he breeding of yield, quality, and resistance to disease in sugar beet (Beta vulgaris L.), relies on understanding the interrelationships among agronomic traits. In current research, sixteen sugar beet hybrids were evaluated under field conditions in Miandoab, Iran, for morphological, physiological, sugar quality, and rhizomania disease-related traits. Hybrids were assessed for leaf width, leaf length, petiole length, plant height, canopy coverage, plant number, growth score, root uniformity, sugar content, sodium, potassium, α-amino nitrogen, alkalinity coefficient, white sugar yield, and rhizomania infection parameters. The dataset was analyzed using a biplot model, which enabled visualization of hybrid-trait interactions, exploration of trait associations, and evaluation of discriminative potential of each trait. The first two principal components explained 73% of variation. Leaf length, leaf width, plant height, and canopy coverage exhibited the highest discriminative potential, while sugar content, alkalinity coefficient, and white sugar yield were critical for extractable sugar. Positive associations were observed between sugar content, alkalinity coefficient, and white sugar yield, whereas sodium, potassium, and α-amino nitrogen were negatively associated with these key quality traits. Traits associated with vegetative vigor grouped together, highlighting their primary role in biomass production rather than direct sugar accumulation. In contrast, disease-related traits formed a distinct cluster, illustrating the negative effects of rhizomania on root quality and yield. The biplot facilitated the identification of ideal entries: hybrids H1, H2, and H3 performed best across most traits, while in terms of rhizomania tolerance, H16, H10, H11, H13, H14, and H15 exhibited low infection levels. Hybrids H15 and H16 are recommended as superior candidates for ideotype-based breeding programs
