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  • Open Access

    REVIEW

    The Genetic and Biochemical Mechanisms Underlying Cereal Seed Dormancy

    Sasa Jing1, Yuan Tian1, Heng Zhang2, John T. Hancock3, Ying Zhu2,*, Ping Li1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1203-1214, 2023, DOI:10.32604/phyton.2023.026305

    Abstract The crop seeds have been a staple food for humans, and seed yield is important for sustaining agriculture development and enhancing human adaptability to food risks. The phenomenon of pre-harvest sprouting (PHS), caused by seed dormancy deficiency, and the phenomenon of low seedling emergence caused by seed deep dormancy, will lead to a reduction in agricultural production. Therefore, it is particularly important to understand the regulation mechanisms of seed dormancy. There are many studies on the regulation of seed dormancy in rice, but there are few studies on the regulation of seed dormancy in other crops, and the research on… More >

  • Open Access

    ARTICLE

    Effect of Rural Sewage Irrigation Regime on Water-Nitrogen Utilization and Crop Growth of Paddy Rice in Southern China

    Menghua Xiao1,*, Yuanyuan Li1,2, Shizong Zheng1

    Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1215-1233, 2023, DOI:10.32604/phyton.2023.025625

    Abstract

    Reclaimed water irrigation has become an effective mean to alleviate the contradiction between water availability and its consumption worldwide. In this study, three types of irrigation water sources (rural sewage’s primary treated water R1 and secondary treated water R2, and river water R3) meeting the requirements of water quality for farmland irrigation were selected, and three types of irrigation water levels (low water level W1 of 0–80 mm, medium water level W2 of 0–100 mm, and high water level W3 of 0–150 mm) were adopted to carry out research on the influence mechanismS of different irrigation water sources and water… More >

  • Open Access

    ARTICLE

    Conventional Breeding and Molecular Markers for Blast Disease Resistance in Rice (Oryza sativa L.)

    Adel A. Rezk1,2, Mohamed M. El-Malky3, Hossam S. El-Beltagi1,4,*, Mohammed Al-daej1, Kotb A. Attia5,6

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 725-746, 2023, DOI:10.32604/phyton.2022.024645

    Abstract Monogenic lines, which carried 23 genes for blast resistance were tested and used donors to transfer resistance genes by crossing method. The results under blast nursery revealed that 9 genes from 23 genes were susceptible to highly susceptible under the three locations (Sakha, Gemmeza, and Zarzoura in Egypt); Pia, Pik, Pik-p, Piz-t, Pita, Pi b, Pi, Pi 19 and Pi 20. While, the genes Pii, Pik-s, Pik-h, Pi z, Piz-5, Pi sh, Pi 3, Pi 1, Pi 5, Pi 7, Pi 9, Pi 12, Pikm and Pita-2 were highly resistant at the same locations. Clustering analysis confirmed the results, which… More >

  • Open Access

    ARTICLE

    A Novel Dominant Allele from 93-11, ES(4), Represses Reactive Oxygen Species Scavenging and Leads to Early-Senescence in Rice

    Zhishu Jiang#, Cong Gan#, Yulian Liu, Xiaoli Lin, Limei Peng, Yongping Song, Xiaowei Luo, Jie Xu*

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 665-677, 2023, DOI:10.32604/phyton.2023.025266

    Abstract Senescence is the last developmental process in plant, which has an important impact on crop yield and quality. In this study, a stable hereditary early-senescence line BC64 was isolated from the high-generation recombinant inbred lines of 93-11 and Wuyunjing7 (W7). Genetic analysis showed that the premature aging phenotype was controlled by a dominant gene derived from 93-11. By linkage analysis, the gene was primarily mapped in the region between marker B4 and B5 near the centromere of chromosome 4, described as ES(4). Through multiple backcrossing with W7, the near-isogenic line of ES(4) (NIL-ES(4)) was obtained. Compared with wild-type W7, NIL-ES(4)… More >

  • Open Access

    ARTICLE

    Transcriptome analysis reveals potential genes associated with plant height in rice

    CAN CHEN#, RUI FENG#, ZONGQIONG ZHANG#, XIUZHONG XIA, BAOXUAN NONG, YU ZENG, HUI GUO, XINGHAI YANG*, DANTING LI*

    BIOCELL, Vol.47, No.2, pp. 409-421, 2023, DOI:10.32604/biocell.2023.023543

    Abstract Plant height (PH) is a complex trait regulated by the environment and multiple genes. PH directly affects crop yield, harvest index, and lodging resistance. From plant dwarf mutants, many genes related to PH have been identified and described. Nonetheless, the molecular mechanism of height regulation in high-culm rice mutants has not been well studied. By using transcriptome and weighted gene co-expression network analysis (WGCNA), we identified the differentially expressed genes (DEGs) between high-culm rice mutants (MUT) and wild-type (WT) and explored the key pathways and potential candidate genes involved in PH regulation. Transcriptome analysis identified a total of 2,184 DEGs,… More >

