计算生物学

Vol.4 No.4 (December 2014)

多元统计分析在不同玉米品种分类和性状评估中的应用
The Application of Different Maize Varieties Classification and Character Evaluation by Multivariate Statistical Method

 

作者:

刘 晶 , 李思宇 , 刘 欣 , 李丰江 , 芦明智 :青海民族大学化学与生命科学学院,青海 西宁

 

关键词:

玉米农艺性状聚类分析主成分分析因子分析Corn Agronomic Traits Clustering Analysis Principal Component Analysis Factor Analysis

 

摘要:

背景:玉米在我国各地均有栽培,因为其生长周期短,生长期内要求温暖多雨。河北省是玉米产量大省,为了提高产量每年的夏玉米增产计划是必不可少的,方法:对14个玉米品种的10个农艺性状应用R软件进行相关分析、聚类分析,主成分分析和因子分析。为河北夏玉米早熟组高产玉米品种选育和品种(组合)评价利用提供理论依据。结论:1) 京试96-3,中玉11号,沧9005 × 冀815,150-4 × H21等几个综合性状是较为优良的组合。2) 产量因子,穗粗因子,生长因子,密度因子都能影响玉米的产量,从而影响经济产量。

Background: Corn is cultivated all over the country. Because it has short growth cycle, during the growing season it requires warm and rainy weather. Hebei province is a province with large pro-duction of maize yield. To improve the yield, the increase plan of summer maize production is es-sential. Methods: 10 agronomic characters of 14 maize varieties are analyzed by R software for correlation analysis, clustering, principal component analysis and factor analysis. It provides a theoretical basis for evaluation and utilization of the Hebei summer maize premature group of High-Yielding Maize Varieties breeding and varieties (combination). Conclusions: 1) Jingshi96-3, Zhongyu NO. 11, Cang9005 × Ji815, 150-4 × H21, and other comprehensive properties are a good combination; 2) Yield factor, ear coarse factor, growth factor and density factor can affect the output of corn, and thus the economic yield.

文章引用:

刘 晶 , 李思宇 , 刘 欣 , 李丰江 , 芦明智 (2014) 多元统计分析在不同玉米品种分类和性状评估中的应用。 计算生物学, 4, 59-67. doi: 10.12677/HJCB.2014.44007

 

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