Genome-wide association study reveals marker-trait associations for key agronomic and grain quality traits in durum wheat under rainfed and irrigated conditions in Turkish environments
摘要
Durum wheat is a key crop for global food security, valued for both its agronomic performance and end-use quality. Understanding the genetic basis of complex traits is essential for effective breeding. In this study, we evaluated a diverse panel of 123 durum wheat genotypes, comprising Turkish and foreign cultivars along with ex situ and in situ landraces, across six environments over three growing seasons under both rainfed and supplemental irrigation conditions. Field experiments were conducted using an α-lattice design with two replications. A genome-wide association study (GWAS) was performed using 14,255 high-quality single-nucleotide polymorphism (SNP) and SilicoDArT markers and the Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK) model to identify marker-trait associations (MTAs) for heading time, plant height, thousand-kernel weight, grain protein content, grain starch content, and test weight. Population structure analysis based on these markers revealed general genetic differentiation between landraces and modern cultivars.
Significant MTAs were identified for all evaluated traits, including environmentally recurrent associations for plant height and putative pleiotropic associations involving grain protein content, grain starch content, plant height, and thousand-kernel weight. The most environmentally consistent association was detected for plant height across five of the six environments, whereas putative pleiotropic associations were limited to one or two environments and therefore require further validation. Candidate-gene analysis identified annotated genes with potential roles in detoxification, redox metabolism, and grain development near selected loci. Our findings highlight the unexploited potential of Türkiye’s durum wheat genetic resources and identify promising loci for further validation and fine-mapping toward their potential application in marker-assisted selection.