  • Open Access

    ARTICLE

    Development of a Novel Extrusion Process for Preparing Rice Straw/LLDPE Composites

    Huicheng Xu, Hao Xie, Weidong Shan, Weihong Wang*

    Journal of Renewable Materials, Vol.11, No.3, pp. 1123-1135, 2023, DOI:10.32604/jrm.2022.023959

    Abstract Straw utilization is a key issue related to agricultural production and air pollution control. In this study, a novel extrusion process was proposed to improve the physical and mechanical properties of the straw-reinforced linear low-density polyethylene (LLDPE) composite. Instead of crushing the straw and mixing it with plastic matrix, the new method mixes straw with plastic matrix in its original form. The intact long rice straws were parallelly spread on the LLDPE film and then rolled up together into a prefabricated roll. The rolls experienced three extrusion processes as follows: (1) twin-screw melting, cooling and crushing, single-screw extruding; (2) twin-screw… More >

  • Open Access

    ARTICLE

    Lightweight Multi-scale Convolutional Neural Network for Rice Leaf Disease Recognition

    Chang Zhang1, Ruiwen Ni1, Ye Mu1,2,3,4, Yu Sun1,2,3,4,*, Thobela Louis Tyasi5

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 983-994, 2023, DOI:10.32604/cmc.2023.027269

    Abstract In the field of agricultural information, the identification and prediction of rice leaf disease have always been the focus of research, and deep learning (DL) technology is currently a hot research topic in the field of pattern recognition. The research and development of high-efficiency, high-quality and low-cost automatic identification methods for rice diseases that can replace humans is an important means of dealing with the current situation from a technical perspective. This paper mainly focuses on the problem of huge parameters of the Convolutional Neural Network (CNN) model and proposes a recognition model that combines a multi-scale convolution module with… More >

  • Open Access

    ARTICLE

    Predicting Carpark Prices Indices in Hong Kong Using AutoML

    Rita Yi Man Li1, Lingxi Song2, Bo Li2,3, M. James C. Crabbe4,5,6, Xiao-Guang Yue7,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 2247-2282, 2023, DOI:10.32604/cmes.2022.020930

    Abstract The aims of this study were threefold: 1) study the research gap in carpark and price index via big data and natural language processing, 2) examine the research gap of carpark indices, and 3) construct carpark price indices via repeat sales methods and predict carpark indices via the AutoML. By researching the keyword “carpark” in Google Scholar, the largest electronic academic database that covers Web of Science and Scopus indexed articles, this study obtained 999 articles and book chapters from 1910 to 2019. It confirmed that most carpark research threw light on multi-storey carparks, management and ventilation systems, and reinforced… More > Graphic Abstract

    Predicting Carpark Prices Indices in Hong Kong Using AutoML

  • Open Access

    ARTICLE

    Effects of Ultrasonic Seed Treatment on Rice Performances under the Seawater Irrigation

    Yingying Zhang1,2,3, Jinhai Liu1,2,3, Zhuosheng Yan4, Gangshun Rao5, Xiangru Tang1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 121-130, 2023, DOI:10.32604/phyton.2022.022697

    Abstract Irrigation with desalinated seawater is an effective way to use ocean resources and save freshwater resources. However, seawater irrigation would cause yield loss of rice. In order to explore the effects of ultrasonic seed treatment on rice performances under seawater irrigation, the present study was conducted with three irrigation treatments (fresh water (SW0), ten times diluted seawater (SW1%, 0.34% salinity), and five times diluted seawater (SW2%, 0.68% salinity)) and two seed treatments (ultrasonic treated seeds (UT) and untreated seeds (CK)). Compared with SW0 + CK treatment, SW1 + CK and SW2 + CK treatments significantly decreased grain yield by 56.19%… More >

  • Open Access

    ARTICLE

    Estimating Carbon Capture Potential of Fallow Weeds in Rice Cropping Systems

    Ge Chen1,2, Yuling Kang1, Fangbo Cao1, Jiana Chen1, Min Huang1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 71-77, 2023, DOI:10.32604/phyton.2022.022313

    Abstract Weeds occurred during the fallow season can well perform the function of carbon (C) capture due to receiving little human disturbance. This study aimed to evaluate the C capture potential of fallow weeds in rice (Oryza sativa L.) cropping systems. A six-region, two-year on-farm investigation and a three-year tillage experiment were conducted to estimate C capture in fallow weeds in rice cropping systems. The on-farm investigation showed that the average mean C capture by fallow weeds across six regions and two years reached 112 g m–2. The tillage experiment indicated that no-tillage practices increased C capture by fallow weeds by… More >

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