蓖麻镶嵌系与雌性系间的生理差异研究

【目的】研究蓖麻镶嵌系与雌性系间的生理差异,为蓖麻性别分化调控及其育种应用提供参考。【方法】以相同遗传背景的蓖麻镶嵌系和蓖麻雌性系为材料,分别在现蕾期和盛花期对叶片叶绿素相对含量、净光合速率、可溶性营养物质及内源激素进行分析。【结果】现蕾期,镶嵌系蓖麻的可溶性糖和细胞分裂素含量显著高于雌性系,比雌性系分别高36.9%、61.5%,赤霉素含量显著低于雌性系,为25.6%。盛花期,蓖麻镶嵌系叶绿素相对含量、净光合速率、赤霉素、生长素和乙烯含量比雌性系显著升高,分别为15.2%、23.3%、13.8%、33.5%、73.8%,可溶性糖、可溶性淀粉和脱落酸含量显著下降,分别为38.0%、54.9%、14.8%。【结论】蓖麻镶嵌雄花的形成先以可溶性糖和细胞分裂素增加为特征,之后伴随营养物质消耗的增加、叶绿素含量与净光合速率的上升和赤霉素、生长素与乙烯水平的提高以及脱落酸水平的降低。

Application of remote-sensing-image fusion to the monitoring of mining induced subsidence

We discuss remote-sensing-image fusion based on a multi-band wavelet and RGB feature fusion method. The fused data can be used to monitor the dynamic evolution of mining induced subsidence. High resolution panchromatic image data and multi-spectral image data were first decomposed with a multi-ary wavelet method. Then the high frequency components of the high resolution image were fused with the features from the R, G, B bands of the multi-spectral image to form a new high frequency component. Then the newly formed high frequency component and the low frequency component were inversely transformed using a multi-ary wavelet method. Finally, color images were formed from the newly formed R, G, B bands. In our experiment we used images with a resolution of 10 m (SPOT), and TM30 images, of the Huainan mining area. These images were fused with a trinary wavelet method. In addition, we used four indexes—entropy, average gradient, wavelet energy and spectral distortion—to assess the new method. The result indicates that this new method can improve the clarity and resolution of the images and also preserves the information from the original images. Using the fused images for monitoring mining induced subsidence achieves a good effect.