Genetic analysis and QTL mapping for agronomic and yield-related traits in Ciherang-sub1 rice backcross populations

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cg.contributor.affiliationBogor Agricultural Universityen
cg.contributor.affiliationIndonesian Center for Rice Researchen
cg.contributor.affiliationInternational Rice Research Instituteen
cg.contributor.affiliationYanco Agricultural Instituteen
cg.identifier.doihttps://doi.org/10.9787/pbb.2018.6.3.177en
cg.issn2287-9358en
cg.issue3en
cg.journalPlant Breeding and Biotechnologyen
cg.volume6en
dc.contributor.authorPramudyawardani, Estria F.en
dc.contributor.authorAswidinnoor, Hajrialen
dc.contributor.authorPurwoko, Bambang S.en
dc.contributor.authorSuwarno, Willy B.en
dc.contributor.authorIslam, M.R.en
dc.contributor.authorVerdeprado, Holdenen
dc.contributor.authorCollard, Bertrand C. Y.en
dc.date.accessioned2024-12-19T12:54:20Zen
dc.date.available2024-12-19T12:54:20Zen
dc.identifier.urihttps://hdl.handle.net/10568/164813
dc.titleGenetic analysis and QTL mapping for agronomic and yield-related traits in Ciherang-sub1 rice backcross populationsen
dcterms.abstractHigher productivity of new varieties is the most common target for breeders. The discovery of new quantitative trait loci (QTLs) for important traits is an effective method to support this goal. The variety Ciherang has been dominant in Indonesia for many decades. The objective of this study was to identify QTLs for agronomic and yield-related traits, especially those derived from elite variety Ciherang-Sub1. The SNP and SSR markers were used to construct a framework map for preliminary QTL analysis. In total, the 104 markers resulted in the identification of 17 QTLs from 149 backcross families. One QTL (qPH1.1) was identified in the same position across seasons. Six QTLs were confirmed by combined analysis, namely: qHd1c, qDTF3.1, qDTF11.1, qGW3.1, qGW11.1, and qY1.1. One QTL (qgy10.1) was identified from combined analysis, while 9 others were identified from one season trial, namely: qDTF1.1, qHD-6, qDTF11.2, qPH6.1, qUFG3.1, qUFG9.1, qGW2.1, qGW3.2, and qY4.1. The PVE were ranged from 4.1% to 59.5%. Five QTLs in this study were novel QTLs, namely: qDTF11.2, qUFG3.1, qUFG9.1, qGW11.1, and qY4.1. QTL alleles were detected from both parents. Interestingly, QTLs for yield were detected from the low yielding parent. These QTLs should be useful for molecular breeding in the future, since they represent elite genetic backgrounds. Importantly, the mapping populations were part of the breeding program and the best lines were advanced within the program. Furthermore, marker assisted selection (MAS) was used to make the mapping population, demonstrating an example of molecular genetics research fully integrated with actual breedingen
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationPramudyawardani, Estria F; Aswidinnoor, Hajrial; Purwoko, Bambang S; Suwarno, Willy B; Islam, M R; Verdeprado, Holden and Collard, Bertrand CY. 2018. Genetic analysis and QTL mapping for agronomic and yield-related traits in Ciherang-sub1 rice backcross populations. Plant Breed. Biotech., Volume 6 no. 3 p. 177-192en
dcterms.extentpp. 177-192en
dcterms.issued2018-09-01
dcterms.languageen
dcterms.licenseCC-BY-NC-4.0
dcterms.publisherKorean Society of Breeding Scienceen
dcterms.subjectallelesen
dcterms.subjectbackcrossingen
dcterms.subjectbreeding programmesen
dcterms.subjectgene mappingen
dcterms.subjectproductivityen
dcterms.subjectquantitative trait locien
dcterms.subjectselectionen
dcterms.subjectsimple sequence repeatsen
dcterms.subjectvarietiesen
dcterms.typeJournal Article

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