The present investigation is focused on the perceived attribute complexity, measured in terms of cognitive complexity and application complexity of the dairy innovations selected for the study. Cognitive complexity of the innovations is in turn measured as simple and complex and adaptability is measured based on its feasibility as adaptable and un adaptable for the nine innovations selected for the study. A sample of 360 dairy farmers were selected using simple random sampling technique from three districts ., Visakhapatnam, Krishna and Chittoor based on the highest livestock population from the three respective regions ., North coastal, Coastal and Rayalaseema regions of Andhra Pradesh. The innovations ., Package of practices for feeding and management of heifers, pregnant and lactating animals; Feeding of area specific mineral mixture; Cultivation and feeding of Azolla, Strategies for enhancement of milk yield and quality and Use of information and communication technologies were felt as simple and adaptable by majority (90%) of the respondents while the innovations Formulation and feeding of complete feed blocks; Cultivation and feeding of hydroponic fodder; Use of milking machine and Marketing strategies to improve milk sales were found difficult for adoption by most (53%) of the respondents. | Role of the attribute complexity in adoption of selected dairy innovations
