dc.creatorGuindon, María Fernanda
dc.creatorMartin, Eugenia Alejandra
dc.creatorCravero, Vanina Pamela
dc.creatorGali, Krishna K.
dc.creatorWarkentin, Thomas D.
dc.creatorCointry Peix, Enrique Luis
dc.date.accessioned2022-07-27T13:04:37Z
dc.date.accessioned2022-10-15T04:57:24Z
dc.date.available2022-07-27T13:04:37Z
dc.date.available2022-10-15T04:57:24Z
dc.date.created2022-07-27T13:04:37Z
dc.date.issued2019-04
dc.identifierGuindon, María Fernanda; Martin, Eugenia Alejandra; Cravero, Vanina Pamela; Gali, Krishna K.; Warkentin, Thomas D.; et al.; Linkage map development by GBS, SSR, and SRAP techniques and yield-related QTLs in pea; Springer; Molecular Breeding; 39; 4; 4-2019; 1-16
dc.identifier1380-3743
dc.identifierhttp://hdl.handle.net/11336/163241
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4347290
dc.description.abstractThe knowledge of the genetic basis of yield-related traits provides useful information for pea (Pisum sativum L.) breeding. The aim of this work was to develop a genetic linkage map of pea using SRAP (sequence-related amplified polymorphism), SSR (simple sequence repeat), and SNP (single-nucleotide polymorphism) markers and to identify QTLs (quantitative trait loci) controlling yield-related traits. An F2 mapping population and their F2:3 families were derived from an initial cross between cvs. Explorer and DDR14. The F2 individuals were evaluated with SRAP, SSR, and GBS techniques, which proved to be efficient, generating a set of 872 polymorphic markers for linkage mapping. The resulting map consisted of 128 genetic markers distributed in 9 linkage groups (LGs), covering 655.5 cM. The length of the LGs ranged from 49.1 to 114.8 cM, with 8 to 26 markers. QTL detection was performed using the composite interval mapping (CIM) method. A total of 45 QTLs were detected through the generations and environments evaluated. All of them were major QTLs that explain more than 10% of the phenotypic variation. The comparison among QTLs detected in the F2 population and F2:3 families in the two environments allowed assessing the consistency of two QTLs for pod width. On the other hand, the analysis of previous works allowed the identification of a common region in LG 3 associated with seed weight in different crosses and environments.
dc.languageeng
dc.publisherSpringer
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11032-019-0949-8
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11032-019-0949-8
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectGBS
dc.subjectLINKAGE MAP
dc.subjectPISUM SATIVUM
dc.subjectQTLS
dc.subjectSRAP
dc.subjectSSR
dc.titleLinkage map development by GBS, SSR, and SRAP techniques and yield-related QTLs in pea
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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