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辣椒种质资源植株和果实性状的相关性及因子分析
引用本文:龚明霞,何铁光,董文斌,王日升,赵坤,张朝明. 辣椒种质资源植株和果实性状的相关性及因子分析[J]. 辣椒杂志, 2013, 0(4): 1-5
作者姓名:龚明霞  何铁光  董文斌  王日升  赵坤  张朝明
作者单位:[1]广西农业科学院蔬菜研究所,南宁530007 [2]广西农业科学院农业资源与环境研究所,南宁530007 [3]广西农业科学院甘蔗研究所,南宁530007
基金项目:广西科学研究与技术开发计划项目(桂科合1140010-7);广西自然科学基金项目(2011GXNSFA018106,2013GXNSFBA019060);广西农业科学院基本科研业务专项项目(桂农科2013YQ05,桂农科2011YM11);南宁市兴宁区科学研究与技术开发项目(2010028);“广西特聘专家”专项经费
摘    要:试验以16份辣椒种质为材料,对其12个植株和果实性状进行相关性及因子分析。相关性分析结果表明:果长、果宽、果柄长、胎座剖面横径、果肉厚、单果质量相互之间存在显著或极显著正相关:始花节位与株高呈显著正相关;植株开展度-2与果宽、胎座剖面横径、果肉厚、单果质量之间呈显著负相关。因子分析结果表明:12个性状可以缩减为4个公因子,累计方差贡献率达92.435%;采用方差最大正交旋转法进行因子旋转,按各变量载荷值的大小将4个公因子分别命名为果实性状、植株开展度、叶片和熟性因子。在辣椒育种中,可以按照育种目标对上述公因子或其分量进行单独选择。

关 键 词:辣椒  农艺性状  相关分析  因子分析

Correlation and Factor Analysis of Plant and Fruit Traits in Hot Pepper
Gong Mingxia,He Tieguang,.,Dong Wenbin Wang Risheng Zhao Kun Zhang Chaoming. Correlation and Factor Analysis of Plant and Fruit Traits in Hot Pepper[J]. Journal of China Capsicum, 2013, 0(4): 1-5
Authors:Gong Mingxia  He Tieguang  .  Dong Wenbin Wang Risheng Zhao Kun Zhang Chaoming
Affiliation:1. Vegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; 2. Agricultural Resources and Environment Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; 3. Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China )
Abstract:The correlation and factor analyses of 12 plant and fruit traits were conducted in this study for 16 different materials of hot pepper. The results of correlation analyses showed that there was a significantly or highly significantly positive correlation between any two traits of fruit length, fruit width, carpopodium length, width of placenta section, fruit-wall thickness, and weight of single fruit; the first flower node had significantly positive correlation with plant height; and the fruit width, width of placenta section, fruit-wall thickness and weight of single fruit had significantly negative correlation with plant canopy-2. In addition, the results of factor analysis indicated that four common factors(CFs) were obtained from 12 tested traits, and factor rotation was made by variance biggest orthogonal rotation method, and their cumulative variance contributive percentage was up to 92.435%, and those CFs were named fruit trait, plant canopy, leaf and maturity factors respectively. The CFs or their subcomponents could be selected independently to improve selective efficiency and objective pertinency for different breeding target.
Keywords:hot pepper  agronomic trait  correlation analysis  factor analysis
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