SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups

Detalhes bibliográficos
Autor(a) principal: Oliveira,Lander Santos de
Data de Publicação: 2021
Outros Autores: Schuster,Ivan, Novaes,Evandro, Pereira,Welison Andrade
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Crop Breeding and Applied Biotechnology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000100211
Resumo: Abstract Advances in genotyping technologies have transformed the way breeding programs manage their genetic resources. The identification of single nucleotide polymorphisms (SNPs) can improve understanding of the genetic diversity of maize (Zea mays) inbred lines and their classification into heterotic groups, which is useful in determining certain crosses to obtain hybrids with higher yield performance. The genetic diversity of 293 inbred lines was investigated with 5252 SNPs with minor allele frequency (MAF)>5%. There was an average of 525 SNPs per chromosome. Polymorphism information content (PIC) averaged 0.297. The unweighted pair group method with arithmetic mean analysis (UPGMA) and principal component analysis (PCA) based on the genetic distance matrix revealed four similar clusters and high cophenetic correlation coefficients (0.953 and 0.863, respectively). The results showed consistency between genetic distance-based grouping and the heterotic groups previously established using pedigree and topcross information for the inbred lines studied.
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spelling SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groupsgenetic diversitysingle nucleotide polymorphismZea maysAbstract Advances in genotyping technologies have transformed the way breeding programs manage their genetic resources. The identification of single nucleotide polymorphisms (SNPs) can improve understanding of the genetic diversity of maize (Zea mays) inbred lines and their classification into heterotic groups, which is useful in determining certain crosses to obtain hybrids with higher yield performance. The genetic diversity of 293 inbred lines was investigated with 5252 SNPs with minor allele frequency (MAF)>5%. There was an average of 525 SNPs per chromosome. Polymorphism information content (PIC) averaged 0.297. The unweighted pair group method with arithmetic mean analysis (UPGMA) and principal component analysis (PCA) based on the genetic distance matrix revealed four similar clusters and high cophenetic correlation coefficients (0.953 and 0.863, respectively). The results showed consistency between genetic distance-based grouping and the heterotic groups previously established using pedigree and topcross information for the inbred lines studied.Crop Breeding and Applied Biotechnology2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000100211Crop Breeding and Applied Biotechnology v.21 n.1 2021reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332021v21n1a10info:eu-repo/semantics/openAccessOliveira,Lander Santos deSchuster,IvanNovaes,EvandroPereira,Welison Andradeeng2021-05-19T00:00:00Zoai:scielo:S1984-70332021000100211Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2021-05-19T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
title SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
spellingShingle SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
Oliveira,Lander Santos de
genetic diversity
single nucleotide polymorphism
Zea mays
title_short SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
title_full SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
title_fullStr SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
title_full_unstemmed SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
title_sort SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
author Oliveira,Lander Santos de
author_facet Oliveira,Lander Santos de
Schuster,Ivan
Novaes,Evandro
Pereira,Welison Andrade
author_role author
author2 Schuster,Ivan
Novaes,Evandro
Pereira,Welison Andrade
author2_role author
author
author
dc.contributor.author.fl_str_mv Oliveira,Lander Santos de
Schuster,Ivan
Novaes,Evandro
Pereira,Welison Andrade
dc.subject.por.fl_str_mv genetic diversity
single nucleotide polymorphism
Zea mays
topic genetic diversity
single nucleotide polymorphism
Zea mays
description Abstract Advances in genotyping technologies have transformed the way breeding programs manage their genetic resources. The identification of single nucleotide polymorphisms (SNPs) can improve understanding of the genetic diversity of maize (Zea mays) inbred lines and their classification into heterotic groups, which is useful in determining certain crosses to obtain hybrids with higher yield performance. The genetic diversity of 293 inbred lines was investigated with 5252 SNPs with minor allele frequency (MAF)>5%. There was an average of 525 SNPs per chromosome. Polymorphism information content (PIC) averaged 0.297. The unweighted pair group method with arithmetic mean analysis (UPGMA) and principal component analysis (PCA) based on the genetic distance matrix revealed four similar clusters and high cophenetic correlation coefficients (0.953 and 0.863, respectively). The results showed consistency between genetic distance-based grouping and the heterotic groups previously established using pedigree and topcross information for the inbred lines studied.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S1984-70332021000100211
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000100211
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332021v21n1a10
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 Crop Breeding and Applied Biotechnology
publisher.none.fl_str_mv Crop Breeding and Applied Biotechnology
dc.source.none.fl_str_mv Crop Breeding and Applied Biotechnology v.21 n.1 2021
reponame:Crop Breeding and Applied Biotechnology
instname:Sociedade Brasileira de Melhoramento de Plantas
instacron:CBAB
instname_str Sociedade Brasileira de Melhoramento de Plantas
instacron_str CBAB
institution CBAB
reponame_str Crop Breeding and Applied Biotechnology
collection Crop Breeding and Applied Biotechnology
repository.name.fl_str_mv Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas
repository.mail.fl_str_mv cbabjournal@gmail.com||cbab@ufv.br
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