Crop production must increase to meet the food, feed, and fuel demands of a global population expected to exceed nine billion by 2050. Yet current rates of yield gain are not sufficient, and one in nine people already experience food insecurity. With limited scope to expand agricultural land, improving crop productivity is a major lever to reduce hunger risk. However, key agronomic traits are typically quantitative and controlled by many genes; in wheat, this is further complicated by polyploidy, where most genes occur in two or three copies with overlapping functions, masking the effects of single-locus variation.
dcPolyWheat addresses this bottleneck by combining trait biology, recent advances in wheat genomics and pangenomes, and genome editing to overcome functional redundancy and unlock otherwise inaccessible phenotypic variation. We created publicly accessible germplasm carrying novel regulatory alleles and established experimental and analytical pipelines to identify, engineer, and evaluate variants with potential to improve productivity traits. The project provides a framework that is transferable to other polyploid crops and demonstrates how targeted regulatory variation can contribute to future food security.