QTL mapping for yield components and agronomic traits in a Brazilian soybean population

Detalhes bibliográficos
Autor(a) principal: Rodrigues,Josiane Isabela da Silva
Data de Publicação: 2016
Outros Autores: Miranda,Fábio Demolinari de, Piovesan,Newton Deniz, Ferreira,Adésio, Ferreira,Marcia Flores da Silva, Cruz,Cosme Damião, Barros,Everaldo Gonçalves de, Moreira,Maurilio Alves
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=S1984-70332016000400265
Resumo: Abstract The objective of this work was to map QTL for agronomic traits in a Brazilian soybean population. For this, 207 F2:3 progenies from the cross CS3035PTA276-1-5-2 x UFVS2012 were genotyped and cultivated in Viçosa-MG, using randomized block design with three replications. QTL detection was carried out by linear regression and composite interval mapping. Thirty molecular markers linked to QTL were detected by linear regression for the total of nine agronomic traits. QTL for SWP (seed weight per plant), W100S (weight of 100 seeds), NPP (number of pods per plant), and NSP (number of seeds per plant) were detected by composite interval mapping. Four QTL with additive effect are promising for marker-assisted selection (MAS). Particularly, the markers Satt155 and Satt300 could be useful in simultaneous selection for greater SWP, NPP, and NSP.
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spelling QTL mapping for yield components and agronomic traits in a Brazilian soybean populationGlycine maxyieldquantitative trait locusmicrosatellite markersAbstract The objective of this work was to map QTL for agronomic traits in a Brazilian soybean population. For this, 207 F2:3 progenies from the cross CS3035PTA276-1-5-2 x UFVS2012 were genotyped and cultivated in Viçosa-MG, using randomized block design with three replications. QTL detection was carried out by linear regression and composite interval mapping. Thirty molecular markers linked to QTL were detected by linear regression for the total of nine agronomic traits. QTL for SWP (seed weight per plant), W100S (weight of 100 seeds), NPP (number of pods per plant), and NSP (number of seeds per plant) were detected by composite interval mapping. Four QTL with additive effect are promising for marker-assisted selection (MAS). Particularly, the markers Satt155 and Satt300 could be useful in simultaneous selection for greater SWP, NPP, and NSP.Crop Breeding and Applied Biotechnology2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332016000400265Crop Breeding and Applied Biotechnology v.16 n.4 2016reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332016v16n4a41info:eu-repo/semantics/openAccessRodrigues,Josiane Isabela da SilvaMiranda,Fábio Demolinari dePiovesan,Newton DenizFerreira,AdésioFerreira,Marcia Flores da SilvaCruz,Cosme DamiãoBarros,Everaldo Gonçalves deMoreira,Maurilio Alveseng2016-12-19T00:00:00Zoai:scielo:S1984-70332016000400265Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2016-12-19T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse
dc.title.none.fl_str_mv QTL mapping for yield components and agronomic traits in a Brazilian soybean population
title QTL mapping for yield components and agronomic traits in a Brazilian soybean population
spellingShingle QTL mapping for yield components and agronomic traits in a Brazilian soybean population
Rodrigues,Josiane Isabela da Silva
Glycine max
yield
quantitative trait locus
microsatellite markers
title_short QTL mapping for yield components and agronomic traits in a Brazilian soybean population
title_full QTL mapping for yield components and agronomic traits in a Brazilian soybean population
title_fullStr QTL mapping for yield components and agronomic traits in a Brazilian soybean population
title_full_unstemmed QTL mapping for yield components and agronomic traits in a Brazilian soybean population
title_sort QTL mapping for yield components and agronomic traits in a Brazilian soybean population
author Rodrigues,Josiane Isabela da Silva
author_facet Rodrigues,Josiane Isabela da Silva
Miranda,Fábio Demolinari de
Piovesan,Newton Deniz
Ferreira,Adésio
Ferreira,Marcia Flores da Silva
Cruz,Cosme Damião
Barros,Everaldo Gonçalves de
Moreira,Maurilio Alves
author_role author
author2 Miranda,Fábio Demolinari de
Piovesan,Newton Deniz
Ferreira,Adésio
Ferreira,Marcia Flores da Silva
Cruz,Cosme Damião
Barros,Everaldo Gonçalves de
Moreira,Maurilio Alves
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Rodrigues,Josiane Isabela da Silva
Miranda,Fábio Demolinari de
Piovesan,Newton Deniz
Ferreira,Adésio
Ferreira,Marcia Flores da Silva
Cruz,Cosme Damião
Barros,Everaldo Gonçalves de
Moreira,Maurilio Alves
dc.subject.por.fl_str_mv Glycine max
yield
quantitative trait locus
microsatellite markers
topic Glycine max
yield
quantitative trait locus
microsatellite markers
description Abstract The objective of this work was to map QTL for agronomic traits in a Brazilian soybean population. For this, 207 F2:3 progenies from the cross CS3035PTA276-1-5-2 x UFVS2012 were genotyped and cultivated in Viçosa-MG, using randomized block design with three replications. QTL detection was carried out by linear regression and composite interval mapping. Thirty molecular markers linked to QTL were detected by linear regression for the total of nine agronomic traits. QTL for SWP (seed weight per plant), W100S (weight of 100 seeds), NPP (number of pods per plant), and NSP (number of seeds per plant) were detected by composite interval mapping. Four QTL with additive effect are promising for marker-assisted selection (MAS). Particularly, the markers Satt155 and Satt300 could be useful in simultaneous selection for greater SWP, NPP, and NSP.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-01
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=S1984-70332016000400265
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332016000400265
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1984-70332016v16n4a41
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.16 n.4 2016
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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