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为了给小麦根系性状的遗传改良提供参考依据,以196份小麦自然群体为材料,于2013年拔节期和2014年越冬前、拔节期统计其次生根数,利用185对SSR标记对其进行基因型分析,采用TASSLE软件的GLM和MLM模型进行标记与性状的关联分析。结果表明,两种模型共同关联到32个显著标记位点,分布于14条染色体上。其中Barc81(1BL)、Wmc617(4DS)和Gwm190(5DS)在不同环境下表现稳定,且前人未曾报道。进一步对稳定位点进行有利等位变异分析,共挖掘出3个有利等位变异,其中Barc81-A180增效效应最大,同时鉴定出烟农24、烟农2415及冀麦34等20份材料携带有利等位变异。
In order to provide reference for the genetic improvement of wheat root traits, 196 wheat natural populations were used as materials to analyze the second rooting number at the jointing stage in 2013 and before the winter jointing stage in 2014, and 185 SSR markers were used to genotype the genetic analysis , Using TASSLE software GLM and MLM model for marker and trait correlation analysis. The results showed that the two models were associated with 32 significant marker sites and distributed on 14 chromosomes. Among them, Barc81 (1BL), Wmc617 (4DS) and Gwm190 (5DS) were stable in different environments, and have not been reported before. Further analysis of the favorable alleles of the stable loci revealed three favorable alleles, of which Barc81-A180 had the strongest synergistic effect and identified 20 materials such as tobacco growers 24, tobacco farmers 2415 and Ji-mai 34 and so on. Bit variation.