Browse Articles

Review Article|27 Feb 2026|OPEN
Genome-wide association studies in horticultural crops: decoding genetic diversity for precision breeding
Dandan Lou1,2,3 , Yuyao Zhang1 , Pengchuan Wu1 , Hui Xiao1 , Fei Guo1 and Xingtan Zhang3 , , Pu Wang1 , , Weilong Kong,1,2,3 ,
1College of Horticulture and Forestry Sciences, Hubei Hongshan Laboratory, National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Hubei Engineering Technology Research Center for Forestry Information, Huazhong Agricultural University, Wuhan 430070, China
2Yuelushan Laboratory, Changsha 410128, China
3Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
*Corresponding author. E-mail: zhangxingtan@cass.cn,pwang@mail.hzau.edu.cn,Weilong.Kong@whu.edu.cn

Horticulture Research 13,
Article number: uhag059 (2026)
doi: https://doi.org/10.1093/hr/uhag059
Views: 1

Received: 01 Sep 2025
Accepted: 15 Feb 2026
Published online: 27 Feb 2026

Abstract

Horticultural crops, including fruits, vegetables, ornamental plants, and tea plants, are vital for economic and nutritional sustainability, yet their cultivation is severely hampered by abiotic stresses such as heat, cold, and salinity. The advent of the grapevine genome in 2007 initiated the genomic era for horticultural species. This milestone facilitated the use of genome-wide association studies (GWAS) to decode the complex phenotypic diversity of these crops. Unlike traditional methods, GWAS utilizes natural genetic diversity to identify quantitative trait loci linked to key traits, offering a high-resolution approach for dissecting traits such as stress resistance, quality, and yield. This review highlights the innovative workflows and technical advancements in GWAS applications for horticultural crops, covering aspects including population design, high-throughput phenotyping, sophisticated statistical modeling, and their applications in horticultural plants. Notably, the integration of multi-omics approaches has enhanced our understanding of the genetic mechanisms underlying critical horticultural traits. Future directions aim at harnessing technological innovations, cross-omics synthesis, and precision breeding strategies to optimize trait selection and expedite the development of resilient cultivars. Consequently, GWAS serves as a crucial bridge linking genomic variation to practical applications in horticultural improvement, enabling a paradigm shift toward predictive breeding and sustainable agricultural practices.