QTL underlying some agronomic traits in barley detected by SNP markers

BMC Genetics

Research Article

Genlou Sun¹  Lipan Liu²  Binbin Du²  Xifeng Ren²  Qifei Wang²  Jibin Wang²  Dongfa Sun³  Chengdao Li⁴ 

[1] Biology Department, Saint Mary’s University, 923 Robie Street, B3H 3C3, Halifax, NS, Canada;College of Plant Science and Technology, Huazhong Agricultural University, 430070, Wuhan, China;College of Plant Science and Technology, Huazhong Agricultural University, 430070, Wuhan, China;Hubei Collaborative Innovation Center for Grain Industry, 434025, Jingzhou, Hubei, China;Department of Agriculture & Food/Agricultural Research Western Australia, 3 Baron-Hay Court, 6155, South Perth, WA, Australia;

关键词: Barley;    High density linkage map;    Single nucleotide polymorphism;    Grain yield;    Agronomic traits;   

DOI  :  10.1186/s12863-016-0409-y

 received in 2016-03-16, accepted in 2016-06-24,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundIncreasing 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 × 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).ResultsIn 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 × 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.ConclusionsThree 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.

【 授权许可】

CC BY   
© The Author(s). 2016