WANG Wan
College of Agriculture, Yangtze University,Hubei JingzhouHAN De-zhi
Soybean Research Center, Heihe Institute, Heilongjiang Academy of Agricultural SciencesYAN Hong-rui
Soybean Research Center, Heihe Institute, Heilongjiang Academy of Agricultural SciencesLUAN Xiao-yan
Soybean Research Institute, Heilongjiang Academy Agricultural of ScienceWANG Jun
College of Agriculture, Yangtze University,Hubei JingzhouQIU Li-juan
National Key Facility for Crop Gene Resources and Genetic Improvement / Key Laboratory of Soybean Biology in Beijing (MOA) / Institute of Crop Sciences, Chinese Academy of Agricultural Sciences1.College of Agriculture, Yangtze University,Hubei Jingzhou;2.Soybean Research Center, Heihe Institute, Heilongjiang Academy of Agricultural Sciences;3.Soybean Research Institute, Heilongjiang Academy Agricultural of Science;4.National Key Facility for Crop Gene Resources and Genetic Improvement / Key Laboratory of Soybean Biology in Beijing (MOA) / Institute of Crop Sciences, Chinese Academy of Agricultural Sciences
Innovation project of Chinese Academy of Agricultural Sciences; Scientific Research project of Heilongjiang Academy of Agricultural Sciences(2017XQ04); open fund of Engineering Research Center of Ecology and Agricultural Use of Wetland, Ministry of Education (KF201808)
The protein content in soybean is genetically controlled by multiple genes. Identification of the quantitative traits (QTL) associating with this trait will benefit for a practice use in soybean breeding. In this study, a backcross population consisting of 384 lines was derived from a cross of elite cultivar Heihe50 as recurrent parent and high protein accession ZhongYin1106 as donor parent. The protein content of parents and the offspring segregants was detected by Near-infrared spectrometer, and genotyping was conducted with SSR molecular markers. A genetic linkage map was constructed by software QTL ICIMapping4.1. Nine QTL associating with protein content were revealed, including seven QTL detecting by interval mapping (IM) and 3 QTLs detecting by inclusive composite interval mapping (ICIM). One QTL qPro-8-1, which was located in a 218.71kb interval of markers SSR_50 and SSR_51, can explain 2.26% and 7.85% phenotype variance using both IM and ICIM mapping methods, respectively. The locus qPro-8-1 is genetically independent of other QTL of protein content. Thus, this work provided elite materials and theoretical foundation in molecular breeding for high-protein soybean varieties.