Analysis Of QTLs Associated With Dry-Hot Wind Tolerance In Wheat(Triticum Aestivum L.)

Dry-hot wind was one of the abiotic stress as which seriously impacted the yield andquality of wheat．Understand the molecular and genetic mechanisms of dry-hot windresistance are important to the food security and the sustainable development of Agriculturein China. Molecular tagging of QTLs for dry-hot wind resistance traits in wheat will providea basis for study on molecular marker-assisted selection and cloning of dry-hot windresistance related genes. The results provide theoretic and substance basis for developmentdry-heat wind resistant varieties. The main result summarized follow．1. The dry-hot wind resistance wheat variety "Gao Yuan602" and dry-hot windsensitive variety "Ai16" were used as parents and a F2mapping population with143individuals was constructed.The results of material analysis showed that the phenotype dataof population displayed basically corresponds with normalized distribution, embodies acharacteristic ofquantitative genes control. That suggested that the constructed F2populationwas an ideal population for linkage mapping analysis.2. A molecular linkage map was constructed by SSR marker. Screening pairs of525SSR primers from different sources for the parents, and39SSR primers were selected forfurther analysis143of F2lines by using the39SSR primers. Referenced for the existing SSRmap of wheat and QTL software to found out the genetic distance. A genetic map which isincluded42makers was constracted.The42QTLs were detected from16chromosomes1A,2A,5A,6A,7A,1B,2B,3B,4B,5B,7B,1D,3D,4D,5D and7D reference.3. Based on SSR molecular marker genetic map and QTL software ICIM QTLIciMapping, a total of16QTLs were detected for stem length, effective tiller, uniformity,awn, spikelet number, seed color, plumpness and peduncle length from8chromosomes,1A,2A,5A,6A,7A,1B,2B,3B,4B,5B,7B,1D,3D,4D,5D and7D. Those QTLs were able toexplain5.4349%-62.8739%of phenotypic variation. The additive effects of3QTLs werepositivly from "Gao Yuan602" increasing the effects, while additive effects of13QTLswere from "Ai16". The dominant effects of10QTLs were positive effects, LOD valueswere between2.5005-14.0135.4. The data showed that the regions gwm131-wmc406on1B, gwm186-gwm126on5A,gwm108-barc344and barc344-gwm156on3B, gwm372-gwm47on2A, gwm190-cfd57on5D were common regions shared by multi-traits. They were crucial regions for furtherelucidating genetic analysis of drought-tolerant traits.