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Featured researches published by John Fetrow.


Journal of Equine Veterinary Science | 1986

A field evaluation of oxibendazole in horses infected with benzimidazole resistant small strongyles

Christine Uhlinger; Colin Johnston; John Fetrow

Summary Horses with a history of frequent benzimidazole (BZD) treatment were used in a trial to assess the effectiveness of oxibendazole (OBZ). Initial investigations established that these animals were infected with small strongyles resistant to thiabendazole (TBZ), mebendazole (MBZ), cambendazole (CBZ), oxfendazole (OXF) and fenbendazole (FBZ). The herd was subsequently divided into four groups and received TBZ, CBZ, OBZ, or no treatment. OBZ effectly reduced fecal egg counts. Similar reductions were not observed with TBZ or CBZ.


Journal of Veterinary Diagnostic Investigation | 1991

Influence of Inoculum Volume in Diagnosis of Environmental Mastitis from Clinical Quarters

Kevin L. Anderson; Donald P. Wesen; John Fetrow

Diagnosis of acute clinical mastitis is often difficult because milk samples from such cases commonly produce no detectable growth. As many as one-third of milk samples from acute mastitis cases have produced no detectable organisms when cultured using standard procedures. One method used to improve diagnosis of mastitis is the plating of larger volumes of milk inoculum.4,8,12 The purpose of this study was to determine if plating a volume of milk inoculum larger than the standard 0.01 ml from clinical mastitis cases would produce an increase in the number of cases in which a bacterial cause was diagnosed. In Experiment 1 (comparison of 0.05 vs. 0.01 ml of inoculum), 234 samples were obtained prior to treatment from 201 cows with clinical mastitis on 5 North Carolina dairies from January 1987 to January 1988. In Experiment 2 (comparison of 0.10 vs. 0.01 ml of inoculum), an additional 127 milk samples were obtained by similar methods from the same dairies during 1988. The dairies included 3 Holstein herds maintained by the North Carolina Department of Agriculture (139, 193, and 144 milking cows, respectively) and 2 herds maintained by North Carolina State University (137 milking Jerseys and 140 Holsteins, respectively). Herds studied were free of Streptococcus agalactiae, and bulk-tank milk samples were examined at intervals not >60 days. Mycoplasma spp. isolations had not been made from any bulktank milk sample examined. Clinical mastitis was defined as the presence of grossly detectable abnormalities of the milk or the mammary gland. Milkers detected mastitis in the parlor during udder preparation. If abnormalities were detected, milkers were instructed to prepare affected quarters aseptically using recommended techniques’ and to collect milk samples into sterile glass vials. Samples were frozen at -20 C immediately after collection and were submitted to the laboratory at intervals not >2 weeks. Samples were handled in this manner for convenience and to approximate conditions under which samples are handled in actual field diagnosis of mastitis. Standard microbiology techniques were used in isolation and identification of microorganisms from milk samples. 1,3 For each sample in Experiment 1, 0.01and 0.05-ml samples were inoculated onto halves of trypticase soy agar with 5%


Preventive Veterinary Medicine | 1993

Application of portfolio theory in decision-tree analysis

David T. Galligan; Charles F. Ramberg; C.R. Curtis; James D. Ferguson; John Fetrow

A general application of portfolio analysis for herd decision tree analysis is described. In the herd environment, this methodology offers a means of employing population-based decision strategies that can help the producer control economic variation in expected return from a given set of decision options. An economic decision tree model regarding the use of prostaglandin in dairy cows with undetected estrus was used to determine the expected return of the decisions to use prostaglandin and breed on a timed basis, use prostaglandin and then breed on sign of estrus, or breed on signs of estrus. The risk attributes of these decision alternatives were calculated from the decision tree, and portfolio theory was used to find the efficient decision combinations (portfolios with the highest return for a given variance). The resulting combinations of decisions could be used to control return variation.


Journal of Dairy Science | 1990

Calculating Selected Reproductive Indices: Recommendations of the American Association of Bovine Practitioners

John Fetrow; David McClary; Robert Harman; Ken Butcher; L.D. Weaver; Erich Studer; James Ehrlich; Wayne Etherington; Walt Guterbock; Donald Klingborg; Jeffrey K. Reneau; N.B. Williamson


Journal of Dairy Science | 1991

Production Losses from Mastitis: Carry-Over from the Previous Lactation

John Fetrow; Debora Mann; Ken Butcher; B.T. McDaniel


Journal of Dairy Science | 1988

Herd Composite Somatic Cell Counts: Average Linear Score and Weighted Average Somatic Cell Count Score and Milk Production

John Fetrow; Kevin L. Anderson; Susan Sexton; Ken Butcher


Javma-journal of The American Veterinary Medical Association | 1985

Economic decisions in veterinary practice: a method for field use.

John Fetrow; Madison Jb; David T. Galligan


Javma-journal of The American Veterinary Medical Association | 1984

Economic decisions in food animal practice: to treat or not to treat?

Madison Jb; John Fetrow; David T. Galligan


Journal of Dairy Science | 1991

Application of Portfolio Theory in Decision Tree Analysis

David T. Galligan; Charles F. Ramberg; Charles Curtis; James D. Ferguson; John Fetrow


Journal of Veterinary Internal Medicine | 1988

A Field Evaluation of Benzimidazole and Nonbenzimidazole Drugs in a Herd of Dairy Goats

Christine Uhlinger; John Fetrow; Colin Johnstone

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David T. Galligan

University of Pennsylvania

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Ken Butcher

North Carolina State University

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Kevin L. Anderson

North Carolina State University

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Christine Uhlinger

North Carolina State University

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Donald P. Wesen

North Carolina State University

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James D. Ferguson

University of Pennsylvania

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Susan Sexton

North Carolina State University

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B.T. McDaniel

North Carolina State University

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C.R. Curtis

University of Pennsylvania

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