小麦粒重相关分子标记Xgwm46等位变异的鉴定与评价

Identification and Evaluation of Molecular Marker Xgwm46Allelic Variations Associated with Kernel Weight in Wheat

为评价粒重相关SSR标记Xgwm46在小麦分子育种工作中的应用效果,以442份黄淮麦区小麦品种(系)为材料,鉴定了Xgwm46标记等位变异类型及其分布频率,分析了Xgwm46标记等位变异类型与千粒重、粒长、粒宽和籽粒面积的关联性,并进一步探讨了各种等位变异的育种价值。结果表明,Xgwm46标记可以检测出A、B、C三种类型的等位变异,分布频率分别为31.90%、55.20%和12.90%。关联分析表明,B类型与C类型材料的千粒重(P<0.001)、粒长(P<0.05)、粒宽(P<0.001)和籽粒面积(P<0.001)等粒重性状的差异都达到显著水平,而且B类型与粒重性状均呈显著正相关,C类型与粒重性状均呈显著负相关。B类型比C类型的材料平均粒长长0.16mm,粒宽宽0.10mm,籽粒面积大0.81mm2,千粒重重1.98g,其等位变异效应较突出。总之,Xgwm46标记适合用于小麦粒重农艺性状的鉴定与筛选,其中,B类型是粒重性状优异的等位变异,可应用于小麦分子标记辅助选择育种。

In order to evaluate the application value of SSR marker Xgwm46 associated with kernel weight in breeding,442 wheat varieties （lines） in Yellow-Huai River Valley Winter Wheat Zone were genotyped using Xgwm46 to determine the allelic variation types and frequencies.Furthermore,the correlation analysis between Xgwm46 allelic variations and thousand kernel weight （TKW）,kernel length （KL）,kernel width （KW） and kernel area （KA） was conducted,and the value of each allelic variation in breeding was discussed.The results showed that a total of three types of allelic variation （A,B and C） can be detected by Xgwm46,and the frequencies were 31.90%,55.20% and 12.90%,respectively.Correlation analysis showed that significant difference was found in TKW （P〈0.001）,KL （P〈0.05）,KW （P〈0.001） and KA （P〈0.001） between B and C allelic variations,and significantly positive correlation was also found between B allelic variation and kernel weight traits,while significantly negative correlation was found between C allelic variation and kernel weight traits.Phenotypic changes of kernel traits showed that KL,KW,KA,and TKW of B allelic variation was 0.16 mm,0.10 mm,0.81 mm and 1.98 g more than those of C allelic variation,respectively,which indicated the positive effect of B allelic variation was significant.In conclusion,SSR marker Xgwm46 was effective for selecting agronomic characters of kernel weight,in which B allelic variation was superior allele for the kernel weight and its constituent elements.The study provides useful information for marker-assisted selection breeding.