Dynamic changes of starch, amylose, sucrose contents and the activities of starch synthesis enzymes under shading treatments alter flowering were studied using two rice varieties IR72 （indica） and Nipponbare （japon...Dynamic changes of starch, amylose, sucrose contents and the activities of starch synthesis enzymes under shading treatments alter flowering were studied using two rice varieties IR72 （indica） and Nipponbare （japonica） as materials. Under shading treatments, the starch, amylose and sucrose contents decreased, while ADP-glucose pyrophosphorylase （ADPGPPase） activity only changed a little, soluble starch synthase activity and granule bound starch synthase activity decreased, soluble starch branching enzyme （SSBE, Q-enzyme） activity and granule bound starch branching enzyme （GBSBE, Q-enzyme） activity increased, and starch debranching enzyme （DBE, R-enzyme） activity varied with varieties. Correlation analyses showed that the changes of starch content were positively and significantly correlated with the changes of sucrose content in the weak light. Both ADPGPPase activity and SSBE activity were positively and significantly correlated with starch accumulation rate. It was implied that the decline of starch synthase activities was related to the decrease of starch content and the increase of the activity of starch branching enzyme played an important role in the decrease of the ratio of amylose to the total starch under the weak light.展开更多
电力系统多样化的运行方式对薄弱支路辨识的速度与拓扑泛化性提出更高要求。结合图深度学习及解释方法对薄弱支路进行辨识与溯因分析。采用基于初始残差和单位映射的图卷积神经网络(graph convolutional network via initial residual a...电力系统多样化的运行方式对薄弱支路辨识的速度与拓扑泛化性提出更高要求。结合图深度学习及解释方法对薄弱支路进行辨识与溯因分析。采用基于初始残差和单位映射的图卷积神经网络(graph convolutional network via initial residual and identity mapping,GCNII)搭建薄弱支路辨识模型,模型可基于拓扑关系聚合元件特征,结合邻近电网的安全态势评估支路的薄弱程度。采用基于互信息优化的解释方法分析辨识模型的决策依据,提取薄弱支路的主导因子。IEEE68节点系统、实际电网算例结果表明,辨识模型具有较好的辨识准确性和拓扑泛化性,溯因分析结果符合传统机理认知所得结论,可为连锁故障的实时预警和预防控制提供有效指导。展开更多
文摘Dynamic changes of starch, amylose, sucrose contents and the activities of starch synthesis enzymes under shading treatments alter flowering were studied using two rice varieties IR72 （indica） and Nipponbare （japonica） as materials. Under shading treatments, the starch, amylose and sucrose contents decreased, while ADP-glucose pyrophosphorylase （ADPGPPase） activity only changed a little, soluble starch synthase activity and granule bound starch synthase activity decreased, soluble starch branching enzyme （SSBE, Q-enzyme） activity and granule bound starch branching enzyme （GBSBE, Q-enzyme） activity increased, and starch debranching enzyme （DBE, R-enzyme） activity varied with varieties. Correlation analyses showed that the changes of starch content were positively and significantly correlated with the changes of sucrose content in the weak light. Both ADPGPPase activity and SSBE activity were positively and significantly correlated with starch accumulation rate. It was implied that the decline of starch synthase activities was related to the decrease of starch content and the increase of the activity of starch branching enzyme played an important role in the decrease of the ratio of amylose to the total starch under the weak light.
文摘电力系统多样化的运行方式对薄弱支路辨识的速度与拓扑泛化性提出更高要求。结合图深度学习及解释方法对薄弱支路进行辨识与溯因分析。采用基于初始残差和单位映射的图卷积神经网络(graph convolutional network via initial residual and identity mapping,GCNII)搭建薄弱支路辨识模型,模型可基于拓扑关系聚合元件特征,结合邻近电网的安全态势评估支路的薄弱程度。采用基于互信息优化的解释方法分析辨识模型的决策依据,提取薄弱支路的主导因子。IEEE68节点系统、实际电网算例结果表明,辨识模型具有较好的辨识准确性和拓扑泛化性,溯因分析结果符合传统机理认知所得结论,可为连锁故障的实时预警和预防控制提供有效指导。
