Mapping and Meta-Analysis of Height QTLs in Soybean  

Ya'nan Sun1 , Huaihai Luan2 , Zhaoming Qi1 , Dapeng Shan4 , Chunyan Liu1,2 , Guohua Hu2,3 , Qingshan Chen1
1. Northeast Agricultural University, Harbin, 150030, P.R. China
2. The Crop Research and Breeding Center of Land-Reclamation, Harbin, 150090, P.R. China
3. The National Research Center of Soybean Engineering and Technology, Harbin, 150030, P.R. China
4. HeilongjiangAcademy of Agricultural Sciences, Suihua Institute, Suihua, 152052, P.R. China
Author    Correspondence author
Legume Genomics and Genetics, 2012, Vol. 3, No. 1   doi: 10.5376/lgg.2012.03.0001
Received: 19 Dec., 2011    Accepted: 13 Jan., 2012    Published: 16 Jan., 2012
© 2012 BioPublisher Publishing Platform
This article was first published in Molecular Plant Breeding in Chinese, and here was authorized to translate and publish the paper in English under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Sun et al., 2012, Mapping and Meta-Analysis of Height QTLs in Soybean, Legume Genomics and Genetics, Vol.3, No.1 1-7 (doi: 10.5376/lgg.2012.03.0001)

Abstract

Plant height is one of very complicated quantitative traits of soybean yield and the phenotype data is variable to environment. Since molecular marker technology appeared, many studies about soybean height QTL have been reported. In this study, we analyzed QTLs data of soybean height between 2006 and 2008 with a recombination inbred lines (RIL) population derived from a cross between Charleston and Dongnong 594 by mixed linear model approach. The results showed that 15 QTLs for plant height were mapped in the linkage group (LG) B1, LG D1a, LG G by software Windows QTL Cartographer Ver. 2.5. Furthermore, another 78 QTLs of plant height mapped in different populations and environments were collected, combined with the QTLs above, projected and integrated the reference map with the software BioMercator2.1. Finally, a total of 12 consensus QTLs and their corresponding markers were obtained respectively. The minimum CI was shrunk to 0.24 cM. These results would lay the foundation for mapping plant height QTL genes precisely in soybean in future.

Keywords
Soybean [Glycine max (L.) Merr.]; Plant Height; QTL mapping; Meta-analysis
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