Genetic Linkage Map Construction And QTL Analysis Of Important Agronomic And Quality Traits In Rapeseed(Brassica Napus L.)

Rapeseeds(napus brassica L.) are a widely cultivated oilseed crop around the world;it has the biggest planting area in China.Rapeseed oil is a major source of eatable oil and an important industrial material,and its' meal is a valuable animal feed which rich in protein.A F2 segregating population for genetic map construction and identification of rapeseed(brassica napus L.) seed yield quantitative loci,was developed via crossing of a rapeseed line 04-1139 with a rapeseed line 05-1054.some major QTLs of them were used for MAS and combinable breeding.The results are following:Construction of the genetic linkage map219 polymorphic loci,including 178 SRAP markers and 41 SSR markers,be employed to constraction linkage map.200 markers(165 SRAP markers and 35 SSR markers) were mapped to 19 linkage groups with an average length of 8.50 cM.The map covered a total of 1700.3 cM.Analysis of QTL effects based on interval mappingFive QTLs which have effected plant height were identified by interval mapping (IM).This QTLs explaining 2.1-15.4%of the the phenotype variance.Seven QTLs which have affected length of main inflorescence were detected with explaining 5.21-8.23%of the phenotype variation.Four QTLs which have affected nunber of siliqu were detected by IM with explaining 15.7-28.1%of the phenotype variance. Five QTLs which have affected number per siliqu were detected with one QTL explaining 7.37-24.87%of the phenotype variance.Only one QTLs of effecting kilo-seeds weight were detected with explaining 5.27%of kilo-seeds weight variance. Three QTLs of effecting oleic acid content were detected with one QTL explaining 5.39-5.96%of the phenotype variance.Two QTLs of effecting linoleic acid content were detected with one QTL explaining 0.62-1.22%of the phenotype variance.2 QTLs which have affected linolenic acid content were detected with one QTL explaining 2.21-2.65%of the phenotype variance.Six QTLs of effecting Oil content were detected with one QTL explaining 2.32-24.37%of the phenotype variance.Analysis of QTL effects based on composite interval mappingFive QTLs of effecting plant height were identified by composite interval mapping(CIM) with all of the QTL explaining 44.19%of the plant height variance and 5 QTLs of effecting length of main inflorescence were detected with explaining 92.8%of the phenotype variance.Four QTLs of effecting number of siliqu were detected by CIM with explaining 70.3%of the phenotype variance.Eight QTLs of effecting number per siliqu were detected with explaining 71.68%of the phenotype variance.Only one QTLs of effecting kilo-seeds weight were detected with explaining 10.23%of the phenotype variance.Three QTLs of effecting oleic acid content were detected with explaining 17.35%of oleic acid content variance.Four QTLs of effecting linoleic acid content were detected with explaining 5.98%of the phenotype variance.Two QTLs of effecting linolenic acid content were detected with explaining 4.58%of the phenotype variance.Five QTLs of effecting oil content were detected with total explaining 72.47%of total oil content variance.