Kaiwen Liang , Wenzhong Huang

Hainan Institute of Tropical Agricultural Resources, Sanya, 572025, Hainan, China
Author    Correspondence author
Plant Gene and Trait, 2024, Vol. 15, No. 5   
Received: 09 Sep., 2024    Accepted: 11 Oct., 2024    Published: 19 Oct., 2024

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.

The production of Welsh onion (Allium fistulosum L.), a vital vegetable crop, is often challenged by various diseases that lead to reduced yield and quality, posing a significant threat to agricultural productivity. Enhancing the yield of Welsh onion to meet market demands is also a key objective in agricultural research. This study comprehensively describes the types of molecular markers, including Simple Sequence Repeats (SSRs), Single Nucleotide Polymorphisms (SNPs), and Amplified Fragment Length Polymorphisms (AFLPs), showcasing their potential in precision breeding. It further analyzes methods for identifying disease resistance genes, emphasizing the importance of hybridization and selection, field trials, and performance evaluation in the breeding process. Additionally, the study discusses the application of marker-assisted selection (MAS) in improving Welsh onion yield and explores the technical challenges faced in MAS. Through MAS technology, it is possible to accurately locate and introduce genes for yield and disease resistance, enabling the cultivation of Welsh onion varieties resistant to multiple diseases. This approach not only effectively reduces pesticide use and lowers production costs but also ensures the quality and safety of Welsh onions, achieving high-yield goals. Practical application and technological innovation in this area contribute to the advancement of agricultural biotechnology and provide insights and references for the genetic improvement of other crops.

Welsh onion; Marker-assisted selection; Disease resistance; Yield; QTL analysis