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
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.