论文部分内容阅读
通过远缘杂交导入大刍草基因,创造玉米新种质,并对相关重要性状进行QTL定位,明确其QTL数目、位置和基因效应。以玉米自交系K169×1147构建的202个F2:3家系为作图群体,构建具有132对SSR标记的玉米遗传图谱,覆盖整个基因组1 979.6 cM,平均图距15.0 cM。利用完美区间作图法进行QTL定位分析,共检测到14个主要农艺和经济性状中的68个QTLs。其中,控制株高、穗位高和叶面积的有14个QTLs,单个性状的QTL为1～7个,每个QTL的作用可解释表型变异的1.71%～12.98%;影响雄穗性状的有11个QTLs,单个性状的QTL为3～8个,每个QTL的作用可解释表型变异的3.61%～14.87%;影响穗长等经济性状的有43个QTLs,单个性状的QTL为1～7个,每个QTL可解释的表型变异为3.87%～20.09%。
Introducing the gene of L. juncea by distant crosses to create new maize germplasm, and QTL mapping related important traits, the number of QTLs, location and gene effect were determined. A total of 202 F2: 3 pedigrees constructed from maize inbred line K169 × 1147 were used as mapping population to construct maize genetic map with 132 pairs of SSR markers covering the entire genome of 1 979.6 cM with an average distance of 15.0 cM. QTL mapping analysis using perfect interval mapping method detected a total of 68 QTLs in 14 major agronomic and economic traits. Among them, there were 14 QTLs controlling plant height, ear height and leaf area, 1 to 7 QTLs for single traits, and 1.71% ~ 12.98% of phenotypic variation explained by each QTL. There were 11 QTLs with 3 to 8 QTLs for each trait, and each QTL explained 3.61% -14.87% of the phenotypic variation. There were 43 QTLs affecting economic traits such as spike length and QTLs for 1 trait ~ 7, the phenotypic variation explained by each QTL is 3.87% ~ 20.09%.