陆地棉耐涝相关性状主成分及聚类分析

The Principal Component Analysis and Clustering Analysis of Traits Related to Waterlogging Tolerance in Upland Cotton

以34份陆地棉(Gossypium hirsutum Linn.)品种为材料,考查苗期涝渍胁迫及正常供水对照的苗高、主茎红绿比、茎粗、叶片数、叶面积、SPAD值、地上部分鲜重、地上部分干重、地下部分鲜重、地下部分干重等性状,以耐涝系数作为评价指标,采用主成分分析及聚类分析进行耐涝性综合评价。利用耐涝度量值进行模糊聚类,将34个供试棉花品种耐涝性划分为3类,聚类结果基本与供试材料的选育和种植区域的特点相符,其中新陆早19相对耐涝,新陆早36和苏棉20相对敏感。

The morphological traits of seedling stage under waterlogging stress were studied for identifying and screening waterlogging-tolerance cotton cultivars. Principal component analysis and clustering analysis were used to evaluate the ability in waterlogging tolerance of 34 upland cotton cuhivars based on the morphological traits in waterlogging stress. This included seedling height, red and green ratio, stem diameter, number of leaf, chlorophyll content, above-ground fresh weight, aboveground dry weight, underground fresh weight, underground dry weight and leaf area. The 34 eultivars could be divided into 3 clusters by Fuzzy Clustering based on their Waterlogging-toleranee Value （DV）, which could match with the waterlogging characteristics of the origins and planting areas of those cultivars.