检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:谢鹏[1] 谭晓风[1] 袁军[1] 田晓明[1] 蒋有来
机构地区:[1]中南林业科技大学,湖南长沙410004 [2]邵阳县林业局,湖南邵阳422100
出 处:《湖南林业科技》2009年第2期16-18,22,共4页Hunan Forestry Science & Technology
基 金:国家"十一五"科技支撑项目(编号:2006BAD18B0204;2006BAD01A1706)
摘 要:应用主成分分析法,由样本相关矩阵出发,对11个油茶品系单株的10个主要性状(树高、冠幅、分枝级数、果形指数、单果重、出籽率、花蕾直径、雄蕊数、雌蕊长度、产量)进行分析,以性状的累积方差贡献率达到86.52%确定了4个反映油茶主要经济性状的主成分,并通过计算品系的重要主成分值,对供试品系进行比较,进而选择综合经济性状优良的品系。表明用主成分分析法对油茶主要经济性状综合评选,比采用优良性状打分评优法科学、简便;应用主成分分析对油茶品种的选择比传统的人为打分更具有准确性和科学性,为以后油茶优良品种的选择提供了理论依据。Based on specimen correlation matrix , the 10 main characters (tree height, crown width, branch grades, fruit shape index, single fruit weight, rate of seed, diameter of flower bud, quantity of stamen, the length of pistil, yield) of 11 varieties of Camellia oliefera were determined by principal component analysis. According to the cumulative variance contribution which reached 86.52%, four principal components which reflected the main economic characters were determined, and fine varieties were selected with the com- parison of various varieties based on calculating the key principal component values. The result showed that the method of principal component analysis was more scientific and accurate and simple than the method of giving marks while evaluating the main economic characters and selecting fine varieties of C. oliefera. This will provide a theoretical basis for selecting fine varieties of C. oliefera.
分 类 号:S794.4[农业科学—林木遗传育种]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.15