QTL underlying some agronomic traits in barley detected by SNP markers

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dc.creator Wang, Jibin
dc.creator Sun, Genlou
dc.creator Ren, Xifeng
dc.creator Li, Chengdao
dc.creator Liu, Lipan
dc.creator Wang, Qifei
dc.creator Du, Binbin
dc.creator Sun, Dongfa
dc.date.accessioned 2018-01-23T14:31:10Z
dc.date.available 2018-01-23T14:31:10Z
dc.date.issued 2016-07-07
dc.identifier.issn 1471-2156
dc.identifier.uri http://library2.smu.ca/handle/01/27249
dc.description Publisher's Version/PDF
dc.description.abstract Background: Increasing the yield of barley (Hordeum vulgare L.) is a main breeding goal in developing barley cultivars. A high density genetic linkage map containing 1894 SNP and 68 SSR markers covering 1375.8 cM was constructed and used for mapping quantitative traits. A late-generation double haploid population (DH) derived from the Huaai 11×Huadamai 6 cross was used to identify QTLs and QTL x environment interactions for ten traits affecting grain yield including length of main spike (MSL), spikelet number on main spike (SMS), spikelet number per plant (SLP), grain number per plant (GP), grain weight per plant (GWP), grain number per spike (GS), thousand grain weight (TGW), grain weight per spike (GWS), spike density (SPD) and spike number per plant (SP). Results: In single environment analysis using composite interval mapping (CIM), a total of 221 QTLs underlying the ten traits were detected in five consecutive years (2009–2013). The QTLs detected in each year were 50, 48, 41, 41 and 41 for the year 2009 to 2013. The QTLs associated with these traits were generally clustered on chromosome 2H, 4H and 7H. In multi-environment analysis, a total of 111 significant QTLs including 18 for MSL, 16 for SMS, 15 for SPD, 5 for SP, 4 for SLP, 14 for TGW, 5 for GP, 11 for GS, 8 for GWP, and 15 for GWS were detected in the five years. Most QTLs showed significant QTL x environment interactions (QEI), nine QTLs (qIMSL3-1, qIMSL4-1, qIMSL4-2, qIMSL6-1, qISMS7-1, qISPD2-7, qISPD7-1, qITGW3-1 and qIGWS4-3) were detected with minimal QEI effects and stable in different years. Among 111 QTLs,71 (63.40%) QTLs were detected in both single and multiple environments. Conclusions: Three main QTL cluster regions associated with the 10 agronomic traits on chromosome 2H, 4H and 7H were detected. The QTLs for SMS, SLP, GP and GWP were located in the region near Vrs1 on chromosome 2H. The QTLs underlying SMS, SPD and SLP were clustered on chromosome 4H. On the terminal of chromosome 7H, there was a QTL cluster associated with TGW, SPD, GWP and GWS. The information will be useful for marker-assisted selection (MAS) in barley breeding. en_CA
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dc.description.provenance Made available in DSpace on 2018-01-23T14:31:10Z (GMT). No. of bitstreams: 1 Wang_Jibin_article_2016.pdf: 1014666 bytes, checksum: 759b85cabcff07be164fc3f05ba0c2f9 (MD5) Previous issue date: 2016 en
dc.language.iso en en_CA
dc.publisher BioMed Central en_CA
dc.rights This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. See: https://creativecommons.org/licenses/by-sa/4.0/
dc.subject.lcsh Barley -- Genetics
dc.subject.lcsh Single nucleotide polymorphisms
dc.subject.lcsh Barley -- Yields
dc.title QTL underlying some agronomic traits in barley detected by SNP markers en_CA
dc.type Text en_CA
dcterms.bibliographicCitation BMC Genetics 17, 103. (2016) en_CA
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