Mapping dynamic QtL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley

Show simple item record

dc.creator Du, Binbin
dc.creator Wang, Qifei
dc.creator Sun, Genlou
dc.creator Ren, Xifeng
dc.creator Cheng, Yun
dc.creator Wang, Yixiang
dc.creator Gao, Song
dc.creator Li, Chengdao
dc.creator Sun, Dongfa
dc.date.accessioned 2022-05-02T16:37:10Z
dc.date.available 2022-05-02T16:37:10Z
dc.date.issued 2019-12-11
dc.identifier.issn 2045-2322
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/30901
dc.description Published version en_CA
dc.description.abstract Grain filling is an important growth process in formation of yield and quality for barley final yield determination. To explore the grain development behavior during grain filling period in barley, a high-density genetic map with 1962 markers deriving from a doubled haploid (DH) population of 122 lines was used to identify dynamic quantitative trait locus (QTL) for grain filling rate (GFR) and five grain size traits: grain area (GA), grain perimeter (GP), grain length (GL), grain width (GW) and grain diameter (GD). Unconditional QTL mapping is to detect the cumulative effect of genetic factors on a phenotype from development to a certain stage. Conditional QTL mapping is to detect a net effect of genetic factors on the phenotype at adjacent time intervals. Using unconditional, conditional and covariate QTL mapping methods, we successfully detected 34 major consensus QTLs. Moreover, certain candidate genes related to grain size, plant height, yield, and starch synthesis were identified in six QTL clusters, and individual gene was specifically expressed in different grain filling stages. These findings provide useful information for understanding the genetic basis of the grain filling dynamic process and will be useful for molecular marker-assisted selection in barley breeding. en_CA
dc.description.provenance Submitted by Sherry Briere (sherry.briere@smu.ca) on 2022-05-02T16:37:10Z No. of bitstreams: 1 Sun_Genlou_article_2019_d.pdf: 3590787 bytes, checksum: f7d4e40d052e13f847fcf6a9af866da9 (MD5) en
dc.description.provenance Made available in DSpace on 2022-05-02T16:37:10Z (GMT). No. of bitstreams: 1 Sun_Genlou_article_2019_d.pdf: 3590787 bytes, checksum: f7d4e40d052e13f847fcf6a9af866da9 (MD5) Previous issue date: 2019-12-11 en
dc.language.iso en_CA en_CA
dc.publisher Springer Nature en_CA
dc.relation.uri https://doi.org/10.1038/s41598-019-53620-5
dc.rights © The Author(s) 2019. <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/80x15.png" /></a> This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>
dc.subject.lcsh Barley -- Genetics
dc.subject.lcsh Agricultural genome mapping
dc.subject.lcsh Barley -- Yields
dc.title Mapping dynamic QtL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley en_CA
dc.type Text en_CA
dcterms.bibliographicCitation Scientific Reports 9(1): 18823. (2019) en_CA
 Find Full text

Files in this item


 

Copyright statement:

 
© The Author(s) 2019. Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License
 
Published Version: https://doi.org/10.1038/s41598-019-53620-5
 
 

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account