茶用菊苗期抗旱性和耐涝性的综合评价

Comprehensive Evaluation of Tea Chrysanthemum’s Drought and Waterlogging Tolerance at Seedling Stage

以54份茶用菊的扦插苗为材料,调查干旱和涝渍胁迫下的形态等13个性状指标,采用主成分分析、隶属函数分析、聚类分析和主效可加互作可乘(AMMI)模型等方法综合评价其抗旱性和耐涝性。结果表明,在6月和7月两次胁迫试验中茶用菊抗旱性和耐涝性的平均变异系数分别为25.21%和33.71%;主成分分析从10个抗旱和耐涝相关指标中提取出4个主成分,可以解释81.36%和80.52%的表型变异。基于隶属函数值的聚类分析将供试材料分为4个抗旱类型(抗旱、较抗旱、不抗旱和极不抗旱)和4个耐涝类型(耐涝、较耐涝、不耐涝和极不耐涝)。筛选出抗旱种质7份,其稳定性‘福白菊’>‘滁菊’> GH7-2>‘黄小香菊’> HC6-12>‘金菊3号’> CH;耐涝种质5份,其稳定性GH9-33> GH7-2>GH7-32>‘杭白菊’> CH。AMMI分析发现CH、GC1-16、‘红心菊’和‘滁菊’的综合抗性较强。

In this study,the drought and waterlogging tolerance and their stability across different trials were evaluated by principle component analysis,membership function,cluster analysis,and additive main effects and multiplicative interaction(AMMI)model for 54 tea chrysanthemum accessions at seedling stage. The results showed that the average coefficient of variation for drought and waterlogging tolerance were 25.21% and 33.71%,respectively,across two trials in June and July. The principle component analysis extracted each four main components from ten drought and waterlogging-related traits that could explain 81.36% and 80.52% of phenotypic variation,respectively. The membership function value-based clustering analysis grouped the investigated tea chrysanthemums into four drought resistance types(resistant,moderate resistant,not resistant,and susceptible)and four waterlogging tolerant types(tolerant,moderate tolerant,not tolerant,and susceptible),and significant differences were observed among different tolerance types. A total of seven drought and five waterlogging tolerant accessions were excavated,and the stability of drought tolerance for the seven accessions were sorted as ’Fubaiju’> ’Chuju’> GH7-2 > ’Huang Xiaoxiangju’> HC6-12 > ’Jinju 3’> CH,while the stability of waterlogging tolerance of the five accessions were sorted as GH9-33 > GH7-2 > GH7-32 > ’Hangbaiju’> CH. In addition,CH,GC1-16, ’Hongxinju’,and ’Chuju’showed relatively strong tolerance to both drought and waterlogging stresses based on the AMMI analysis.