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> |
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dc.subject.lcsh |
Barley -- Genetics |
|
dc.subject.lcsh |
Agricultural genome mapping |
|
dc.subject.lcsh |
Barley -- Yields |
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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 |