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为研究自然群体中大豆品种的油分和蛋白质含量变化,筛选出相关标记的优异等位变异,以327份东北主推品种和优异亲本材料构成的自然群体为试验材料。以分布于大豆20条染色体的186对SSR(simple sequence repeat)分子标记检测所有试验材料的基因型,利用STRCTURE 2.3.4软件分析群体结构,将试验材料分为7个亚群。利用TASSEL 3.0软件的混合线性模型的方法对大豆自然群体的油分和蛋白质含量进行关联分析。在极显著水平(P<0.01)且贡献率大于1%情况下,共检测到33个关联位点。与油分含量极显著关联位点12个,解释率为2.19%~10.05%;与蛋白质含量极显著关联位点11个,解释率为2.65%~9.08%;与油分和蛋白质含量同时关联位点6个,分别为Satt005、Satt117、Satt565、Satt469、Satt594和Satt546,其中Satt594解释率最高,油分为10.05%,蛋白质为9.08%。
In order to study the changes of oil content and protein content of soybean varieties in natural populations, the excellent alleles of the related markers were screened out, and 327 natural populations consisting of the main varieties and excellent parent materials in Northeast China were selected as the experimental materials. The genotypes of all the tested materials were detected with 186 pairs of simple sequence repeat (SSR) markers distributed on 20 chromosomes of soybean. The population structure was analyzed by STRCTURE 2.3.4 software, and the test materials were divided into seven subgroups. Using the mixed linear model of TASSEL 3.0 software, the oil and protein content of soybean natural population were analyzed. In the extremely significant level (P <0.01) and the contribution rate of more than 1%, a total of 33 association sites were detected. With oil content significantly associated with 12 sites, the interpretation rate of 2.19% ~ 10.05%; protein content significantly associated with 11 sites, the interpretation rate of 2.65% ~ 9.08%; oil and protein content associated with the site 6 Satt565, Satt569, Satt594 and Satt546, Satt594, Satt594, Satt594, Satt594, Satt594 and Satt546, respectively.