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Mapping QTLs of traits contributing to yield and analysis of genetic effects in tetraploid cotton

机译:四倍体棉花性状的QTL定位及遗传效应分析

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Fiber yield and yield components – including lint index (LI), seed index (SI), lint yield (LY), seed cotton yield (SCY) and number of seeds per boll (NSPB) – were investigated on the farm of Huazhong Agricultural University in a population of 69 F2 individuals and corresponding F2:3 families derived from a cross between high-fiber-yield Gossypium hirsutum CV Handan 208 and a low-fiber-yield Gossypium barbadense CV Pima 90. On the basis of the genetic map constructed previously from the same population by Lin et al. (Plant Breed., 2005), quantitative trait locus (QTL) analysis was performed with the software QTL Cartographer V2.0 using composite interval mapping method (LOD ≥ 3.0). A total of 21 QTLs were identified, which were located in 15 linkage groups. The number of QTLs per trait ranged from one to seven. Of these QTLs detected, one affecting LI explained 24.3% of phenotypic variation (PV), five influencing SI explained 16.15–39.21% of PV, seven controlling LY explained 13.01–28.35% of PV, and two controlling SCY explained 22.76 and 39.97% of PV, respectively. Simultaneously, the detected six QTLs for NSPB were located on five linkage groups, which individually explained 28.01–38.32% of the total phenotypic variation. The results would give breeders further insight into the genetic basis of fiber yield.
机译:在华中农业大学农场调查了纤维产量和产量组成,包括皮棉指数(LI),种子指数(SI),皮棉产量(LY),籽棉产量(SCY)和每铃种子数(NSPB)。在69个F2 个体和相应的F2:3 族群中,它们来自高纤维产量的陆地棉Chandan 208和低纤维产量的热带棉Barbadense CV Pima 90之间的杂交。林等人以前从同一人群构建的遗传图谱的基础。 (Plant Breed。,2005年),使用复合区间作图法(LOD≥3.0),使用软件QTL Cartographer V2.0进行了定量性状基因座(QTL)分析。总共鉴定出21个QTL,它们位于15个连锁群中。每个性状的QTL数量为1到7。在检测到的这些QTL中,一个影响LI的解释了24.3%的表型变异(PV),五个影响SI的解释了PV的16.15–39.21%,七个控制LY解释了PV的13.01-28.35%,两个控制SCY解释了22.76和39.97%。 PV,分别。同时,检测到的六个NSPB QTL位于五个连锁群上,分别解释了总表型变异的28.01–38.32%。结果将使育种者进一步了解纤维产量的遗传基础。

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