Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode

Bibliographic Details
Main Author: Santana,Fernanda Abreu
Publication Date: 2014
Other Authors: Silva,Martha Freire da, Guimarães,Julierme Kellen Freitas, Ferreira,Marcia Flores da Silva, Pereira,Waldir Dias, Piovesan,Newton Deniz, Barros,Everaldo Gonçalves de
Format: Article
Language: eng
Source: Crop Breeding and Applied Biotechnology
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332014000300007
Summary: Resistant lines can be identified by marker-assisted selection(MAS), based on alleles of genetic markers linked to the resistance trait. This reduces the number of phenotypically evaluated lines, one of the limitations in the development of cultivars with resistance to soybean cyst nematode (SCN).This study evaluated the efficiency of microsatellites near quantitative traitloci (QTL) for SCN resistance, in the linkage groups (LG) G and A2 of soybean, for the selection of resistant genotypes in populations originated from crosses between the cultivars Vmax and CD201. The QTL of LG A2 was not detected in 'Vmax' (derived from PI 88788). In MAS, the microsatellites of LG G were efficient in selecting F6:7 families with resistance and moderate resistance to SCN race 3. The selection efficiency of the microsatellites Sat_168, Satt309 and Sat_141 was greater than 93%.
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spelling Marker-assisted selection strategies for developing resistant soybean plants to cyst nematodeMASGlycine maxSCNmicrosatellitesQTLResistant lines can be identified by marker-assisted selection(MAS), based on alleles of genetic markers linked to the resistance trait. This reduces the number of phenotypically evaluated lines, one of the limitations in the development of cultivars with resistance to soybean cyst nematode (SCN).This study evaluated the efficiency of microsatellites near quantitative traitloci (QTL) for SCN resistance, in the linkage groups (LG) G and A2 of soybean, for the selection of resistant genotypes in populations originated from crosses between the cultivars Vmax and CD201. The QTL of LG A2 was not detected in 'Vmax' (derived from PI 88788). In MAS, the microsatellites of LG G were efficient in selecting F6:7 families with resistance and moderate resistance to SCN race 3. The selection efficiency of the microsatellites Sat_168, Satt309 and Sat_141 was greater than 93%.Crop Breeding and Applied Biotechnology2014-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332014000300007Crop Breeding and Applied Biotechnology v.14 n.3 2014reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332014v14n3a27info:eu-repo/semantics/openAccessSantana,Fernanda AbreuSilva,Martha Freire daGuimarães,Julierme Kellen FreitasFerreira,Marcia Flores da SilvaPereira,Waldir DiasPiovesan,Newton DenizBarros,Everaldo Gonçalves deeng2014-11-25T00:00:00Zoai:scielo:S1984-70332014000300007Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2014-11-25T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
title Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
spellingShingle Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
Santana,Fernanda Abreu
MAS
Glycine max
SCN
microsatellites
QTL
title_short Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
title_full Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
title_fullStr Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
title_full_unstemmed Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
title_sort Marker-assisted selection strategies for developing resistant soybean plants to cyst nematode
author Santana,Fernanda Abreu
author_facet Santana,Fernanda Abreu
Silva,Martha Freire da
Guimarães,Julierme Kellen Freitas
Ferreira,Marcia Flores da Silva
Pereira,Waldir Dias
Piovesan,Newton Deniz
Barros,Everaldo Gonçalves de
author_role author
author2 Silva,Martha Freire da
Guimarães,Julierme Kellen Freitas
Ferreira,Marcia Flores da Silva
Pereira,Waldir Dias
Piovesan,Newton Deniz
Barros,Everaldo Gonçalves de
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santana,Fernanda Abreu
Silva,Martha Freire da
Guimarães,Julierme Kellen Freitas
Ferreira,Marcia Flores da Silva
Pereira,Waldir Dias
Piovesan,Newton Deniz
Barros,Everaldo Gonçalves de
dc.subject.por.fl_str_mv MAS
Glycine max
SCN
microsatellites
QTL
topic MAS
Glycine max
SCN
microsatellites
QTL
description Resistant lines can be identified by marker-assisted selection(MAS), based on alleles of genetic markers linked to the resistance trait. This reduces the number of phenotypically evaluated lines, one of the limitations in the development of cultivars with resistance to soybean cyst nematode (SCN).This study evaluated the efficiency of microsatellites near quantitative traitloci (QTL) for SCN resistance, in the linkage groups (LG) G and A2 of soybean, for the selection of resistant genotypes in populations originated from crosses between the cultivars Vmax and CD201. The QTL of LG A2 was not detected in 'Vmax' (derived from PI 88788). In MAS, the microsatellites of LG G were efficient in selecting F6:7 families with resistance and moderate resistance to SCN race 3. The selection efficiency of the microsatellites Sat_168, Satt309 and Sat_141 was greater than 93%.
publishDate 2014
dc.date.none.fl_str_mv 2014-10-01
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=S1984-70332014000300007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332014000300007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332014v14n3a27
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.14 n.3 2014
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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