Feature Review

Review of Genetic Mapping and Marker-Assisted Selection in Potato Breeding  

Yuxu Zhang 2 , Shijun Zhu 1 , Jinbo  Zhou 1 , Fang  Wang 1
1 Zhejiang Wanli College, Ningbo, 315100, Zhejiang, China
2 Ningbo Academy of Agricultural Sciences, Ningbo, 315040, Zhejiang, China
Author    Correspondence author
Molecular Plant Breeding, 2025, Vol. 16, No. 1   doi: 10.5376/mpb.2025.16.0006
Received: 28 Dec., 2024    Accepted: 21 Jan., 2025    Published: 10 Feb., 2025
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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.
Preferred citation for this article:

Zhang Y.X., Zhu S.J., Zhou J.B., and Wang F., 2025, Review of genetic mapping and marker-assisted selection in potato breeding, Molecular Plant Breeding, 16(1): 55-62 (doi: 10.5376/mpb.2025.16.0006)

Abstract

This study systematically analyzes the development and effectiveness of genetic mapping and marker-assisted selection (MAS) in potato breeding, focusing on the application of these methods in disease resistance, agronomic trait improvement, and yield enhancement, as well as the significant results achieved. The findings indicate that MAS has greatly improved the selection efficiency for resistance to major diseases such as late blight and PVY virus and has shown positive outcomes in enhancing complex agronomic traits like drought tolerance. Practical applications of MAS in breeding disease-resistant potato varieties further confirm its efficacy in developing resistant cultivars, with notable breakthroughs in combating polygenic diseases. This study also explores the challenges faced in implementing MAS, analyzing current limitations in the study of complex traits. It anticipates that innovations in genomics and bioinformatics tools will drive MAS applications in polygenic traits, aiming to further enhance breeding efficiency.

Keywords
Marker-assisted selection (MAS); Genetic mapping; Disease resistance; Agronomic trait improvement; Polygenic traits
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