SNP genotyping for fast and consistent clustering of maize inbred lines into heterotic groups
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
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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Crop Breeding and Applied Biotechnology |
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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 |
_version_ |
1754209188395876352 |