QTL Mapping of Yield Associated Traits of Nipponbare ×Zhongjiazao 17 RIL Population
ZHANG YingZhou;LUO RongJian;SHENG ZhongHua;JIAO GuiAi;TANG ShaoQing;HU PeiSong;WEI XiangJin;China National Rice Research Institute/Sate Key Laboratory of Rice Biology;College of Life and Environmental Sciences, Hangzhou Normal University;
【Objective】QTL mapping for yield traits were conducted with phenotype data collected from multi-environments, in order to identify stable QTL for yield traits and analyze the mechanism of high yield of super early indica rice Zhongjiazao 17, which will provide useful information for breeding of new varieties with higher yield and better comprehensive characteristics in rice. 【Method】A recombinant inbred lines(RILs) population derived from Nipponbare × Zhongjiazao 17 were used as experimental materials. Then a genetic linkage map was constructed by Mapmaker/EXP 3.0 based on the RILs genotypes which analyzed by polymorphism SSR markers. During 2015-2016, the RILs and two parents were grown in the experimental fields in Hangzhou, Hainan and Hangzhou. The agronomic characters including effective panicles, grain number per panicle, seed setting rate, 1 000-grain-weight, grain length, grain width and grain thickness and yield per plant were investigated. QTL mapping for these traits were detected by Windows QTL Cartographer 2.5 and environment interaction effect was detected by QTLNetwork2.2.【Result】The genetic map was constructed with 163 filtered SSR markers and covered about 1 479.4 c M with an average interval of 9.08 c M. The genotypes of male and female parent of 73.0% makers were segregated as 1﹕1; only 23.0% markers were distorted segregation which was inclined to Zhongjiazao 17. A total of 46 QTLs were mapped on all chromosomes except the 11 th with the contribution rate ranged from 3.78% to 25.45%. Ten QTLs, including q EP1, q EP2, q EP4a(QTL for effective panicles), q NGPE1, q NGPE7(for grain number per panicle), q SRT7(for seed setting rate), q TGW2(for 1 000-grain-weight), q GL3, q GL9(for grain length), q GW2b(for grain width) can be detected on all three environments. The increasing effective allele of q EP4 a, q NGPE1, q SRT7, q GL3, q GL9 and most QTL for grain number per panicle, seed setting rate, grain length and yield per plant come from Zhongjiazao 17. Furthermore, some QTLs about different traits exist as clusters on chromosome 1, 2, 7, respectively. Six yield associated traits QTL were also found can significantly interact with environment. 【Conclusion】 The linkage map of RIL derived from Nipponbare × Zhongjiazao 17 has abundant polymorphic makers which cover 93.64% of the rice whole genome, so it is very suitable for QTL mapping for important agronomic traits. Many stable QTLs about rice yield traits were detected using this mapping population, and among them, the alleles which can increase yield of many QTL of grain number per panicle, seed setting rate, grain length and yield per plant were from Zhongjiazao 17. The results were consistent with that the most of these yield traits of Zhongjiazao 17 were better than Nipponbare. These increasing effective alleles of yield associated traits QTL may be the genetic basis of stable high yield of Zhongjiazao 17.
【CateGory Index】： S511
【CateGory Index】： S511