Shaochun Liu, Jiamin Hu, Haohua He, Junru Fu, Xu Jie, Dahu Zhou^*, Haihui Fu^*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2035-2049, 2023, DOI:10.32604/phyton.2023.028296

Abstract OsPLS4 encodes a β-ketoacyl carrier protein reductase (KAR). The role of OsPLS4 in rice sheath blight (Rhizoctonia solani) remains unclear. Our preliminary studies showed that premature leaf senescence mutants (pls4) were highly susceptive to sheath blight in the early stage of rice development. To explore the role of this gene in the development of rice sheath blight, the transcriptome profiles of the rice pls4 mutant and wild type were compared by RNA-seq. The results revealed 2,569 differentially expressed genes (DEGs). The down-regulated genes were significantly enriched in the defense response-related biological processes. These down-regulated genes included the chitinase genes and… More >

Xi Liu^1,2,#,*, Chuxuan Zhao^2,#, Di Wang^3,#, Gen Pan⁴, Xiaonan Ji², Su Gao², Tanxiao Du², Yating Feng², Wenjing Chen²

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2051-2064, 2023, DOI:10.32604/phyton.2023.028196

Abstract Many studies have already shown that dwarfism and moderate delayed leaf senescence positively impact rice yield, but the underlying molecular mechanism of dwarfism and leaf senescence remains largely unknown. Here, using map-based cloning, we identified an allele of DEP2, DDG1, which controls plant height and leaf senescence in rice. The ddg1 mutant displayed dwarfism, short panicles, and delayed leaf senescence. Compared with the wild-type, ddg1 was insensitive to exogenous gibberellins (GA) and brassinolide (BR). DDG1 is expressed in various organs, especially in stems and panicles. Yeast two-hybrid assay, bimolecular fluorescent complementation and luciferase complementation image assay showed that DDG1 interacts… More >

Sang Ik Song^*

Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2017-2034, 2023, DOI:10.32604/phyton.2023.027469

Abstract Small ubiquitin-like modifier (SUMO) E3 ligases that facilitate the conjugation of SUMO proteins to target substrates contain an SP-RING domain which is like the RING domain found in ubiquitin E3 ligases. In this study, we isolated and characterized the Oryza sativa protein inhibitor of activated STAT like1 (OsPIAL1) containing SP-RING domains, as the rice homolog of Arabidopsis PIALs. OsPIAL1 interacts with OsSUMO proteins but does not interact with rice SUMO-conjugating enzymes (OsSCEs). An analysis of transgenic rice plant shows that OsPIAL1 is involved in SUMO conjugation to SCEs but not in SUMO conjugation to substrates. In addition, this OsPIAL1 activity… More >

Zhenzhen Zhang^1,*, Qingquan Lv¹, Long Zhao¹, Qiang Zhou¹, Pengfei Gao¹, Yanqi Zhang¹, Yimin Li²

Energy Engineering, Vol.120, No.7, pp. 1637-1654, 2023, DOI:10.32604/ee.2023.026942

Abstract Capacity allocation and energy management strategies for energy storage are critical to the safety and economical operation of microgrids. In this paper, an improved energy management strategy based on real-time electricity price combined with state of charge is proposed to optimize the economic operation of wind and solar microgrids, and the optimal allocation of energy storage capacity is carried out by using this strategy. Firstly, the structure and model of microgrid are analyzed, and the output model of wind power, photovoltaic and energy storage is established. Then, considering the interactive power cost between the microgrid and the main grid and… More >

Ida Bagus Alit, I Gede Bawa Susana^*

Frontiers in Heat and Mass Transfer, Vol.17, pp. 1-7, 2021, DOI:10.5098/hmt.17.15

Abstract Rice husk is a cheap fuel source and it is abundantly available in Indonesia. The heat exchanger mechanism was used in other to, the dried material was not contaminated by the combustion gases. The drying system consists of three components which include the furnace, heat exchanger pipe, and drying chamber. The heat exchanger pipe connects the furnace with the drying chamber and transfers the heat generated from rice husk burning to the drying chamber. The drying chamber was the section for drying the jackfruit dodol. It consists of 4 shelves and is equipped with an exhaust fan. The results showed… More >

