Literature DB >> 9839228

Efficacy of monensin for the prevention of subclinical ketosis in lactating dairy cows.

T F Duffield1, D Sandals, K E Leslie, K Lissemore, B W McBride, J H Lumsden, P Dick, R Bagg.   

Abstract

A total of 1010 dry cows and pregnant heifers was randomly selected from 25 dairy farms near Guelph, Ontario, Canada to receive either a controlled-release capsule of monensin or a placebo at 3 wk prior to expected calving. Serum samples were obtained at the time of treatment administration, and both serum and milk samples were collected at wk 1, 2, 3, 6, and 9 postcalving. The threshold used to define subclinical ketosis was selected a priori at a concentration of > or = 1200 mumol/L of beta-hydroxybutyrate. Using this threshold, the prevalence and incidence of subclinical ketosis were significantly reduced (50%) by monensin treatment. The duration of subclinical ketosis for cows that had been treated with monensin was also shorter than that for cows treated with the placebo. Monensin treatment significantly reduced the incidence of subclinical ketosis when the threshold was defined using higher concentrations of serum beta-hydroxybutyrate (1400 and 2000 mumol/L). In addition, monensin significantly reduced the prevalence of positive milk ketone tests.

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Year:  1998        PMID: 9839228     DOI: 10.3168/jds.S0022-0302(98)75846-1

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  18 in total

1.  The effect of storage temperature on the accuracy of a cow-side test for ketosis.

Authors:  Jennifer Hubbard; Stephen LeBlanc; Todd Duffield; Randal Bagg; Jocelyn Dubuc
Journal:  Can Vet J       Date:  2010-05       Impact factor: 1.008

2.  The impact of controlled release capsules of monensin on postcalving haptoglobin concentrations in dairy cattle.

Authors:  Rex G Crawford; Ken E Leslie; Randal Bagg; C Paul Dick; Todd F Duffield
Journal:  Can J Vet Res       Date:  2005-07       Impact factor: 1.310

3.  The relationship between herd level disease incidence and a return over feed index in Ontario dairy herds.

Authors:  Chris J McLaren; Kerry D Lissemore; Todd F Duffield; Ken E Leslie; David F Kelton; Bill Grexton
Journal:  Can Vet J       Date:  2006-08       Impact factor: 1.008

4.  Economic value of ionophores and propylene glycol to prevent disease and treat ketosis in Canada.

Authors:  Khaled Gohary; Michael W Overton; Michael Von Massow; Stephen J LeBlanc; Kerry D Lissemore; Todd F Duffield
Journal:  Can Vet J       Date:  2016-07       Impact factor: 1.008

5.  Utility of inline milk fat and protein ratio to diagnose subclinical ketosis and to assign propylene glycol treatment in lactating dairy cows.

Authors:  Nicholas T Jenkins; Gustavo Peña; Carlos Risco; Carolina C Barbosa; Achilles Vieira-Neto; Klibs N Galvão
Journal:  Can Vet J       Date:  2015-08       Impact factor: 1.008

6.  Comparative proteomic analysis of livers from ketotic cows.

Authors:  Chuang Xu; Zhe Wang
Journal:  Vet Res Commun       Date:  2007-12-13       Impact factor: 2.459

7.  Transition diseases in grazing dairy cows are related to serum cholesterol and other analytes.

Authors:  Pilar Sepúlveda-Varas; Daniel M Weary; Mirela Noro; Marina A G von Keyserlingk
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

8.  How Metabolic Diseases Impact the Use of Antimicrobials: A Formal Demonstration in the Field of Veterinary Medicine.

Authors:  Didier Raboisson; Maxime Barbier; Elise Maigné
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

9.  Assessment of the Relationship between Postpartum Health and Mid-Lactation Performance, Behavior, and Feed Efficiency in Holstein Dairy Cows.

Authors:  Malia J Martin; Kent A Weigel; Heather M White
Journal:  Animals (Basel)       Date:  2021-05-13       Impact factor: 2.752

10.  Connecting Metabolism to Mastitis: Hyperketonemia Impaired Mammary Gland Defenses During a Streptococcus uberis Challenge in Dairy Cattle.

Authors:  Turner H Swartz; Barry J Bradford; Laman K Mamedova
Journal:  Front Immunol       Date:  2021-06-29       Impact factor: 7.561

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