Use of molecular and milk production information for the cost-effective diagnosis of bovine viral diarrhoea infection in New Zealand dairy cattle

Abstract

An increase in veterinary and farmer interest in bovine viral diarrhoea (BVD) in New Zealand over recent years led to requests for cost-effective identification of BVD virus (BVDV) infected herds and individuals. This study was undertaken to determine if the use of real-time reverse transcriptase polymerase chain reaction (RT-PCR) technology and dairy cow production data could identify persistently infected (PI) animals in milking herds. Milk samples were collected from the vats of dairy herds and tested for the presence of BVDV by RT-PCR till four herds were found containing PI animals. Individual serum samples were then collected from every cow in the herd and tested by both RT-PCR and antigen capture enzyme-linked immunosorbent assays (ACE) to identify the PI animals. Individual animal testing found 1/223, 1/130, 2/800 and 1/275 PI's respectively in the four herds. Based on these results a maximum pool size of 400 cows contributing to the bulk tank milk was selected. After removal of the PI from the herds, further bulk milk samples were shown to be BVDV negative by RT-PCR. All the PI animals identified by this method were found in the lowest producing 10–20% of herd. This approach of targeted testing of dairy herds using PCR technology, in conjunction with animal production information, markedly reduced the cost of diagnostic testing for BVDV in dairy herds in New Zealand. Questionnaire follow-up on 81 BVDV-positive herds (15% of those tested) indicated the stratification approach identified milking PIs successfully over 90% of the time and reduced the number of individual tests to 12% of the milking herd.