Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132010000300004 |
Resumo: | In this study, simple sequence repeats (SSR) loci and pedigree data were used to investigate the genetic relationship in a group of 168 Brazilian soybean cultivars. Eighteen SSR loci produced an average of 5.06 alleles and a mean gene diversity of 0.58 for the cultivars studied. Genetic distance (GD) was determined using the modified Roger's Wright distance, and a final dendrogram was in agreement with the cultivar pedigree. A distance matrix based on the coefficient of parentage scores was also generated for the cultivars, which ranged from 0 to 1, with a mean of 0.18, whereas SSR-based genetic similarity (1- GD) ranged from 0.01 to 0.90, with a mean of 0.25. Mantel's Z test showed that the similarity matrices generated from both the data sets were low, but significantly correlated (r = 0.31, p<0.001). The results showed that SSR data and pedigree analyses could help to quantify more accurately the degree of relationship among the soybean cultivars. |
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Brazilian Archives of Biology and Technology |
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Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree dataCoefficient of parentageGlycine max (L.) Merr.microsatellite markersIn this study, simple sequence repeats (SSR) loci and pedigree data were used to investigate the genetic relationship in a group of 168 Brazilian soybean cultivars. Eighteen SSR loci produced an average of 5.06 alleles and a mean gene diversity of 0.58 for the cultivars studied. Genetic distance (GD) was determined using the modified Roger's Wright distance, and a final dendrogram was in agreement with the cultivar pedigree. A distance matrix based on the coefficient of parentage scores was also generated for the cultivars, which ranged from 0 to 1, with a mean of 0.18, whereas SSR-based genetic similarity (1- GD) ranged from 0.01 to 0.90, with a mean of 0.25. Mantel's Z test showed that the similarity matrices generated from both the data sets were low, but significantly correlated (r = 0.31, p<0.001). The results showed that SSR data and pedigree analyses could help to quantify more accurately the degree of relationship among the soybean cultivars.Instituto de Tecnologia do Paraná - Tecpar2010-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132010000300004Brazilian Archives of Biology and Technology v.53 n.3 2010reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/S1516-89132010000300004info:eu-repo/semantics/openAccessPriolli,Regina Helena GeribelloPinheiro,José BaldinZucchi,Maria ImaculadaBajay,Miklos MaximilianoVello,Natal Antonioeng2010-06-11T00:00:00Zoai:scielo:S1516-89132010000300004Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2010-06-11T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data |
title |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data |
spellingShingle |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data Priolli,Regina Helena Geribello Coefficient of parentage Glycine max (L.) Merr. microsatellite markers |
title_short |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data |
title_full |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data |
title_fullStr |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data |
title_full_unstemmed |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data |
title_sort |
Genetic diversity among Brazilian soybean cultivars based on SSR loci and pedigree data |
author |
Priolli,Regina Helena Geribello |
author_facet |
Priolli,Regina Helena Geribello Pinheiro,José Baldin Zucchi,Maria Imaculada Bajay,Miklos Maximiliano Vello,Natal Antonio |
author_role |
author |
author2 |
Pinheiro,José Baldin Zucchi,Maria Imaculada Bajay,Miklos Maximiliano Vello,Natal Antonio |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Priolli,Regina Helena Geribello Pinheiro,José Baldin Zucchi,Maria Imaculada Bajay,Miklos Maximiliano Vello,Natal Antonio |
dc.subject.por.fl_str_mv |
Coefficient of parentage Glycine max (L.) Merr. microsatellite markers |
topic |
Coefficient of parentage Glycine max (L.) Merr. microsatellite markers |
description |
In this study, simple sequence repeats (SSR) loci and pedigree data were used to investigate the genetic relationship in a group of 168 Brazilian soybean cultivars. Eighteen SSR loci produced an average of 5.06 alleles and a mean gene diversity of 0.58 for the cultivars studied. Genetic distance (GD) was determined using the modified Roger's Wright distance, and a final dendrogram was in agreement with the cultivar pedigree. A distance matrix based on the coefficient of parentage scores was also generated for the cultivars, which ranged from 0 to 1, with a mean of 0.18, whereas SSR-based genetic similarity (1- GD) ranged from 0.01 to 0.90, with a mean of 0.25. Mantel's Z test showed that the similarity matrices generated from both the data sets were low, but significantly correlated (r = 0.31, p<0.001). The results showed that SSR data and pedigree analyses could help to quantify more accurately the degree of relationship among the soybean cultivars. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-06-01 |
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=S1516-89132010000300004 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132010000300004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1516-89132010000300004 |
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 de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.53 n.3 2010 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318273945141248 |