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QTL analysis of yield components on soybean under different environment

LIU Chunyan1,2,QI Zhaoming2,HAN Dongwei3,SHAN Dapeng2,4,JIANG Hongwei1,CHEN Qingshan2,HU Guohua1(1.Land Reclamation Research and Breeding Centre of Heilongjiang,Harbin 150090,China;2.College of Agriculture,Northeast Agricultural University,Harbin 150030,China;3.Qiqihar Sub-academy,Heilongjiang Academy of Agricultural Sciences,Qiqihar Hei-longjiang 161041,China;4.Suihua Branch,Heilongjiang Academy of Agricultural Sciences,Suihua Heilongjiang 152052,China)  
Soybean is a major crop in the world,and its yield is important to improve the soybean development.Yield is a very complicated quantitative trait,existing interactions not only with gene by gene,but also gene by environment.Studying the interactions among genes,environment and finding the yield components QTLs expressed in given environment were of importance in practice for developing soybean planting.If consensus QTLs of yield components in different environment could be found,it would provide possibility for molecular breeding by marker assisted selection(MAS).The previous studies had identified many QTLs associated with yield and its component,but there was few QTL analysis on yield components under different environment.In order to find out steady and repeatable QTLs of these traits,a F2:14 RIL population containing 154 lines derived from cross between Charleston as female and Dongnong594 asmale parent were used in this experiment.A genetic linkage map was constructed with 164 SSR primers screened in two parents and amplified in 154 line population.Total 12 yield components showing polymorphic in parents were investigated and QTLs were analyzed.QTLs of all the traits were analyzed with software Windows QTL Cartographer V2.0.Under four different environment,12 yield components traits were investigated and 33 QTLs were analyzed.The yield of QTLs per trait varied from 1 to 9 under two environment.Total 6 QTLs had been found in two different environment,which were little affected by environment,were stable QTLs.Most of the QTLs were detected in the single environment,indicating the significant interactions between QTL and environment.Good accordance was displayed in many QTLs between our results and those obtained by related studies.These QTLs might provide the valuable information for soybean molecular marker assistant breeding selection.
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