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dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.authorRodrigues, Josiane Isabela da Silva
dc.contributor.authorArruda, Klever Márcio Antunes
dc.contributor.authorPiovesan, Newton Deniz
dc.contributor.authorBarros, Everaldo Gonçalves de
dc.date.accessioned2019-07-02T19:46:39Z
dc.date.available2019-07-02T19:46:39Z
dc.date.issued2017-10-01
dc.identifier.issnISSN: 2323-0118
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/61044
dc.description.abstractThe aim of this research were to determine protein content and genetic divergence of soybean genotypes in QTL regions of the trait grain protein content for plant breeding purposes. Twenty-nine soybean genotypes were grown in the field in four environments (Viçosa-MG Dec/2009, Visconde do Rio Branco-MG Feb/2010, São Gotardo-MG Feb/2010, and São Gotardo-MG Oct/2011) using the randomized block design with three replicates. The grain protein content was quantified by the infrared spectrometry method. The genetic divergence was estimated by the analysis of 39 microsatellite markers from QTL regions for the soybean grain protein content. The pairs of genotypes with greater genetic distances and protein contents were as follows: BARC-8/CS3032PTA276-3-4 (D=0.71) (45.18%/44.31%); BARC-8/CS3032PTA276-1-2 (D=0.71) (45.18%/43.75%); BARC-8/CS3032PTA190-5-1 (D=0.71) (45.18%/43.63%); B3PTA382-2-10/CS3032PTA276-3-4 (D=0.62) (43.80%/44.31%); CS3032PTA276-1-2/B3PTA382-2-10 (D=0.62) (43.75%/43.80%); B3PTA382-2-10/CS3032PTA190-5-1 (D=0.62) (43.80%/43.63%); B3PTA216-1-9/CS3032PTA276-3-4 (D=0.61) (43.48%/44.31%); and B3PTA216-1-9/CS3032PTA276-1-2 (D=0.61) (43.48%/43.75%), respectively. Other promising combinations for the improvement of protein content were as follows: BR8014887/CS3032PTA190-5-1 (D=0.57) (44.71%/43.63%); BARC-8/CS3032PTA182 (D=0.78) (45.18%/41.84%); BR8014887/CS3032PTA182 (D=0.65) (44.71%/41.84%); BR8014887/PI417360 (D=0.76) (44.71%/41.01%), respectively; and PI417360/B3PTA216-1-9 (D=0.80) (41.01%/43.48%). These pairs of genotypes when crossed should produce populations with higher means and genetic variances and greater gains with selection.
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia - Sede Palmira
dc.relationhttps://revistas.unal.edu.co/index.php/acta_agronomica/article/view/57137
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Acta Agronómica
dc.relation.ispartofActa Agronómica
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc55 Ciencias de la tierra / Earth sciences and geology
dc.subject.ddc63 Agricultura y tecnologías relacionadas / Agriculture
dc.titlePlant pre-breeding for increased protein content in soybean Glycine max (L.) Merrill
dc.typeArtículo de revista
dc.type.driverinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.eprintshttp://bdigital.unal.edu.co/59852/
dc.relation.referencesRodrigues, Josiane Isabela da Silva and Arruda, Klever Márcio Antunes and Piovesan, Newton Deniz and Barros, Everaldo Gonçalves de (2017) Plant pre-breeding for increased protein content in soybean Glycine max (L.) Merrill. Acta Agronómica, 66 (4). 618 - 624. ISSN 2323-0118
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalPlant breeding
dc.subject.proposalmolecular markers
dc.subject.proposalQTL
dc.subject.proposalsoybean genotypes
dc.subject.proposalprotein contein
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit