【摘要】 建立确实可行的早期鉴定技术,以加快含特异儿茶素组分的茶树品种的选育。以高EGCG茶树新品系及其人工杂交F1代为材料,应用泛函网络的非线性回归预测模型和广义线性模型,分析了茶树叶片净光合速率与儿茶素组分的相关关系。结果表明:茶树叶片净光合速率与EC、GCG含量均呈正相关;与C、ECG、EGC、EC、EGCG、简单儿茶素和儿茶素总量均呈负相关,特别是与酯型儿茶素和儿茶素总量呈显著的负相关;应用上述模型能排除光照、温度等光合作用因子的影响,使茶树叶片净光合速率真实反应茶树自身的光合作用能力。本研究结果提示:检测茶树的净光合速率为早期简便地鉴定茶树新株系的儿茶素组分提供依据。更多还原

【Abstract】 The practical early determination technique was established in order to accelerate the breeding tea varieties with specific catechins components.In this study,tea plant varieties with high EGCG content and their artificial hybridization F1 were used as material.The non-linear regression forecast model based on functional networks and generalized linear models were applied.Then the correlation between the tea plants leaves net photosynthetic rate and catechins components of correlation was analyzed.The results showed that the net photosynthetic rate of tea plant leaves had positive correlation with the EC,GCG content,and negative correlation with C,ECG,EGC,EC,EGCG,simple catechins and total catechins.In particular,the negative correlation with the ester-catechins and total catechins was significant.Excluded the impact of the photosynthesis of light,temperature and other factors by the application of the above mentioned models,the tea plant photosynthetic capacity was reacted by the tea plant leaves net photosynthetic rate.The study results indicated that detecting net photosynthetic rate of tea plants provided a basis for early handy appraisal of new tea plant strains with specific catechins components.更多还原