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    28 September 2022, Volume 29 Issue 5 Previous Issue    Next Issue

    Letter
    Review
    Research Paper
    Experimental Technique
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    Letter
    Breeding Effects and Genetic Compositions of a Backbone Parent (Fengbazhan) of Modern indica Rice in China
    Zhao Lei, Zhou Shaochuan, Wang Chongrong, Li Hong, Huang Daoqiang, Wang Zhidong, Zhou Degui, Chen Yibo, Gong Rong, Pan Yangyang
    2022, 29(5): 397-401.  DOI: 10.1016/j.rsci.2022.07.001
    Abstract ( )   HTML ( )   PDF (8189KB) ( )  
    A Simple and Rapid Oxidative Stress Screening Method of Small Molecules for Functional Studies of Transcription Factor
    Vanitha Adhinarayanreddy, Preethi Vijayaraghavareddy, Ashwin Vargheese, Sujitha Dadi, Akshay Uttarkar, Vidya Niranjan, Anuradha Venkatraman, Sheshshayee M. Sreeman, Ramu S. Vemanna
    2022, 29(5): 402-406.  DOI: 10.1016/j.rsci.2022.07.002
    Abstract ( )   HTML ( )   PDF (8944KB) ( )  
    Identification of New Allele of FLOURY ENDOSPERM2 in White-Core Endosperm Mutant of Rice
    Bao Jinsong, Zhang Yu, Zhao Jiajia, Chen Yaling, Wu Weixun, Cao Liyong, Xu Feifei
    2022, 29(5): 407-411.  DOI: 10.1016/j.rsci.2022.07.003
    Abstract ( )   HTML ( )   PDF (7856KB) ( )  
    Review
    Saline-Alkali Tolerance in Rice: Physiological Response, Molecular Mechanism, and QTL Identification and Application to Breeding
    Ratan Kumar Ganapati, Shahzad Amir Naveed, Sundus Zafar, Wang Wensheng, Xu Jianlong
    2022, 29(5): 412-434.  DOI: 10.1016/j.rsci.2022.05.002
    Abstract ( )   HTML ( )   PDF (14011KB) ( )  

    Salinity-alkalinity is incipient abiotic stress that impairs plant growth and development. Rice (Oryza sativa) is a major food crop greatly affected by soil salinity and alkalinity, requiring tolerant varieties in the saline-alkali prone areas. Understanding the molecular and physiological mechanisms of saline-alkali tolerance paves the base for improving saline-alkali tolerance in rice and leads to progress in breeding. This review illustrated the physiological consequences, and molecular mechanisms especially signaling and function of regulating genes for saline-alkali tolerance in rice plants. We also discussed QTLs regarding saline-alkali tolerance accordingly and ways of deployment for improvement. More efforts are needed to identify and utilize the identified QTLs for saline-alkali tolerance in rice.

    Improve Anthocyanin and Zinc Concentration in Purple Rice by Nitrogen and Zinc Fertilizer Application
    Suchila Utasee, Sansanee Jamjod, Sittisavet Lordkaew, Chanakan Prom-U-Thai
    2022, 29(5): 435-450.  DOI: 10.1016/j.rsci.2022.07.004
    Abstract ( )   HTML ( )   PDF (7580KB) ( )  

    Zinc (Zn) is an essential micronutrient for plant growth and development, and anthocyanin is a secondary metabolite compound generally produced under stress conditions; both have benefits to human health. Rice is a staple food crop for most of the world’s population, and purple rice is well known as a natural source of Zn and anthocyanins, but their stability depends upon many factors. This review focuses on the opportunity to increase Zn and anthocyanin compounds in purple rice grains via Zn and nitrogen (N) management during cultivation. Variation in grain Zn concentration and anthocyanin compounds is found among purple rice varieties, thus presenting a challenge for breeding programs aiming at high grain Zn and anthocyanin contents. Genetic engineering has successfully achieved a high-efficiency vector system comprising two regulatory genes and six structural anthocyanin-related genes driven by endosperm-specific promoters to engineer purple endosperm rice that can provide new high-anthocyanin varieties. Grain Zn and anthocyanin concentrations in rice can also be affected by environmental factors during cultivation, e.g., light, temperature, soil salinity and nutrient (fertilizer) management. Applying N and Zn fertilizer is found to influence the physiological mechanisms of Zn absorption, uptake, transport and remobilization to promote grain Zn accumulation in rice, while N application can improve anthocyanin synthesis by promoting its biosynthesis pathway via the use of phenylalanine as a precursor. In summary, there is an opportunity to improve both grain Zn and anthocyanin in purple rice by appropriate management of Zn and N fertilizers during cultivation for specific varieties.

