Search

Your search keyword '"De Vries, Albert"' showing total 81 results
Start Over Author "De Vries, Albert"
81 results on '"De Vries, Albert"'

71. Dairy Business Analysis Project: 2001 Financial Summary

Author

De Vries, Albert, primary, Giesy, Russell, primary, Ely, L., primary, De Araujo, A., primary, Andreasen, Andy, primary, Broaddus, Brent, primary, Eubanks, Shepard, primary, Mayo, Doug, primary, Miller, P., primary, Seawright, Travis, primary, and Vann, Chris, primary

Published
1969
Full Text
View/download PDF

81. The use of animal activity data and milk components as indicators of clinical mastitis

Author

Tholen, Andrea, Dairy Science, Petersson-Wolfe, Christina S., Akers, Robert Michael, De Vries, Albert, and Currin, John F.

Subjects
animal activity, milk component, detection, mastitis
Abstract

A study was conducted to examine the correlation between a novel behavior monitoring system and a validated data logger. We concluded that the behavior monitoring system was valid for tracking daily rest time in dairy cows (R=0.96); however the correlation values for rest bouts and rest duration were relatively low, (R=0.64) (R=0.47), respectively. Daily monitoring of animal activity and milk components can be used to detect mastitis prior to clinical onset. Data from 268 cases with clinical mastitis and respective controls (n=268) from Virginia Tech and the University of Florida dairy herds were examined. Variables collected included daily milk yield, electrical conductivity, milk fat, protein, and lactose percent, as well as activity measurements including daily rest time, daily rest duration, daily rest bouts, and daily steps taken. Variables were collected for case and control cows in the 14 d prior to and after clinical diagnosis, for a total 29 d monitoring period. A milk sample was aseptically collected upon detection of clinical signs as observed by milker's at both farms. A statistical method (candisc discriminant analysis) was used to combine all measurements and sensitivity and specificity was calculated. Virginia Tech cows on d -1 (sensitivity=95%, specificity=95%), Virginia Tech and University of Florida cows on d -1 (sensitivity=88%, specificity=90). Overall, daily monitoring of animal activity and milk components can detect mastitis prior to onset of clinical signs of disease. This may allow producers to intervene and make proactive management decisions regarding herd health prior to clinical diagnosis. Master of Science

Published
2012

Catalog

Books, media, physical & digital resources
See catalog results