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519 results on '"Liang, Xingyu"'

21. A Detection of Mispricing in Chinese Option Market

Author

Liu, Yucheng, Xiao, Yanghao, Deng, Yuanyuan, Liang, Xingyu, Zheng, Chunyuan, Li, Haoxuan, Dou, Runliang, Editor-in-Chief, Liu, Jing, Editor-in-Chief, Khasawneh, Mohammad T., Editor-in-Chief, Balas, Valentina Emilia, Series Editor, Bhowmik, Debashish, Series Editor, Khan, Khalil, Series Editor, Masehian, Ellips, Series Editor, Mohammadi-Ivatloo, Behnam, Series Editor, Nayyar, Anand, Series Editor, Pamucar, Dragan, Series Editor, Shu, Dewu, Series Editor, Radojević, Nebojša, editor, Xu, Gang, editor, and Md Mansur, Datuk Dr Hj Kasim Hj, editor

Published
2023
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42. A breeding method for Ogura CMS restorer line independent of restorer source in Brassica napus.

Author

Wang, Xuesong, Liang, Xingyu, Wang, Rui, Gao, Yuan, Li, Yun, Shi, Haoran, Gong, Wanzhuo, Saleem, Saira, Zou, Qiong, Tao, Lanrong, Kang, Zeming, Yang, Jin, Yu, Qin, Wu, Qiaobo, Liu, Hailan, and Fu, Shaohong

Subjects
CYTOPLASMIC male sterility, MITOCHONDRIAL DNA, RAPESEED, PLANT hybridization, CHROMOSOMES, HAPLOIDY
Abstract

The Ogura cytoplasmic male sterility (CMS) line of Brassica napus has gained significant attention for its use in harnessing heterosis. It remains unaffected by temperature and environment and is thorough and stable. The Ogura cytoplasmic restorer line of Brassica napus is derived from the distant hybridization of Raphanus sativus L. and B. napus , but it carried a large number of radish fragments into Brassica napus , because there is no homologous allele of the restorer gene in B. napus , transferring it becomes challenging. In this study, the double haploid induction line in B. napus was used as the male parent for hybridization with the Ogura CMS of B. napus. Surprisingly, fertile plants appeared in the offspring. Further analysis revealed that the cytoplasmic type, ploidy, and chromosome number of the fertile offspring were consistent with the sterile female parent. Moreover, the mitochondrial genome similarity between the fertile offspring and the sterile female parent was 97.7% indicates that the cytoplasm of the two is the same, while the nuclear gene difference between fertile offspring and sterile female parent was only 10.33%, indicates that new genes appeared in the offspring. To further investigate and locate the restorer gene, the BSA method was employed to construct extreme mixed pools. As a result, the restorer gene was mapped to three positions: A09 chromosome 10.99–17.20 Mb, C03 chromosome 5.07–5.34 Mb, and C09 chromosome 18.78–36.60 Mb. The experimental results have proved that induction does produce restorer genes. The induction of the Ogura CMS restorer gene through DH induction line provides a promising new approach for harnessing heterosis in B. napus. [ABSTRACT FROM AUTHOR]

Published
2025
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47. Optimization of Energy-saving Operation Strategy of Heat Pump Hot-water System Using Stochastic Load Prediction

Author

Liu Chengning, Liang Xingyu, Shao Liangliang, and Zhang Chunlu

Subjects
air-source heat pump, operation strategy, stochastic process, optimization, Heating and ventilation. Air conditioning, TH7005-7699, Low temperature engineering. Cryogenic engineering. Refrigeration, TP480-498, Technology
Abstract

Reasonable optimization of the operation strategy is essential for saving energy in the long-term operation of heat pump systems. However, the strategy optimization process is susceptible to load uncertainty, which causes the optimized strategy to save less energy than expected. To address this issue, a method of operation strategy optimization using stochastic load prediction was developed in this study. The method adopts multiple stochastic process samplings to simulate the uncertainty of the load prediction, thereby improving the robustness and energy savings of the operation strategy. The energy-saving properties of the optimization method were verified and analyzed using an air-source heat pump hot-water system. The results show that the novel optimization strategy can reduce the chance of using peak electricity and increase the utilization of off-peak electricity. In the long-term operation simulation, the novel optimization strategy was found to save 6.4% of energy costs compared with the traditional optimization method.

Published
2023
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