International Journal of Molecular Evolution and Biodiversity, 2025, Vol.15, No.2, 64-72 http://ecoevopublisher.com/index.php/ijmeb 70 build a more stable agricultural production system. In terms of ensuring future food supply, its role in scientific and technological empowerment has become increasingly prominent, injecting new momentum into the global food supply system (Voss-Fels et al., 2018). 7.3 Acceptance of GS-bred varieties by farmers and consumers Whether GS breeding results can be widely adopted ultimately depends on the degree of recognition of multiple subjects. Farmers value the stable yield and risk resistance of new varieties, while consumers are more concerned about food quality, nutritional value and safety (Krishnappa et al., 2021). Therefore, technological breakthroughs alone are far from enough, and a public trust mechanism must also be established. A sound policy supervision system, a transparent product labeling system, and targeted popular science publicity will play a key role in promoting the marketization of GS varieties (Budhlakoti et al., 2022). When technological innovation is effectively connected with terminal demand, the socioeconomic potential of genomic selection will be truly released, thereby promoting the in-depth development of agricultural modernization. 8 Future Prospects 8.1 Integration of genomic selection with artificial intelligence The deep integration of artificial intelligence technology and genomic selection is creating a new era of breeding. Machine learning algorithms significantly improve the accuracy of phenotypic prediction by integrating multi-dimensional omics data. This intelligent prediction model can effectively reduce the resource investment of traditional phenotypic identification, and further optimize the prediction efficiency by integrating intermediate phenotypic data such as metabolome and transcriptome (Tong and Nikoloski, 2020). The genomic selection system empowered by artificial intelligence is expected to realize the intelligence of breeding decision-making and bring a qualitative leap in potato breeding efficiency. 8.2 Broader adoption and application in breeding programs As the maturity of technology continues to improve, the application breadth of genomic selection in potato breeding is constantly expanding. This technology has shown significant advantages in improving complex traits such as yield, quality and resistance. The substantial reduction in genotyping costs and the continuous optimization of prediction models have created favorable conditions for technology promotion (Sverrisdóttir et al., 2018). However, the complexity of polyploid inheritance is still an important constraint on prediction accuracy, which requires targeted solutions. 8.3 Recommendations for policy support and international collaboration The large-scale application of genomic selection requires the dual drive of policy support and international cooperation. The policy level should focus on supporting the construction of genotyping platforms and talent training to provide continuous impetus for technological innovation (Caruana et al., 2019). The deepening of international cooperation will promote the sharing of germplasm resources and genomic data, and help develop more universal prediction models (Wang et al., 2018). Establishing a unified technical standard and method system and promoting the international dissemination of best practices will be a key measure to improve the level of global potato breeding. Acknowledgments Thanks Mrs. Xu M. from the Institute of Life Science of Jiyang College of Zhejiang A&F University for her reading and revising suggestion. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Beketova M., Chalaya N., Zoteyeva N., Gurina A., Kuznetsova M., Armstrong M., Hein I., Drobyazina P., Khavkin E., and Rogozina Е., 2021, Combination breeding and marker-assisted selection to develop late blight resistant potato cultivars, Agronomy, 11(11): 2192. https://doi.org/10.20944/preprints202110.0209.v1
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