Feasibility of high immune response (HIR) technology as a health management tool to characterize immune response profiles of dairy cattle View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

L. Wagter-Lesperance , S. Cartwright , T. Funk , D. Kelton , F. Miglior , B. Mallard

ABSTRACT

High Immune Response (HIR) is a patented evaluation technology that has the potential to improve the health and food quality of dairy cattle through the reduction of antibiotics and enhanced resistance to economically important diseases such as mastitis. The test includes a blood sample to evaluate antibody-mediated immune response (AMIR) and a skin thickness measurement to evaluate cell-mediated immune response (CMIR). Dairy cattle with a high immune response to test antigens are at a lower risk for developing disease compared to average and low responding animals. Focus groups conducted in two Ontario dairy regions indicated significant interest in HIR (75% of producers) for culling, grouping, treating, and breeding animals. Pre-commercialization activities are underway to conduct: (1) a quantitative market assessment of interest in HIR throughout Ontario (n=128 producers, 3% of Ontario herds) to confirm qualitative focus group data; (2) HIR testing of Ontario AI cull-sires as an application of HIR and to demonstrate no cross-reactivity with governmental health testing; (3) a validation study of previous research to rank cattle based on antibody from milk in lieu of blood (n=21 cows); and (4) beta-testing of HIR on one to two Ontario dairy herds to demonstrate the economic value of HIR (n=250-350 animals per herd). Knowledge transfer and communication research of the HIR technology are also being conducted by attending dairy symposia throughout Ontario to speak to producers and veterinarians, to provide information media, and to recruit participants for educational workshops about HIR. More... »

PAGES

359-366

Book

TITLE

Udder Health and Communication

ISBN

978-90-8686-742-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.3920/978-90-8686-742-4_69

DOI

http://dx.doi.org/10.3920/978-90-8686-742-4_69

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007171620


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