Faba bean (Vicia faba L.), a partially allogamous species, is rich in protein. Condensed tannins limit the use of faba beans as food and feed. Two recessive genes, zt-1 and zt-2, control the zero tannin content in faba bean and promote a white flower phenotype. To determine the inheritance and develop a linkage map for the zt-1 gene in the faba bean germplasm M3290, F₂ and F₃ progenies were derived from the purple flower and high tannin content genotypes Qinghai12 and zt-1 line M3290, respectively. Genetic analysis verified a single recessive gene for zero tannin content and flower colour. In total, 596 SSR markers and 100 ISSR markers were used to test the polymorphisms between the parents and bulks for the contrasting flower colour via Bulked Segregant Analysis (BSA). Subsequently, six SSR markers and seven ISSR markers were used to genotype the entire 413 F₂ population. Linkage analysis showed that the zt-1 gene was closely linked to the SSR markers SSR84 and M78, with genetic distances of 2.9 and 5.8 cM, respectively. The two flanked SSR markers were used to test 34 faba bean genotypes with different flower colours. The closely linked SSR marker SSR84 predicted the zt-1 genotypes with absolute accuracy. The results from the marker-assisted selection (MAS) from this study could provide a solid foundation for further faba bean breeding programmes.

Stripe rust is an important disease affecting wheat production around the world and poses a constant threat to yield. Discovery of new resistance genes is essential for long-term maintenance of resistance. This study used a group of 273 spring wheat landraces collected in northwest China to identify better sources of resistance to stripe rust. The landrace population was planted in five environments to assess adult plant resistance. Both genetic and environmental factors were associated with resistance variation. Several varieties, including Banjiemang, Gezanmai, and Datangsanyuemai, were found to be highly resistant in all environments. Population structure analysis divided the population into six subgroups, and there were significant differences in stripe rust resistance responses between these subgroups. A genome-wide association study (GWAS) was performed using two algorithms to balance the false negative and false positive rates. Eight reliable quantitative trait loci (QTL) and their candidate genes were detected on chromosomes 1B, 2B, 3B, 5A, 6D, and 7A. To determine the resistance of the identified QTL, we evaluated the seedling-stage infection responses of different genotypes to the stripe rust races CYR32 and CYR34. The pyramid effects of favorable alleles have been validated to improve resistance. The identified resistant varieties and QTL will be useful for further improving stripe rust resistance in wheat breeding.