Academics meet practitioners: Interactive exchange instead of consuming knowledge on dairy calving management

Abstract

AbstractConsensus on optimal calving management is difficult to achieve among veterinarians. Some of this discordance may stem from asymmetry between the literature written by subject matter experts (SME) and the knowledge, attitude and practice (KAP) of non‐SMEs and veterinary practitioners. Hence, the objective of this study was to assess how veterinary practitioners KAPs in calving management compared with the findings in the literature. An online questionnaire survey was conducted prior to a World Buiatrics Congress by delegates (n = 80) who attended a workshop on calving management at which the outcomes of the latter were recorded. The responses from the questionnaire and the consensus from the workshop were compared and these were compared with the literature on calving management, specifically, prediction of calving, assistance at calving and farmer training in calving management. In general, there was good agreement between the aggregated individual responses to the questionnaire and the consensuses from the workshop. The suggested methods of predicting calving were well aligned between practitioners and those researched in the literature but practitioners tended to emphasize more practical aspects of prediction while the literature tends to focus more on the effectiveness of various predictor devices. Practitioners tended to recommend a later time of calving assistance than that recommended in the recent literature though they did also emphasize the importance of calving progress. The majority of practitioners conducted informal (at calving) calving training focusing on time of intervention, welfare‐friendly intervention and delivery of a live healthy calf. However, the educational literature recommends a formal training approach as being more effective. These findings indicate that practitioners may benefit from continuing professional education on the scientific merits/demerits of calving prediction devices, current best practice on intervention timing during calving and formal methods of farmer training on calving management.