Bioscience Methods 2025, Vol.16, No.2, 108-116 http://bioscipublisher.com/index.php/bm 114 Scientists who study disease-resistant sugarcane have to concentrate on several important things. First, they need to study more diseases. At the moment, scientists only study three important diseases: SCMV, red rot, and brown rust. By studying more diseases, we can learn more about how sugarcane fights infection. Scientists need to create improved computer programs to sort out which plants of sugarcane will be most resistant to disease. The latest attempts involving "attention mechanisms" appear to hold a great deal of promise. It also needs to combine various kinds of information-not only genetic information, but also growing conditions and characteristics of the plants. This will allow the growth of sugarcane that not only resists disease, but also exhibits healthy growth under a broad range of environmental conditions. Acknowledgments We are deeply grateful to Mr. Rudi Mai and Mr. Qixue Liang for their invaluable support in data compilation and verification, which significantly contributed to refining our manuscript. We also wish to express our sincere appreciation to the two anonymous reviewers for their thorough evaluation and constructive feedback, which greatly enhanced the quality of this work. Funding This study was supported by the Research and Training Fund of the Hainan Institute of Tropical Agricultural Resources (Project No. H2025-03). Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Ahmad S., Wei X., Sheng Z., Hu P., and Tang S., 2020, CRISPR/Cas9 for development of disease resistance in plants: recent progress, limitations and future prospects, Briefings in Functional Genomics, 19(1): 26-39. https://doi.org/10.1093/bfgp/elz041 Borrelli V., Brambilla V., Rogowsky P., Marocco A., and Lanubile A., 2018, The enhancement of plant disease resistance using CRISPR/Cas9 technology, Frontiers in Plant Science, 9: 1245. https://doi.org/10.3389/fpls.2018.01245 Boubakri H., 2023, Recent progress in CRISPR/Cas9-based genome editing for enhancing plant disease resistance, Gene, 866: 147334. https://doi.org/10.1016/j.gene.2023.147334 Chen C., Bhuiyan S., Ross E., Powell O., Dinglasan E., Wei X., Atkin F., Deomano E., and Hayes B., 2024, Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches, Frontiers in Plant Science, 15: 1398903. https://doi.org/10.3389/fpls.2024.1398903 Darvishzadeh R., Heidari A., and Maleki H., 2016, Identification of SSR markers associated with resistance to potato virus Y in tobacco germplasm, Genetics in the Third Millennium, 14(2): 4262-4269. Hidayah N., McNeil M., Li J., Bhuiyan S., Galea V., and Aitken K., 2021, Resistance mechanisms and expression of disease resistance-related genes in sugarcane (Sacchrum officinarum) to Sporisorium scitamineuminfection, Functional Plant Biology, 48(12): 1302-1314. https://doi.org/10.1071/FP21122 Ige A., Olasanmi B., Mbanjo E., Kayondo I., Parkes E., Kulakow P., Egesi C., Bauchet G., Ng E., Lopez-Lavalle L., Ceballos H., and Rabbi I., 2021, Conversion and validation of uniplex SNP markers for selection of resistance to cassava mosaic disease in cassava breeding programs, Agronomy, 11(3): 420. https://doi.org/10.3390/AGRONOMY11030420 Islam M., McCord P., Olatoye M., Qin L., Sood S., Lipka A., and Todd J., 2021 Experimental evaluation of genomic selection prediction for rust resistance in sugarcane, The Plant Genome, 14(3): e20148. https://doi.org/10.1002/tpg2.20148 Jiang Z., Zhao M., Qin H., Li S., and Yang X., 2023, Genome-wide analysis of NBS-LRR genes revealed contribution of disease resistance fromSaccharum spontaneumto modern sugarcane cultivar, Frontiers in Plant Science, 14: 1091567. https://doi.org/10.3389/fpls.2023.1091567 Li J.Q., 2024a, Harnessing natural genetic diversity: the impact of wild rice alleles on cultivated varieties, Rice Genomics and Genetics, 15(3): 132-141. https://doi.org/10.5376/rgg.2024.15.0014 Li Y.Z., 2024b, Starch biosynthesis and engineering starch yield and properties in cassava, Molecular Plant Breeding, 15(2): 63-69. https://doi.org/10.5376/mpb.2024.15.0008 Lin H., Jiang Z., He T., Li G., Zhao M., Su L., Zhao J., Zou C., and Yang X., 2024, Mining of candidate genes and developing molecular markers associated with Pokkah Boeng resistance in sugarcane (Saccharumspp.), Plants, 13(24): 3497. https://doi.org/10.3390/plants13243497
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