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机构地区:[1]洛阳市农产品安全检测中心,河南洛阳471009 [2]河南科技大学农学院,河南洛阳471003 [3]西北农林科技大学植物保护学院,陕西杨凌712100
出 处:《种子》2010年第6期29-32,共4页Seed
基 金:河南省科技攻关项目(0324100015);国家质检总局2007年度标准化质检公益性科研项目(200710198)
摘 要:本研究旨在使小麦新品系快速的应用于农业生产,探讨不同的统计分析方法,以4种密度4个小麦新品系(种)的主要性状为指标,运用聚类分析以及TOPSIS法对其新品系进行综合分析。采用TOPSIS法对两个品系在不同的种植密度下的12个主要性状进行综合评价,其评判结果为:品系223综合性状最好,2138品系较差;品系223选择150万株hm2,品系2138选择240万株hm2。聚类结果分为三类:第一类是不同密度下品系2138的两个高密度下处理和对照品种,第二类是品系223在四种不同密度下的结果,第三类是品系2138在种植密度为150万株hm2和240万株hm2的结果。采用聚类分析和TOPSIS法相结合的分析方法,综合评判了不同种植密度下小麦新品系优劣,两者的综合评判的总趋势基本一致,用这两种方法结合评价新品系以及合适的栽培密度各有优势。The main characters of four new wheat strains were analyzed by cluster analysis and TOPSIS under four different planting densities in order to apply new wheat strains in agricultural production.Results of the TOPSIS showed that the 223 strains were the best,and the 2138 strains were the worst.Cluster results showed that the two strains could be divided into three categories according to different aspect:the first category was 2138 strains under two different densities and the control varieties,and the second type was 223 strains under four different densities,the third category was 2138 strains under two different densities.Combining two analytical methods in evaluating new wheat strains and four different densities showed that the comprehensive evaluated outcome was consistent by the two analysis methods,and the two methods all had advantages and disadvantages in evaluating new strains and its' suitable density.
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