黄瓜耐弱光性的多元统计分析

Multiple Statistics Analysis of Low Light Tolerance in Cucumber(Cucumis sativus L.)

利用遮阳网模拟弱光条件,调查18份黄瓜自交系苗期生长发育和生理生化指标,采用多元统计分析方法评价黄瓜品系耐弱光性强弱。结果表明,参试品系的13个指标在品系间存在显著差异,利用因子分析将这些指标综合成5个主因子,累计贡献率达85.62%。对旋转后的因子得分进行聚类分析,供试品系可分为4类:耐弱光材料M22、M43、Ma9;较耐弱光材料M8、M11、M3、M4、M34;弱光中度敏感材料M12、M21、M14、M2、Ma1、M28和弱光敏感材料M10、M44、M32、M36。经过弱光处理后耐弱光指数较大、光合速率降低幅度较小的品系耐弱光性强,应结合耐弱光指数与光合、生长等因子综合进行黄瓜耐弱光性鉴定。

Eighteen cucumber （Cucumis sativus L. ） inbred lines were used to evaluate their low light tolerance based on growth, physiological and biochemistrical indexes at seedling stage. The low light condition was simulated by block light net. The result indicated that thirteen character indexes of different cucumber materials showed significant difference by using multiple variance analysis. Factor analysis indicated that the thirteen character indexes could be characterized into five main factors, and the accumulative contribution rate hit to 85.62%. Cluster analysis based on factor scores after varimax rotation showed that eighteen cucumber inbred lines were classified into four categories： The best low light tolerant materials including M22, M43, Ma9, and stronger low light tolerant inbred lines including Ms , MH , M3 , M4 and M34, moderately sensitive materials including M12, M21 , M14, M2, Ma1 and M28, whereas low light sensitive materials including M10, M44, M32 and M36. Under low light stress, stronger inbred lines have bigger low light tolerant index and smaller fall in pohotosynthetic rate. The method of combination of low light tolerant index and other factors such as photosynthesis and growth is effective to identify low light tolerance in cucumber.