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提型杂种小麦几个主要农艺性状的因子分析
引用本文:范濂,徐国平. 提型杂种小麦几个主要农艺性状的因子分析[J]. 河南农业大学学报, 1987, 0(1)
作者姓名:范濂  徐国平
作者单位:河南农业大学小麦育种研究室,河南农业大学小麦育种研究室
摘    要:借助于因子分析法,把16个提型杂种小麦的8个主要农艺性状分成受4个独立公因子制约的4个性状群。被确定并命名的4个公因子是:f_1,籽粒生产力因子,它由穗粒数、恢复度、千粒重构成;f_2,营养生长势因子,由穗长、抽穗期、株高构成;f_3、f_4均由一个性状构成,分别叫作小穗数因子和有效穗数因子。受同一个因子制约的性状的全体称之为因子群,文中建议在育种过程中按因子群进行性状选择。试验结果的分析表明,因子分析法是处理多种性状,确定数目较少的起立导作用的因子的一种有用方法,文中介绍了因子分析法的统计学原理和具体计算步骤 。

关 键 词:小麦  育种  杂种  统计分析

Factor Analysis of Main Agronomic Traits in Temopheevi CMS Hybrid Wheat
Fan Lian Xu Guoping. Factor Analysis of Main Agronomic Traits in Temopheevi CMS Hybrid Wheat[J]. Journal of Henan Agricultural University, 1987, 0(1)
Authors:Fan Lian Xu Guoping
Abstract:8 agronomic traits of 16 Timopheevi CMS hybrid wheats were divided into 4 independent groups (called factor complexes)by means of Principle Factor Analysis which were controlled by 4 independent factors. The 4 factors which were determined and named were: f_1, grain productivity factor, consisted of kernel number per spike, bagged seed sets, and 1000 kernel weight; f_2, growth vigor factor, constituded by spike length, heading date, and plant height; f_3 and f_4, formed by one trait, called spikelet factor and spike number factor respectively. The comparative importance of these factors and relationship among the traits of the same factor complex were determined. A trait selection procedure which takes a whole factor complex as an independent Unit was Suggested. Results showed that factor analysis was an effective method to clarify the relationship among a large number of correlated traits and to reduce them to a smaller number of main factors.
Keywords:wheat  breeding  cross breed  statistical analysis  
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