摘要
利用关联分析方法以160对SSR引物对68份陆地棉品种2个播期组成的自然群体进行基因型检测,在利用STRUCTURE 2.3.4软件分析群体结构的基础上,采用TASSEL 4.0软件的GLM程序和MLM程序对17个农艺性状进行关联分析。结果显示,STRUCTURE群体结构分析将68份供试材料划分为3个亚群,基于Nei's遗传距离的聚类分析也将68份供试材料划分为3个亚群,与群体结构划分结果基本一致。6个SSR位点均能通过GLM和MLM程序检测到,且在2个播期下稳定出现,其中,CER0098-400与全生育期显著关联,DPL0375-250和HAU2414-147与果枝始节显著关联,DPL0504-135、HAU0883-120和NAU1298-524与衣分显著关联。本研究结果为棉花分子标记辅助选择提供了依据。
In this study, 68 samples of upland cotton sowed on two different dates were scanned using 160 pairs of SSR primers to perform association analysis of 17 agronomic traits, including those related to early maturity, yield and fiber quality, which are mostly quantitative traits. STRUCTURE 2.3.4 software was used to estimate the population structure of the 68 varieties, which could be divided into three subgroups. Cluster analysis based on Nei's genetic distance was almost identical to that the 68 samples could be divided into three subgroups. Using general linear model (GLM) and mixed linear model (MLM) to perform association analysis by TASSEL 4.0 software, six SSR loci were detected at the two sowing dates, of which CER0098-400 is extremely significantly associated with growth stage, DPL0375-250 and HAU2414-147 are extremely significantly associated with location of the first branch, three S SR loci, DPL0504-135, HAU0883-120 and NAU 1298-524, were extremely significantly associated with lint percentage. This research provides the bases for marker-assisted selection (MAS) in upland cotton breeding.
出处
《棉花学报》
CSCD
北大核心
2014年第5期387-395,共9页
Cotton Science
基金
国家高技术研究发展计划(2012AA101108)
国家现代农业产业技术体系棉花产业技术体系(CARS-18)
关键词
陆地棉
早熟性
产量性状
纤维品质
关联分析
upland cotton
early maturity
yield traits
fiber quality
association analysis