论文部分内容阅读
选取15%的总体取样比例,采用2种分组方法、3种组内取样量比例和2种组内个体选择方法,分析了476份广西甘薯种质资源的18个农艺性状数据,构建出13个甘薯初级核心种质样本。为确定这些样本的代表性,分别与总体进行了5个指标的比较,包括表型保留比例、表型频率方差、遗传多样性指数、变异系数、极差符合率。结果表明,按资源类型分组优于按来源地分组;组内取样量以对数法代表性最好,简单比例法的代表性其次,平方根法最差;在个体选择中,最小距离逐步取样法优于随机法。因此,按资源类型分组,再按对数比例法确定组内取样量,通过最小距离逐步取样法选择个体是甘薯核心种质构建的最佳取样策略。
The total sampling rate of 15% was selected. The data of 18 agronomic traits of 476 sweet potato germplasm resources in Guangxi were analyzed by using two grouping methods, the sampling ratio of three groups and the individual selection method of two groups. Thirteen Sweet potato primary core collection. To determine the representativeness of these samples, five indicators were compared with the overall ones, including the proportion of phenotypic retention, the variance of phenotypic frequency, the index of genetic diversity, coefficient of variation, and the rate of poor agreement. The results showed that grouping by resource type was better than grouping by source; the sampling quantity in group was the best by logarithm, the representative by simple proportion method was the second, and the square root method was the worst. In individual selection, Better than random method. Therefore, according to the type of resource grouping, and then logarithmic proportional method to determine the sampling volume group, the minimum distance stepwise sampling method to select individuals is sweet potato core collection the best sampling strategy.