摘要
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。
To provide important information for the genetic improvement of root traits,a total of 185 SSR markers were used to analyze the genotype of the number of secondary roots in a natural population with 196 wheat accessions,which was measured before overwintering and during elongation stage in 2012-2013 and 2013-2014 growth seasons.Association between molecular markers and the number of second roots were conducted by using GLM and MLM.The results showed that 32 markers located in 14 chromosomes were significantly associated with the number of secondary roots in wheat.The loci associated with Barc81(1BL),Wmc617(4DS)and Gwm190(5DS)could be detected steadily under different environments.Three elite alleles were further explored among the above stable loci,and Barc81-A180 had the strongest effect on increasing the number of secondary roots.In addition,twenty wheat materials(e.g.Yannong 24,Yannong 2415 and Jimai 34)carrying elite allelic variations were identified.
出处
《麦类作物学报》
CAS
CSCD
北大核心
2014年第12期1627-1632,共6页
Journal of Triticeae Crops
基金
国家现代农业产业技术体系项目(CARS-03)
安徽省小麦产业技术体系项目
安徽省高等学校省级自然科学研究项目(KJ2012A108)
国家公益性行业科技专项(201203033-04)
关键词
小麦
产量
次生根
关联分析
分子标记
Triticum aestivum L
Yield
Secondary root
Association analysis
Molecular marker