茶条槭自然种群种子和果实表型多样性研究

Nested variation, coefficient of variation, Principal Component Analysis and UPGMA cluster analysis was used to analyze phenotypic traits of seeds and fruits among populations for determining the phenotypic traits variations of Acer ginnala populations and its relationship with geographical environment factors. We made a comparative study on twelve phenotypic traits of fruit and seed in seven natural populations of Acer ginnala from seven provinces. The results showed that there were abundant variations in phenotypic traits of fruit and seed among and within population of Acer ginnala. And there were eleven phenotypic traits (except SLW) occurring extremely significant differences among and within populations. Coefficient of variance ( CV) of the twelve phenotypic traits was 8.14% 32.08%, with an average of 13.90%. And the variance coefficient of seeds among populations ( 8.17%) was lower than that of wing fruits ( 15.63%) , which indicated that the seeds had higher stability than the fruits. Principal component analysis ( PCA) showed that the contribution of morphological characteristics of fruit to the phenotypic traits of Acer ginnala populations was higher than that of seeds, which indicated that the main variation source of A. ginnala came from the fruits. Mean coefficient of phenotypic differentiation (Vst) between populations was 35.47%, which was lower than that within populations ( 64.53%),