.gov.br/rac/article/view/1155/1224
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
publisher.none.fl_str_mv Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina - Epagri
dc.source.none.fl_str_mv Agropecuária Catarinense Journal; Vol. 34 No. 3 (2021); 67-75
Agropecuária Catarinense; v. 34 n. 3 (2021); 67-75
2525-6076
0103-0779
reponame:Agropecuária Catarinense (Online)
instname:Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron:EPAGRI
instname_str Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
instacron_str EPAGRI
institution EPAGRI
reponame_str Agropecuária Catarinense (Online)
collection Agropecuária Catarinense (Online)
repository.name.fl_str_mv Agropecuária Catarinense (Online) - Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri)
repository.mail.fl_str_mv editoriarac@epagri.sc.gov.br || lamperuch@epagri.sc.gov.br
_version_ 1754917261250920448