dc.creator | Guindon, María Fernanda | |
dc.creator | Martin, Eugenia Alejandra | |
dc.creator | Cravero, Vanina Pamela | |
dc.creator | Gali, Krishna K. | |
dc.creator | Warkentin, Thomas D. | |
dc.creator | Cointry Peix, Enrique Luis | |
dc.date.accessioned | 2022-07-27T13:04:37Z | |
dc.date.accessioned | 2022-10-15T04:57:24Z | |
dc.date.available | 2022-07-27T13:04:37Z | |
dc.date.available | 2022-10-15T04:57:24Z | |
dc.date.created | 2022-07-27T13:04:37Z | |
dc.date.issued | 2019-04 | |
dc.identifier | Guindon, 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.identifier | 1380-3743 | |
dc.identifier | http://hdl.handle.net/11336/163241 | |
dc.identifier | CONICET Digital | |
dc.identifier | CONICET | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4347290 | |
dc.description.abstract | The 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.language | eng | |
dc.publisher | Springer | |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s11032-019-0949-8 | |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s11032-019-0949-8 | |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | GBS | |
dc.subject | LINKAGE MAP | |
dc.subject | PISUM SATIVUM | |
dc.subject | QTLS | |
dc.subject | SRAP | |
dc.subject | SSR | |
dc.title | Linkage map development by GBS, SSR, and SRAP techniques and yield-related QTLs in pea | |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:ar-repo/semantics/artículo | |
dc.type | info:eu-repo/semantics/publishedVersion | |