主成分分析在西瓜产量及相关性状评价中的应用  

Application of Principal Components Analysis Applied to Watermelon Yield and Related Traits Evaluation

作　　者：张先亮 吴占清 霍治邦 程志强 罗晓丹 

机构地区：[1]开封市农林科学研究院,开封市生物育种重点实验室,河南开封475004

出　　处：《北方园艺》2015年第1期36-39,共4页Northern Horticulture

基　　金：国家现代农业产业技术体系建设专项资金资助项目(CARS-26-33);河南省重点科技攻关资助项目(122102110002);河南省科技成果转化资助项目(132132201610005)

摘　　要：以"菊城绿之美"早熟西瓜新品种为试材,以其它3个西瓜品种为同年参试品种及对照,利用主成分分析的方法,对西瓜相关性状进行了主成分提取、贡献率计算和特征向量获得与主成分综合模型构建;对西瓜产量进行了相关性状综合评判,以期获得主成分综合评判模型,并给出4个供试西瓜品种性状合理的综合得分。结果表明:主成分分析法从数的概念上对品种做出了评判,这是研究西瓜产量性状的一种新方法,也可为品种的审定与推广利用提供更科学的依据;综合评判结果显示,"菊城绿之美"在4个品种中最优。Taking early-maturing watermelon variety ＇Jucheng Lyu Zhi Mei＇ as materials, the principal component was extracted in watermelon-related traits and counted contribution rates, and the eigenvectors were obtained to build the main component of a comprehensive model by the method of principal components analysis. Then it conducted watermelon yield-related traits a comprehensive evaluation and got the main ingredient to obtain comprehensive evaluation model, so gave the four cultivars reasonable score. The results showed that the principal component analysis made the judge to varieties on the concept of a number,which was a new method of watermelon yield traits evaluation. It may also provide a scientific basis for validation to promote the use of varieties. Comprehensive evaluation results showed that,the ＇JuCheng Lyu Zhi Mei＇ was the best in four varieties.

关 键 词：西瓜 “菊城绿之美” 高产 早熟 优质 

分 类 号：S651[农业科学—果树学]