PGT_2026v17n2

Plant Gene and Trait 2026, Vol.17, No.2, 74-91 http://genbreedpublisher.com/index.php/pgt 90 Chen S., Wang P.J., Kong W.L., Chai K., Zhang S.C., Yu J., Wang Y., Jiang M., Lei W., Chen X., Wang W., Gao Y., Qu S., Wang F., Wang Y.B., Zhang Q., Gu M., Fang K., Ma C., Sun W., Ye N., Wu H., and Zhang X., 2023, Gene mining and genomics-assisted breeding empowered by the pangenome of tea plant Camellia sinensis, Nature Plants, 9(12): 1986-1999. https://doi.org/10.1038/s41477-023-01565-z Chen Y., Guo M.Q., Chen K., Jiang X.F., Ding Z.Z., Zhang H.W., Lu M., Qi D.D., and Dong C.W., 2024, Predictive models for sensory score and physicochemical composition of Yuezhou Longjing tea using near-infrared spectroscopy and data fusion, Talanta, 273: 125892. https://doi.org/10.1016/j.talanta.2024.125892 Cui H.C., Cheng Z.Q., Shi D., Yin J., Feng Z., Zhao Y., and Zhang J., 2026, Non-volatile metabolomics analysis of heating withering method for processing white tea from Longjing 43 tea variety by 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Y.L., Hu B.Y., Ye H.C., Guo H.W., Chu Q., and Chen P., 2023, Decoding the chemical signatures and sensory profiles of Enshi Yulu: insights from diverse tea cultivars, Plants, 12(21): 3707. https://doi.org/10.3390/plants12213707 Huang D.J., Chen X., Tan R.R., Wang H.J., Jiao L., Tang H.Y., Zong Q.B., and Mao Y.X., 2024, A comprehensive metabolomics analysis of volatile and non-volatile compounds in matcha processed from different tea varieties, Food Chemistry: X, 21: 101234. https://doi.org/10.1016/j.fochx.2024.101234 Li C., Wang X.Y., Zhang D., Chen Y.Q., Jiang X.F., and Ni D.J., 2023a, Study on the variation law of the main mechanical properties in the processing of Longjing tea., Foods, 12(13): 2587. https://doi.org/10.3390/foods12132587 Li H.Z., Song K.K., Zhang X.H., Wang D., Dong S.L., Liu Y., and Yang L., 2023b, Application of multi-perspectives in tea breeding and the main directions, International Journal of Molecular Sciences, 24(16): 12643. https://doi.org/10.3390/ijms241612643 Li W.X., Fang Q.T., Han Q.O., Huang H.H., Zheng X.Q., Lu J.L., Liang Y.R., and Ye J.H., 2025, Different performance of tea plants to shade based on key metabolites and transcriptome profiles: case study of cultivars Longjing 43 and Yabukita, Physiologia Plantarum, 177(1): e70103. https://doi.org/10.1111/ppl.70103 Li Y.C., Zhou J.T., Xu W.L., He C., Zhu J.Y., Zhang D., Chen Y., Yu Z., Wan X., and Ni D., 2024, Key aroma components in Lu’an guapian green tea with different aroma types from five tea tree varieties decoded by sensomics, Food Bioscience, 61: 104551. https://doi.org/10.1016/j.fbio.2024.104551 Liu F., 2024, The influence of plant genomics on plant evolution, MedScien., 9(1): 8mne6e71. https://doi.org/10.61173/8mne6e71 Moreira J., Aryal J., Guidry L., Adhikari A., Chen Y., Sriwattana S., and Prinyawiwatkul W., 2024, Tea quality: an overview of the analytical methods and sensory analyses used in the most recent studies, Foods, 13(22): 3580. https://doi.org/10.3390/foods13223580 Shan X., Deng Y., Niu L., Chen L., Zhang S., Jiang Y., Yuan H., Wang Y., and Li J., 2023a, The influence of fixation temperature on Longjing tea taste profile and the underlying non-volatile metabolites changes unraveled by combined analyses of metabolomics and E-tongue, LWT, 191: 115560. https://doi.org/10.1016/j.lwt.2023.115560 Shan X.J., Niu L.C., Zhang Q.T., Fang Z.Z., Feng Y.N., Liang R., Xu Z.X., Zhang S., Chen L., Dai W., Zhou Q., Jiang Y., Yuan H., and Li J., 2025, Quantitative non-volatile sensometabolome of Longjing tea and discrimination of taste quality by sensory analysis large-scale quantitative metabolomics and machine learning, Food Chemistry, 485: 144496. https://doi.org/10.1016/j.foodchem.2025.144496 Shan X.J., Yu Q.Y., Chen L., Zhang S., Zhu J.Y., Jiang Y.W., Yuan H.B., Zhou Q., Li J., Wang Y., Deng Y., and Li J., 2023b, Analyzing the influence of withering degree on the dynamic changes in non-volatile metabolites and sensory quality of Longjing green tea by non-targeted metabolomics, Frontiers in Nutrition, 10: 1104926. https://doi.org/10.3389/fnut.2023.1104926 Shen Y., He X., Zu F., Huang X., Yin S., Wang L., Geng F., and Cheng X., 2024, Development of genome-wide intron length polymorphism (ILP) markers in Tea Plant (Camellia sinensis) and related applications for genetics research, International Journal of Molecular Sciences, 25(6): 3241. https://doi.org/10.3390/ijms25063241

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