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  • Open Access


    Monitoring Thosea sinensis Walker in Tea Plantations Based on UAV Multi-Spectral Image

    Lin Yuan1, Qimeng Yu1, Yao Zhang2,*, Xiaochang Wang3, Ouguan Xu1, Wenjing Li1

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 747-761, 2023, DOI:10.32604/phyton.2023.025502

    Abstract Thosea sinensis Walker (TSW) rapidly spreads and severely damages the tea plants. Therefore, finding a reliable operational method for identifying the TSW-damaged areas via remote sensing has been a focus of a research community. Such methods also enable us to calculate the precise application of pesticides and prevent the subsequent spread of the pests. In this work, based on the unmanned aerial vehicle (UAV) platform, five band images of multispectral red-edge camera were obtained and used for monitoring the TSW in tea plantations. By combining the minimum redundancy maximum relevance (mRMR) with the selected spectral features,… More >

  • Open Access


    Enhanced Disease Identification Model for Tea Plant Using Deep Learning

    Santhana Krishnan Jayapal1, Sivakumar Poruran2,*

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1261-1275, 2023, DOI:10.32604/iasc.2023.026564

    Abstract Tea plant cultivation plays a significant role in the Indian economy. The Tea board of India supports tea farmers to increase tea production by preventing various diseases in Tea Plant. Various climatic factors and other parameters cause these diseases. In this paper, the image retrieval model is developed to identify whether the given input tea leaf image has a disease or is healthy. Automation in image retrieval is a hot topic in the industry as it doesn’t require any form of metadata related to the images for storing or retrieval. Deep Hashing with Integrated Autoencoders… More >

  • Open Access


    Tea Plantation Frost Damage Early Warning Using a Two-Fold Method for Temperature Prediction

    Zhengyu Wu1, Kaiqiang Li1, Lin Yuan2, Jingcheng Zhang1, Xianfeng Zhou1,*, Dongmei Chen1,*, Kaihua Wei1

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2269-2282, 2022, DOI:10.32604/phyton.2022.022607

    Abstract As the source and main producing area of tea in the world, China has formed unique tea culture, and achieved remarkable economic benefits. However, frequent meteorological disasters, particularly low temperature frost damage in late spring has seriously threatened the growth status of tea trees and caused quality and yield reduction of tea industry. Thus, timely and accurate early warning of frost damage occurrence in specific tea garden is very important for tea plantation management and economic values. Aiming at the problems existing in current meteorological disaster forecasting methods, such as difficulty in obtaining massive meteorological… More >

  • Open Access


    Genome-Wide Characterization of the Cellulose Synthase Gene Superfamily in Tea Plants (Camellia sinensis)

    Qianqian Li1, Qi Zhao1,2,*, Xinzhuan Yao1, Baohui Zhang1, Litang Lu1,2,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2163-2189, 2022, DOI:10.32604/phyton.2022.021530

    Abstract The cellulose synthase gene superfamily, including Cellulose synthase A (CesA) and cellulose synthase-like (Csl) gene families, is responsible for the synthesis of cellulose and hemicellulose, respectively. The CesA/Csl genes are vital for abiotic stress resistance and shoot tenderness regulation of tea plants (Camellia sinensis). However, the CesA/Csl gene family has not been extensively studied in tea plants. Here, we identified 53 CsCesA/Csl genes in tea plants. These genes were grouped into five subfamilies (CsCesA, CsCslB, CsCslD, CsCslE, CsCslG) based on the phylogenetic relationships with Arabidopsis and rice. The analysis of chromosome distribution, gene structure, protein domain and motif revealed that most genes in CsCesA,… More >

  • Open Access


    Mycorrhiza improves plant growth and photosynthetic characteristics of tea plants in response to drought stress


    BIOCELL, Vol.46, No.5, pp. 1339-1346, 2022, DOI:10.32604/biocell.2022.018909

    Abstract Tea plants are sensitive to soil moisture deficit, with the level of soil water being a critical factor affecting their growth and quality. Arbuscular mycorrhizal fungi (AMF) can improve water and nutrient absorption, but it is not clear whether AMF can improve the photosynthetic characteristics of tea plants. A potted study was conducted to determine the effects of Claroideoglomus etunicatum on plant growth, leaf water status, pigment content, gas exchange, and chlorophyll fluorescence parameters in Camellia sinensis cv. Fuding Dabaicha under well-watered (WW) and drought stress (DS) conditions. Root mycorrhizal colonization and soil hyphal length were significantly… More >

  • Open Access


    Population Structure Analysis and Genome-Wide Association Study of Tea (Camellia sinensis (L.) K untze) Germplasm in Qiannan, China, Based on SLAFSeq Technology

    Fen Zhang1, Weili Tian1, Lu Cen1, Litang Lv2, Xiaofang Zeng1, Yulu Chen1, Yichen Zhao2,*, Yan Li1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 791-809, 2022, DOI:10.32604/phyton.2022.018104

    Abstract Duyun Maojian tea is a famous tea in China. In this study, the specific-locus amplified fragment (SLAF) sequencing method was used to analyze the population structure and conduct a genome-wide association study (GWAS) of 2 leaf traits of 123 tea plants in Qiannan, China. A total of 462,019 SLAF tags and 11,362,041 single-nucleotide polymorphism (SNP) loci were obtained. The results of phylogenetic tree analysis, cluster analysis, and principal component analysis showed that 123 tea germplasms were clustered into three groups, and the heterozygosity rates for Groups I, II, and II were 0.206, 0.224, and 0.34,… More >

  • Open Access


    Detection and Discrimination of Tea Plant Stresses Based on Hyperspectral Imaging Technique at a Canopy Level

    Lihan Cui1, Lijie Yan1, Xiaohu Zhao1, Lin Yuan2, Jing Jin3, Jingcheng Zhang1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 621-634, 2021, DOI:10.32604/phyton.2021.015511

    Abstract Tea plant stresses threaten the quality of tea seriously. The technology corresponding to the fast detection and differentiation of stresses is of great significance for plant protection in tea plantation. In recent years, hyperspectral imaging technology has shown great potential in detecting and differentiating plant diseases, pests and some other stresses at the leaf level. However, the lack of studies at canopy level hampers the detection of tea plant stresses at a larger scale. In this study, based on the canopy-level hyperspectral imaging data, the methods for identifying and differentiating the three commonly occurred tea… More >

  • Open Access


    Localization and compartmentation of Al in the leaves and roots of tea plants

    Hajiboland R1,2, C Poschenrieder3

    Phyton-International Journal of Experimental Botany, Vol.84, No.1, pp. 86-100, 2015, DOI:10.32604/phyton.2015.84.086

    Abstract Under acid soil conditions, solubility of aluminum (Al) increases leading to toxicity for plants. Al accumulator species such as tea, however, accumulate high levels of Al in tissues without toxicity symptoms. In this work, Al localization and compartmentation were studied in tea [Camellia sinensis (L.) O. Kuntze] grown hydroponically at 0 or 100 µM Al for eight weeks. Plant dry matter production was significantly higher in the presence of Al and accumulated up to 1.21 and 6.18 mg Al/g DW in the leaves and roots, respectively. About 40-50% of Al was partitioned into cell wall (CW)-bound… More >

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