FC_2025v8n3

Field Crop 2025, Vol.8, No.3, 102-112 http://cropscipublisher.com/index.php/fc 110 match precision cultivation technology. For example, according to the characteristics of different varieties (light and fertilizer degree, drought resistance, etc.), corresponding cultivation procedures are formulated to maximize the potential of varieties. At the same time, remote sensing and sensor technology can be used to monitor the performance of different varieties in the field, and timely feedback on variety adaptability information can be provided to feed back breeding selection. The intelligent breeding system should also include multi-departmental collaboration, such as information connectivity between breeding units and promotion departments and processing enterprises, timely understanding of market changes and demands, and dynamic adjustment of breeding goals. For example, if the market tends to prefer a certain appearance or flavor, the breeding plan can be tilted accordingly. 7.2 Collaborative optimization of variety promotion and regional layout With the emergence of new varieties of fresh sugarcane, disorderly introduction and homogeneous competition need to be avoided. Regional planting layout of superior varieties should be promoted according to local ecological and market conditions. For example, early-maturing and high-sugar varieties are suitable for planting in South China, while cold-resistant and drought-resistant varieties are promoted in the southwestern plateau (Luo et al., 2015). Through reasonable layout, the advantages of varieties can be maximized. At the same time, it is encouraged to combine excellent fresh sugarcane varieties with production areas to create regional characteristic brands and increase product added value. For example, Guangxi can create the "Guitang Sugarcane" brand to highlight the sweet and juicy characteristics of the Guitang series of varieties; Yunnan can create the "Highland Rich Sugarcane" brand to emphasize the advantages of high sugar and high nutrition. Variety branding helps promote the large-scale planting and market awareness of excellent varieties and form a virtuous circle. In addition, branding also requires the establishment of a sound variety protection and authorization mechanism to protect the rights and interests of breeders and encourage continuous innovation. 7.3 Strengthen international cooperation and gene exchange Fresh sugarcane breeding has common technical needs and challenges worldwide. It is recommended to strengthen international scientific research cooperation, such as conducting germplasm resource exchanges and joint breeding experiments with advanced sugarcane breeding countries (Brazil, Australia, India, etc.) (Wang et al., 2024). Through international cooperation, we can share the special germplasm and key genes from various regions, such as introducing high-juice material from Brazil, special black-skinned sugarcane from India, and high-disease-resistant germplasm from China, integrating different advantages into one. In addition, in terms of flavor quality evaluation standards, we can also explore internationally unified or mutually recognized sensory evaluation methods to facilitate data comparison and exchange of excellent materials in different regions. Global climate change and the spread of pests and diseases are common threats to the sugarcane industry. Through international cooperation, sugarcane varieties that respond to global problems (such as new disease-resistant and extreme climate-resistant varieties) can be cultivated more quickly. International organizations such as the international society of sugarcane technology (ISSCT) can play a platform role, strengthen information exchange and talent training, and jointly promote the improvement of fresh sugarcane breeding levels. Acknowledgments We sincerely thank the research assistants for their support and assistance in the literature review process, which greatly contributed to the smooth progress of this study. 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 Abu-Ellail F., Hussein E., and El-Bakry A., 2020, Integrated selection criteria in sugarcane breeding programs using discriminant function analysis, Bulletin of the National Research Centre, 44(1): 161. https://doi.org/10.1186/s42269-020-00417-6 Aono A.H., Costa E.A., Rody H.V., Nagai J.S., Pimenta R.J., Mancini M.C., dos Santos F.R., Pinto L.R., de Andrade Landell M.G., de Souza A.P., and Kuroshu R.M., 2020, Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance, Scientific Reports, 10(1): 20057. https://doi.org/10.1038/s41598-020-77063-5

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