Abstract: Using 10 potato varieties as experimental subjects, this study analyzed the effects of five major agronomic traits including growth period (X₁), plant height (X₂), number of main stems per plant (X₃), tuber dry matter content (X₄), and mediumto-large tuber rate (X₅) on potato yield (Y) through correlation analysis, multiple linear regression analysis and path analysis. The results showed that medium-to-large tuber rate, plant height and growth period were the primary factors influencing potato yield. Correlation analysis revealed a highly significant positive correlation between medium-to-large tuber rate and yield (r=0.449), while plant height showed a significant positive correlation with yield (r=0.273). Increasing plant height and medium-to-large tuber rate could enhance potato yield. Multiple linear stepwise regression analysis demonstrated that the optimal regression equation for potato yield was Y=-65.058+0.454X₁+0.459X₂+0.720X₅. Path analysis coefficients revealed that growth period and plant height exerted indirect effects on yield through medium-to-large tuber rate with coefficients of -0.242 and -0.240 respectively, indicating their substantial influence on potato yield via this pathway.