Unravelling the genetic architecture of soybean tofu quality traits

• DOI: 10.1007/s11032-024-01529-x
• Publication Date: 2025-01-03T07:14:32Z
• Authors: Cleo A. Döttinger; Kim A. Steige; Volker Hahn; Kristina Bachteler; Willmar L. Leiser; Xintian Zhu; Tobias Würschum
• Keywords: Genetic architecture; Marker-Assisted Selection

Abstract Tofu is a popular soybean ( Glycine max (L.) Merr.) food with long tradition in Asia and rising popularity worldwide, including Central Europe. Due to the labour-intensive phenotyping procedures, breeding for improved tofu quality challenging. Therefore, our objective was unravel genetic architecture of traits relevant production order assess potential marker-assisted selection genomic these traits. To this end, we performed QTL mapping 188 genotypes from biparental population. The population evaluated two-location field trial, produced laboratory evaluate quality. We identified all investigated agronomic traits, each explaining between 6.40% 27.55% genotypic variation, most important yield hardness. Both showed strong negative correlation r = -0.65), consequently pleiotropic on chromosome 10 found opposite effects hardness weight, highlighting need balance both Four jointly explained 68.7% variation are possible targets stacking by selection. exploit also small-effect QTL, revealed moderate high mean prediction accuracies ranging 0.47 0.78. In conclusion, inheritance highly quantitative, present valuable tools advance breeding.