dc.creatorLingli Li
dc.creatorBian, Y.
dc.creatorYan Dong
dc.creatorSong, J.
dc.creatorDan Liu
dc.creatorJianqi Zeng
dc.creatorFengju Wang
dc.creatorYong Zhang
dc.creatorHe Zhonghu
dc.creatorXia, X.
dc.creatorZhang, Y.
dc.creatorShuanghe Cao
dc.date2022-11-18T01:20:13Z
dc.date2022-11-18T01:20:13Z
dc.date2023
dc.date.accessioned2023-07-17T20:09:42Z
dc.date.available2023-07-17T20:09:42Z
dc.identifierhttps://hdl.handle.net/10883/22259
dc.identifier10.1016/j.cj.2022.09.012
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514014
dc.descriptionGrain weight and grain number are important yield component traits in wheat and identification of underlying genetic loci is helpful for improving yield. Here, we identified eight stable quantitative trait loci (QTL) for yield component traits, including five loci for thousand grain weight (TGW) and three for grain number per spike (GNS) in a recombinant inbred line population derived from cross Yangxiaomai/Zhongyou 9507 across four environments. Since grain size is a major determinant of grain weight, we also mapped QTL for grain length (GL) and grain width (GW). QTGW.caas-2D, QTGW.caas-3B, QTGW.caas-5A and QTGW.caas-7A.2 for TGW co-located with those for grain size. QTGW.caas-2D also had a consistent genetic position with QGNS.caas-2D, suggesting that the pleiotropic locus is a modulator of trade-off effect between TGW and GNS. Sequencing and linkage mapping showed that TaGL3-5A and WAPO-A1 were candidate genes of QTGW.caas-5A and QTGW.caas-7A.2, respectively. We developed Kompetitive allele specific PCR (KASP) markers linked with the stable QTL for yield component traits and validated their genetic effects in a diverse panel of wheat cultivars from the Huang-Huai River Valley region. KASP-based genotyping analysis further revealed that the superior alleles of all stable QTL for TGW but not GNS were subject to positive selection, indicating that yield improvement in the region largely depends on increased TGW. Comparative analyses with previous studies showed that most of the QTL could be detected in different genetic backgrounds, and QTGW.caas-7A.1 is likely a new QTL. These findings provide not only valuable genetic information for yield improvement but also useful tools for marker-assisted selection.
dc.description558-563
dc.languageEnglish
dc.publisherElsevier
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source2
dc.source11
dc.source2214-5141
dc.sourceCrop Journal
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectGrain Number Per Spike
dc.subjectKASP Markers
dc.subjectQTL Mapping
dc.subjectThousand Grain Weight
dc.subjectQUANTITATIVE TRAIT LOCI MAPPING
dc.subjectTRITICUM AESTIVUM
dc.subjectGRAIN
dc.subjectYIELD COMPONENTS
dc.subjectMARKER-ASSISTED SELECTION
dc.titleIdentification and validation of stable quantitative trait loci for yield component traits in wheat
dc.typeArticle
dc.typePublished Version
dc.coverageNetherlands


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