Jiong Fu

Hainan Provincial Key Laboratory of Crop Molecular Breeding, Sanya, 572000, Hainan, China
Author    Correspondence author
International Journal of Molecular Evolution and Biodiversity, 2025, Vol. 15, No. 2   
Received: 16 Jan., 2025    Accepted: 22 Feb., 2025    Published: 08 Mar., 2025

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This study deeply explored the theoretical basis and methodological path of genomic selection (GS) technol-ogy, and comprehensively evaluated its transformation potential and practical application results in the field of potato breeding. Based on multi-level data integration, the study clearly revealed the remarkable achieve-ments of GS in increasing tuber yield, optimizing nutritional quality and enhancing disease resistance. In multiple breeding systems around the world, GS has shown irreplaceable advantages: it not only effectively shortens the breeding cycle, but also significantly improves the prediction accuracy of target traits, and has the ability to improve multiple traits at the same time. Especially in the context of the complex tetraploid and highly heterozygous genome of potato, GS technology has successfully broken through the technical bottle-neck of traditional breeding in late blight resistance and greatly improved the breeding efficiency of excellent varieties. The study also analyzed the value of seed industry innovation promoted by GS technology. The re-sults showed that the promotion of new varieties bred by GS not only significantly increased the economic benefits of farmers, but also achieved an effective reduction in the amount of pesticide application, injecting new momentum into the development of green agriculture. With the continuous optimization of artificial in-telligence algorithms and the in-depth integration of multi-omics data, GS technology is moving towards a higher level of intelligent and precise development. This study has laid a solid scientific foundation for pro-moting the large-scale deployment of GS in potato breeding, and also provided a clear direction and strategic support for the modernization transformation of the traditional breeding system.

 

Genomic selection; Potato breeding; Genomic data; Disease-resistant breeding; Seed industry innovation