Ruoruo Wang¹ , Luo Wang¹ , Degang Zhao^1,2

1 Plant Conservation & Breeding Technology Center, Guizhou Key Laboratory of Agricultural Biotechnology/Biotechnology Institute of Guizhou Province, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, Guizhou, China
2 The Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences / Institute of AgroBioengineering, Guizhou University, Guiyang, 550025, Guizhou, China
Author    Correspondence author
Molecular Plant Breeding, 2024, Vol. 15, No. 5   
Received: 18 Aug., 2024    Accepted: 20 Sep., 2024    Published: 28 Sep., 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.

Eucommia ulmoides is a tree species with significant medicinal and industrial value. In recent years, some progress has been made in the genetic improvement of E. ulmoides through the construction of high-density genetic maps and the identification of massive quantitative trait loci (QTLs). This study focuses on the integrated application of QTL mapping and genomic selection (GS) in the breeding of E. ulmoides. By integrating current researches, the study analyzes the role of QTL mapping in identifying loci associated with growth traits, secondary metabolites, and yield, and discusses the potential of applying this information in GS models to enhance breeding efficiency. The results indicate that combining QTL mapping with GS methods can significantly improve the accuracy of selecting complex traits and help accelerate the breeding of superior Eucommia varieties. This study provides theoretical support for future genetic research and breeding strategies in E. ulmoides, promoting the development of varieties with higher economic and ecological value.

Eucommia ulmoides; QTL mapping; Genomic selection; Genetic linkage map; Breeding efficiency