    Research Paper
    Coleoptile Purple Line Regulated by A-P Gene System Is a Valuable Marker Trait for Seed Purity Identification in Hybrid Rice
    Du Shuanglin, Wang Zhongwei, Chen Yun, Tan Yao, Li Xiang, Zhu Wenping, He Guanghua, Lei Kairong, Guo Longbiao, Zhang Yi
    2022, 29(5): 451-461.  DOI: 10.1016/j.rsci.2022.07.005
    Abstract ( )   HTML ( )   PDF (15214KB) ( )  

    In plants, a large number of anthocyanin biosynthetic genes encoding enzymes and regulatory genes encoding transcription factors are required for anthocyanin synthesis. Coleoptile purple lines are two purple lines on both sides of coleoptiles after seed germination. However, the molecular mechanism of coleoptile purple line is not clear in rice so far. In this study, two major dominant genes, coleoptile purple line 1 (OsCPL1, also known as OsC1) and coleoptile purple line 2 (OsCPL2), were isolated via map-based cloning, and both of them were required for anthocyanin biosynthesis of coleoptile purple line in rice. The knockout and complementation experiments confirmed that OsC1 was required for purple color in most organs, such as coleoptile line, sheath, auricle, stigma and apiculus, whereas OsCPL2 was just required for coleoptile purple line. OsC1 was predominantly expressed in coleoptiles, flag leaves, and green panicles, and highly expressed in young leaves, whereas OsCPL2 was predominantly expressed in coleoptiles, and extremely lowly expressed in the other tested organs. Loss-of-function of either OsC1 or OsCPL2 resulted in significant reduction of transcript levels of multiple anthocyanin biosynthesis genes in coleoptiles. Coleoptile purple line was further used as a marker trait in hybrid rice. Purity identification in hybrid rice seeds via coleoptile purple line just needed a little water, soil and a small plate and could be completed within 5 d. Molecular marker and field identification analyses indicated that coleoptile purple line was reliable for the hybrid seed purity identification. Our findings disclosed that coleoptile purple line in rice was regulated by two major dominant genes, OsC1 and OsCPL2, and can be used as a simple, rapid, accurate and economic marker trait for seed purity identification in hybrid rice.

    Genetic Dissection of Grain Size Traits Through Genome-Wide Association Study Based on Genic Markers in Rice
    Amrit Kumar Nayak, Anilkumar C, Sasmita Behera, Rameswar Prasad Sah, Gera Roopa Lavanya, Awadhesh Kumar, Lambodar Behera, Muhammed Azharudheen Tp
    2022, 29(5): 462-472.  DOI: 10.1016/j.rsci.2022.07.006
    Abstract ( )   HTML ( )   PDF (16273KB) ( )  

    Grain size plays a significant role in rice, starting from affecting yield to consumer preference, which is the driving force for deep investigation and improvement of grain size characters. Quantitative inheritance makes these traits complex to breed on account of several alleles contributing to the complete trait expression. We employed genome-wide association study in an association panel of 88 rice genotypes using 142 new candidate gene based SSR (cgSSR) markers, derived from yield-related candidate genes, with the efficient mixed-model association coupled mixed linear model for dissecting complete genetic control of grain size traits. A total of 10 significant associations were identified for four grain size-related characters (grain weight, grain length, grain width, and length-width ratio). Among the identified associations, seven marker trait associations explain more than 10% of the phenotypic variation, indicating major putative QTLs for respective traits. The allelic variations at genes OsBC1L4, SHO1 and OsD2 showed association between 1000-grain weight and grain width, 1000-grain weight and grain length, and grain width and length-width ratio, respectively. The cgSSR markers, associated with corresponding traits, can be utilized for direct allelic selection, while other significantly associated cgSSRs may be utilized for allelic accumulation in the breeding programs or grain size improvement. The new cgSSR markers associated with grain size related characters have a significant impact on practical plant breeding to increase the number of causative alleles for these traits through marker aided rice breeding programs.

