Bing Wang , Xiuhua Liu , Jie Zhang

Tropical Microbial Resources Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Triticeae Genomics and Genetics, 2025, Vol. 16, No. 6   
Received: 20 Sep., 2025    Accepted: 30 Oct., 2025    Published: 20 Nov., 2025

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.

Fusarium head blight (FHB) of wheat is a fungal disease that seriously affects global wheat yield and food safety. Its resistance breeding has always been limited by inaccurate phenotypic evaluation and low efficiency of resistance gene localization. This study introduced the prevalence mechanism of FHB and the resistance types of wheat, and analyzed the biological basis of its main phenotypic indicators. By constructing a GWAS model based on SNP chips and resequencing data, and conducting joint analysis in combination with multi-dimensional phenotypic information, multiple stably expressed resistance QTLS and candidate genes were identified. It further revealed the regulatory pathways related to the infection, spread and toxin accumulation of scab. In the practical case section, this study reviewed the resistance research practices of representative wheat groups in the United States, China and other places, and verified the application value of combined phenotypic-genotype analysis in the discovery of new resistance resources. This study demonstrates the significant role of high-throughput phenotypes and GWAS integration strategies in enhancing the efficiency of resistance gene mining and phenotypic accuracy, and is expected to achieve new breakthroughs in precise breeding of FHB resistance, providing technical support for ensuring global wheat production security.

Wheat scab; High-throughput phenotype; Genome-wide association analysis (GWAS); Resistant QTL; Candidate gene