Study On Growth Regularity And Hereditary Diversity Of Lindera Glauca Fruit

According to the natural distribution and field survey on Lindera glauca Blume,9 populations were selected from its natural distribution area. Through statistical analysis on changes of phenotypic traits, oil content and fatty acid composition during fruit growth process, and biodiversity research of different geographic populations on quantitative traits of leaf, fruit, seed and fatty acid composition of fruit oil, growth characteristics and hereditary variation regulation of Lglauca were revealed, which provided scientific basis for selective breeding and innovative utilization of fruit oil. In addition, feasibility study on determination of oil content by using nuclear magnetic resonance (NMR) method was carried out, proving that NMR was a rapid and accurate way to determine fruit oil content of Lglauca. The main results of this study were presented as follows:(1) It went through about 140d for Lglauca from fruit setting to ripening. The whole growth and development period could be divided into 3 phases, young fruit development (0-45d), fruit swelling (45-95d), fruit ripening (95-140d) respectively. Moreover, the fruit growth model fitted "S" model best. There were some fluctuations among fatty acids in the process of growth, and most of significant correlations occurred between C16 and C18 fatty acids.(2) Fruit oil content of Lglauca can be determined by NMR rapidly and accurately. NMR study on 22 batches of fruit whose oil content ranged from 25.84% to 44.60% showed that, no significant differences were observed in results between NMR and Soxhlet Extraction Method, continuously repeated measurements of oil content at the same time period got high degree of precision, and results repeated well among measurements at different time.(3) Plentiful variation existed among populations and within population of Lglauca. Differentiation coefficient within population was higher than that among populations, indicating that hereditary diversity mainly existed within population. Leaf size, of which variation coefficients were higher than those of fruit and seed, gradually decreased from north border to south of distributing region. Compared with morphological traits of fruit and seed, variations among qualitative traits (fresh-weight of 100 fruit, dry-weight of 100 fruit, weight of 1,000 seeds, fruit oil content) were much more abundant. Principle Component Analysis (PCA) simplified 13 traits into 4 comprehensive index, and 9 populations were clustered into 3 groups by Clustering Analysis, presenting regional characteristics on some level.(4) 14 fatty acids were detected from fruit of all populations. There were differences among relative contents of each fatty acid, so that fatty acid variations were presented among populations to some extent. Significant correlations existed between palmitic acid (16:0), palmitoleic acid (16:1), linoleic acid (18:2), linolenic acid (18:3) and corresponding geography-climate factors. Result of Clustering Analysis showed that 9 populations can be clustered into 3 groups, and Stepwise Discriminant Analysis revealed that the main bases for clustering were linolenic acid (18:3), palmitoleic acid (16:1) in turn.