Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm

Detalhes bibliográficos
Autor(a) principal: Follmann,Diego Nicolau
Data de Publicação: 2019
Outros Autores: Souza,Velci Queiróz de, Cargnelutti Filho,Alberto, Demari,Gustavo Henrique, Nardino,Maicon, Olivoto,Tiago, Carvalho,Ivan Ricardo, Silva,Antonio David Bortoluzzi, Meira,Daniela, Meier,Carine
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Bragantia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200197
Resumo: ABSTRACT The cultivation of second-harvest with soybean crop after first-harvest with maize crop has become an alternative to aggregate income to farmers in the South region of Brazil. However, there is little information about this cropping system in this region. The aims of this study were to: (i) evaluate the agronomic performance of soybean (Glycine max L.) cultivars growing in second-harvest during the summer; and (ii) evaluate the genetic divergence of the cultivars based on qualitative and quantitative traits. To do this, 18 soybean cultivars were evaluated in three field trials, sown during January in the northwestern region of Rio Grande do Sul state, Brazil. In each experiment, a randomized block design with four replicates was used. Five quantitative traits (representing the agronomic performance of the cultivars) and 12 qualitative traits (morphological descriptors) were assessed aiming at studying the genetic divergence. Variance components and genetic parameters were estimated using mixed models and BLUPs for genotypes were estimated for each quantitative trait. The cultivars FPS Iguaçu RR and BMX Turbo RR have good agronomic performance and are, based on quantitative and qualitative traits, genetically distant. These cultivars have shown agronomic features that allow their cultivation in the second-harvest in the northwestern of Rio Grande do Sul in addition to be potential genitors for future soybean breeding programs.
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spelling Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithmGlycine max L.mixed modelsquantitative and qualitative traitsUPGMAABSTRACT The cultivation of second-harvest with soybean crop after first-harvest with maize crop has become an alternative to aggregate income to farmers in the South region of Brazil. However, there is little information about this cropping system in this region. The aims of this study were to: (i) evaluate the agronomic performance of soybean (Glycine max L.) cultivars growing in second-harvest during the summer; and (ii) evaluate the genetic divergence of the cultivars based on qualitative and quantitative traits. To do this, 18 soybean cultivars were evaluated in three field trials, sown during January in the northwestern region of Rio Grande do Sul state, Brazil. In each experiment, a randomized block design with four replicates was used. Five quantitative traits (representing the agronomic performance of the cultivars) and 12 qualitative traits (morphological descriptors) were assessed aiming at studying the genetic divergence. Variance components and genetic parameters were estimated using mixed models and BLUPs for genotypes were estimated for each quantitative trait. The cultivars FPS Iguaçu RR and BMX Turbo RR have good agronomic performance and are, based on quantitative and qualitative traits, genetically distant. These cultivars have shown agronomic features that allow their cultivation in the second-harvest in the northwestern of Rio Grande do Sul in addition to be potential genitors for future soybean breeding programs.Instituto Agronômico de Campinas2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200197Bragantia v.78 n.2 2019reponame:Bragantiainstname:Instituto Agronômico de Campinas (IAC)instacron:IAC10.1590/1678-4499.20180194info:eu-repo/semantics/openAccessFollmann,Diego NicolauSouza,Velci Queiróz deCargnelutti Filho,AlbertoDemari,Gustavo HenriqueNardino,MaiconOlivoto,TiagoCarvalho,Ivan RicardoSilva,Antonio David BortoluzziMeira,DanielaMeier,Carineeng2019-06-27T00:00:00Zoai:scielo:S0006-87052019000200197Revistahttps://www.scielo.br/j/brag/https://old.scielo.br/oai/scielo-oai.phpbragantia@iac.sp.gov.br||bragantia@iac.sp.gov.br1678-44990006-8705opendoar:2019-06-27T00:00Bragantia - Instituto Agronômico de Campinas (IAC)false
dc.title.none.fl_str_mv Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
title Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
spellingShingle Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
Follmann,Diego Nicolau
Glycine max L.
mixed models
quantitative and qualitative traits
UPGMA
title_short Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
title_full Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
title_fullStr Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
title_full_unstemmed Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
title_sort Agronomic performance and genetic dissimilarity of second-harvest soybean cultivars using REML/BLUP and Gower’s algorithm
author Follmann,Diego Nicolau
author_facet Follmann,Diego Nicolau
Souza,Velci Queiróz de
Cargnelutti Filho,Alberto
Demari,Gustavo Henrique
Nardino,Maicon
Olivoto,Tiago
Carvalho,Ivan Ricardo
Silva,Antonio David Bortoluzzi
Meira,Daniela
Meier,Carine
author_role author
author2 Souza,Velci Queiróz de
Cargnelutti Filho,Alberto
Demari,Gustavo Henrique
Nardino,Maicon
Olivoto,Tiago
Carvalho,Ivan Ricardo
Silva,Antonio David Bortoluzzi
Meira,Daniela
Meier,Carine
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Follmann,Diego Nicolau
Souza,Velci Queiróz de
Cargnelutti Filho,Alberto
Demari,Gustavo Henrique
Nardino,Maicon
Olivoto,Tiago
Carvalho,Ivan Ricardo
Silva,Antonio David Bortoluzzi
Meira,Daniela
Meier,Carine
dc.subject.por.fl_str_mv Glycine max L.
mixed models
quantitative and qualitative traits
UPGMA
topic Glycine max L.
mixed models
quantitative and qualitative traits
UPGMA
description ABSTRACT The cultivation of second-harvest with soybean crop after first-harvest with maize crop has become an alternative to aggregate income to farmers in the South region of Brazil. However, there is little information about this cropping system in this region. The aims of this study were to: (i) evaluate the agronomic performance of soybean (Glycine max L.) cultivars growing in second-harvest during the summer; and (ii) evaluate the genetic divergence of the cultivars based on qualitative and quantitative traits. To do this, 18 soybean cultivars were evaluated in three field trials, sown during January in the northwestern region of Rio Grande do Sul state, Brazil. In each experiment, a randomized block design with four replicates was used. Five quantitative traits (representing the agronomic performance of the cultivars) and 12 qualitative traits (morphological descriptors) were assessed aiming at studying the genetic divergence. Variance components and genetic parameters were estimated using mixed models and BLUPs for genotypes were estimated for each quantitative trait. The cultivars FPS Iguaçu RR and BMX Turbo RR have good agronomic performance and are, based on quantitative and qualitative traits, genetically distant. These cultivars have shown agronomic features that allow their cultivation in the second-harvest in the northwestern of Rio Grande do Sul in addition to be potential genitors for future soybean breeding programs.
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
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=S0006-87052019000200197
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052019000200197
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4499.20180194
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.2 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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