    Wheat Straw Burial Improves Physiological Traits, Yield and Grain Quality of Rice by Regulating Antioxidant System and Nitrogen Assimilation Enzymes under Alternate Wetting and Drying Irrigation
    Yousef Alhaj Hamoud, Hiba Shaghaleh, Wang Ruke, Willy Franz Gouertoumbo, Amar Ali Adam hamad, Mohamed Salah Sheteiwy, Wang Zhenchang, Guo Xiangping
    2022, 29(5): 473-488.  DOI: 10.1016/j.rsci.2022.07.007
    Abstract ( )   HTML ( )   PDF (24655KB) ( )  

    Wheat straw burial has great potential to sustain rice production under alternate wetting and drying (AWD) irrigation. A field experiment was conducted with three wheat straw burial treatments, including without straw burial (NSB), with light straw burial of 300 kg/hm2 (LSB) and dense straw burial of 800 kg/hm2 (DSB), as well as three AWD regimes: alternate wetting/moderate drying (AWMD), alternate wetting/severe drying (AWSD) and alternate wetting/critical drying (AWCD). The rice growth and grain quality were higher in LSB and NSB than those in NSB under the same AWD regime. The AWMD × DSB treatment resulted in the highest yield, brown rice rate, milled rice rate, amylose content and protein content. Conversely, the AWCD × NSB treatment led to the lowest yield, brown rice rate, milled rice rate, amylose content and protein content. The active absorption area and nitrate reductase activity of roots were higher in the AWMD × DSB treatment than those in the AWCD × NSB treatment, as the former increased organic carbon and nitrogen contents in the rhizosphere, whereas the latter reduced their availability. Total soluble protein content and glutamine synthetase activity were greater in the AWMD × DSB treatment than those in the AWCD × NSB treatment. The activities of superoxide dismutase and catalase were higher in the AWMD × DSB treatment compared with the AWCD × NSB treatment, leading to the amelioration of oxidative cell injury, as shown by a lower malonaldehyde level. This study suggested that farmers should implement AWMD irrigation after leaving the straw residues in the field, followed by deep tillage to improve soil quality and mitigate the drought stress cycles of AWD. This approach can improve rice growth and grain quality and alleviate the problems of disposal of straw residues and water scarcity for sustainable rice production.

    Experimental Technique
    Computer-Assisted Real-Time Rice Variety Learning Using Deep Learning Network
    Pandia Rajan Jeyaraj, Siva Prakash Asokan, Edward Rajan Samuel Nadar
    2022, 29(5): 489-498.  DOI: 10.1016/j.rsci.2022.02.003
    Abstract ( )   HTML ( )   PDF (14339KB) ( )  

    Due to the inconsistency of rice variety, agricultural industry faces an important challenge of rice grading and classification by the traditional grading system. The existing grading system is manual, which introduces stress and strain to humans due to visual inspection. Automated rice grading system development has been proposed as a promising research area in computer vision. In this study, an accurate deep learning-based non-contact and cost-effective rice grading system was developed by rice appearance and characteristics. The proposed system provided real-time processing by using a NI-myRIO with a high-resolution camera and user interface. We firstly trained the network by a rice public dataset to extract rice discriminative features. Secondly, by using transfer learning, the pre-trained network was used to locate the region by extracting a feature map. The proposed deep learning model was tested using two public standard datasets and a prototype real-time scanning system. Using AlexNet architecture, we obtained an average accuracy of 98.2% with 97.6% sensitivity and 96.4% specificity. To validate the real-time performance of proposed rice grading classification system, various performance indices were calculated and compared with the existing classifier. Both simulation and real-time experiment evaluations confirmed the robustness and reliability of the proposed rice grading system.