Ida Bagus Alit, I Gede Bawa Susana^* , I Made Mara

Frontiers in Heat and Mass Transfer, Vol.19, pp. 1-7, 2022, DOI:10.5098/hmt.19.25

Abstract The study compared solar dryers with hot air from a heat exchanger double furnace during the drying of white turmeric. Solar drying is the process of drying the product in the sun. The hot air dryer consists of two furnaces with heat exchanger pipes and a drying chamber with six vertical shelves. During the test, the use of rice husk energy in a constant amount of 35 kg. Temperature and drying rate are higher in hot air dryers. Tests carried out for 420 minutes resulted in a change in moisture content from 88% to 35.88% and an average temperature of… More >

Hongxiu Gao¹, Lin Zhu², Tianqi Liu¹, Xueyu Leng¹, Zhenxing Zhu³, Wei Xie¹, Haitao Lv¹, Zhengxun Jin¹, Ping Wu^4,#, Zhongchen Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1743-1763, 2023, DOI:10.32604/phyton.2023.026516

Abstract Cyclophilin (CYP) plays an important role in plant response to stress, and OsCYP2, one gene of cyclophlilin family, is involved in auxin signal transduction and stress signaling in rice. However, the mechanism that OsCYP2 is involved in rice response to low temperature is still unclear. We identified a new OsCYP2 allelic mutant, lrl3, with fewer lateral roots, and the differences in shoot height, primary root length and adventitious root length increased with the growth process compared to the wild-type plant. Auxin signaling pathway was also affected and became insensitive to gravity. The transgenic rice plants with over-expression of OsCYP2 were… More >

Mohammad Reza Boorboori, Husen Qiu, Jieyun Liu, Haiyang Zhang^*

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1873-1886, 2023, DOI:10.32604/phyton.2023.027924

Abstract Rice is an essential part of the human diet in most parts of the world; On the other hand, the industrialization of societies has led to pollution of the environment, including heavy metal contamination of soil and water, which negatively affects rice production and quality. Therefore, finding ways to increase the yield and quality of this strategic crop seems essential. Several studies have been conducted in recent decades to find effective and inexpensive solutions to reduce the adverse effects of heavy metals in rice fields. Due to the negative effect of cadmium pollution on rice quality and yield, the current… More >

Yang Zhou, Chunjiao Fu, Yuting Zhai, Jian Li, Ziqi Jin, Yanlei Xu^*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4501-4517, 2023, DOI:10.32604/cmc.2023.038446

Abstract Accurate identification of rice diseases is crucial for controlling diseases and improving rice yield. To improve the classification accuracy of rice diseases, this paper proposed a classification and identification method based on an improved ShuffleNet V2 (GE-ShuffleNet) model. Firstly, the Ghost module is used to replace the convolution in the two basic unit modules of ShuffleNet V2, and the unimportant convolution is deleted from the two basic unit modules of ShuffleNet V2. The Hardswish activation function is applied to replace the ReLU activation function to improve the identification accuracy of the model. Secondly, an effective channel attention (ECA) module is… More >

Zixiong Wang, Qiuying Chen, Sang-Joon Lee^*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2443-2459, 2023, DOI:10.32604/cmc.2023.037553

Abstract The rapid expansion of the non-fungible token (NFT) market has attracted many investors. However, studies on the NFT price fluctuations have been relatively limited. To date, the machine learning approach has not been used to demonstrate a specific error in NFT sale price fluctuation prediction. The aim of this study was to develop a prediction model for NFT price fluctuations using the NFT trading information obtained from OpenSea, the world’s largest NFT marketplace. We used Python programs to collect data and summarized them as: NFT information, collection information, and related account information. AdaBoost and Random Forest (RF) algorithms were employed… More >