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Anthocyanins in Tree Peony (Paeonia suffruticosa) and Their Relationship with Flower Color
Yanzhao Zhang,Yan Zhang,Xujia Duan,Xin Liu,Shuiqing Yuan,Jianming Han,Yanwei Cheng 한국원예학회 2020 원예과학기술지 Vol.38 No.6
Flower color is an important trait of tree peony (Paeonia suffruticosa), an economically important species. The accurate classification of flower color and understanding of the mechanism involved in creating variations in flower color provide the basis of tree peony breeding and genetic research. This study used the International Commission of Illumination Color System, known as CIELAB or CIE L<SUP>*</SUP>a<SUP>*</SUP>b<SUP>*</SUP>, to measure the flower color of 150 cultivars of the Zhongyuan cultivar group of tree peony. Hierarchical cluster analysis and visual observations were used to divide this cultivar group into five major color lines: white, pink, red, purple, and fuchsia. The brightness (L<SUP>*</SUP>) of the flower color gradually decreased with an increase in anthocyanin content. The redness (a<SUP>*</SUP>) of the flower color was significantly negatively correlated with total anthocyanin (TA) content in the fuchsia line but was positively correlated with TA in the remaining four color lines. Six types of anthocyanins, including Cy3G, Cy3G5G, Pn3G, Pn3G5G, Pg3G, and Pg3G5G, were mainly found in the Zhongyuan cultivar group by liquid chromatography except in the white line. Stepwise regression analysis showed that Pg3G5G had a significant positive correlation with redness of flower color. Cy3G5G and Pn3G5G had a significant positive correlation with redness in pink, red, and purple color lines. However, Pn3G was negatively correlated with redness in the fuchsia line. This study lays the foundation for further development of new breeds and flower colors in tree peony and for genetic research related to flower color.
Zhao Yanwei,Luo Xujia,Qin Kemian,Liu Guorui,Chen Daiyuan,Augusto R.S.,Zhang Weixiong,Luo Xiaogang,Liu Chunxian,Liu Juntao,Liu Zhiyi 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.2
Purpose: Muons are characterized by a strong penetrating ability and can travel through thousands of meters of rock, making them ideal to image large volumes and substances typically impenetrable to, for example, electrons and photons. The feasibility of 3D image reconstruction and material identification based on a cosmic ray muons tomography (MT) system with triangular bar plastic scintillator detectors has been verified in this paper. Our prototype shows potential application value and the authors wish to apply this prototype system to 3D imaging. In addition, an MT experiment with the same detector system is also in progress. Methods: A simulation based on GEANT4 was developed to study cosmic ray muons' physical processes and motion trails. The yield and transportation of optical photons scintillated in each triangular bar of the detector system were reproduced. An image reconstruction algorithm and correction method based on muon scattering, which differs from the conventional PoCA algorithm, has been developed based on simulation data and verified by experimental data. Results: According to the simulation result, the detector system’s position resolution is below 1 ~ mm in simulation and 2 mm in the experiment. A relatively legible 3D image of lead bricks in size of 20 cm 5 cm 10 cm used our inversion algorithm can be presented below 1 104 effective events, which takes 16 h of acquisition time experimentally. Conclusion: The proposed method is a potential candidate to monitor the cosmic ray MT accurately. Monte Carlo simulations have been performed to discuss the application of the detector and the simulation results have indicated that the detector can be used in cosmic ray MT. The cosmic ray MT experiment is currently underway. Furthermore, the proposal also has the potential to scan the earth, buildings, and other structures of interest including for instance computerized imaging in an archaeological framework.