Path analysis of the regression equation can be used to see the direct and also indirect influence of some exogenous variables against endogenous variables. The rate of feed technology adoption as an endogenous variables can be directly or indirectly influenced by some exogenous variables. The purpose of this research was to test multiple exogenous characteristics variables of dairy cows farms against the feed technology adoption rate as endogenous variables, through path analysis. Research conducted in the city of Padang Panjang, West Sumatra in particular farmer group of dairy cattle in 2016. Endogenous variable is the level of adoption of feed technology (Z). Whereas the exogenous variables are the level of education (X₁), the age of farmer (X₃), the amount of cow's lactation (X₂), farm scale (Y₁) and milk production (Y₂). The last two variables are variables which are bridging the influence indirectly. Obtained results showed that only X₃ which directly influenced Z, with a value of ρ_Zx3 = 0.834 and P = 0.018. Other variables X₁ and X₂ partly significantly influenced Y₁ and X₂ significantly influenced Y₂ with value of path coefficient in successively ρ_y1x1 = 0.133 and P = 0.040; ρ_y1x2 = 0.982 and P = 0.000; ρ_y2x2 = 0.841 and P = 0.008. Therefore, there was no special model of causal relationships between the empirical variables X and Y against Z, except the X₃ which had structure model Z = ρ_Zx3 X₃ + ρ_Zε2 = 0.834 X₃ + 0.217 ε₂. It was concluded that the age strongly influenced the feeding technology adoption. The older the age of farmers, the more difficult for adopting recommended technology.