Correlation Between Phenotype Characteristics and Main Functional Components of </i>Lycium barbarum<i> L.(宁夏枸杞的表型特征与主要功效成分含量的相关性)
摘要
In light of the current situation that the grading of </i>Lycium barbarum<i> L. mainly relies on phenotypic characteristics such as color and fruit size, this study analyzed and evaluated the quality of dried </i>Lycium barbarum<i> L. based on the correlation analysis between functional components and phenotypic characteristics. A total of 224 samples of </i>Lycium barbarum<i> L. from different germplasms, harvesting batches, grades and origins were used to study the main functional components (total sugar, polysaccharide, betaine, total flavonoids and carotenoids), and phenotypic characteristics such as length, width, longitudinal area, and average single fruit weight and color indicators (</i>L<i>*, </i>a<i>* and </i>b<i>* values) of </i>Lycium barbarum<i> L.. Response of the main functional components and phenotype characteristics (fruit shape, size, color, etc.) of </i>Lycium barbarum<i> L. to different factors and the correlations between the quality indicators were analyzed. The total sugar content of </i>Lycium barbarum<i> L. was significantly and positively correlated with the fruit shape(</i>P<i><0.05) and negatively correlated with the content of polysaccharides, betaine, total flavonoids and carotenoids. This means that </i>Lycium barbarum<i> L. with low total sugar content showed an overall trend of smaller fruit shape and higher contents of functional components. The color indexes </i>L<i>*, </i>a<i>* and </i>b<i>* were positively correlated with each other(</i>P<i><0.05), </i>L<i>* and </i>a<i>* values were positively correlated with zeaxanthin dipalmitate and total carotenoids contents in different degrees. That was, the brighter and redder the </i>Lycium barbarum<i> L. fruit, the higher content of zeaxanthin dipalmitate and carotenoid. The carotenoids content of </i>Lycium barbarum<i> L. had a positive effect on the fruit brightness and redness. This study provided theoretical support for optimizing quality evaluation standards and breeding s