Literature DB >> 15471629

Monitoring and testing dairy herds for metabolic disease.

Garrett R Oetzel1.   

Abstract

Clinical impressions of metabolic disease problems in dairy herds can be corroborated with herd-based metabolic testing. Ruminal pH should be evaluated in herds showing clinical signs associated with SARA (lame cows, thin cows, high herd removals or death loss across all stages of lactation, or milk fat depression). Testing a herd for the prevalence of SCK via blood BHB sampling in early lactation is useful in almost any dairy herd, and particularly if the herd is experiencing a high incidence of displaced abomasum or high removal rates of early lactation cows. If cows are experiencing SCK within the first 3 weeks of lactation, then consider NEFA testing of the prefresh cows to corroborate prefresh negative energy balance. Finally, monitoring cows on the day of calving for parturient hypocalcemia can provide early detection of diet-induced problems in calcium homeostasis. If hypocalcemia problems are present despite supplementing anionic salts before calving, then it may be helpful to evaluate mean urinary pH of a group of the prefresh cows. Quantitative testing strategies based on statistical analyses can be used to establish minimum sample sizes and interpretation guidelines for all of these tests.

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Year:  2004        PMID: 15471629     DOI: 10.1016/j.cvfa.2004.06.006

Source DB:  PubMed          Journal:  Vet Clin North Am Food Anim Pract        ISSN: 0749-0720            Impact factor:   3.357


  40 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.  Reference limits for biochemical and hematological analytes of dairy cows one week before and one week after parturition.

Authors:  Gerardo F Quiroz-Rocha; Stephen J LeBlanc; Todd F Duffield; Darren Wood; Ken E Leslie; Robert M Jacobs
Journal:  Can Vet J       Date:  2009-04       Impact factor: 1.008

3.  FGF-21: promising biomarker for detecting ketosis in dairy cows.

Authors:  Chuang Xu; Qiushi Xu; Yuanyuan Chen; Wei Yang; Cheng Xia; Hongjiang Yu; Kuilin Zhu; Taiyu Shen; Ziyang Zhang
Journal:  Vet Res Commun       Date:  2016-01-04       Impact factor: 2.459

4.  Characterization of metabolic and inflammatory profiles of transition dairy cows fed an energy-restricted diet.

Authors:  Giulia Esposito; Emiliano Raffrenato; Somwe D Lukamba; Mounir Adnane; Pete C Irons; Paul Cormican; Taurai Tasara; Aspinas Chapwanya
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

5.  Retrospective Evaluation of Method of Treatment, Laboratory Findings, and Concurrent Diseases in Dairy Cattle Diagnosed with Left Displacement of the Abomasum during Time of Hospitalization.

Authors:  Theresa Tschoner; Yury Zablotski; Melanie Feist
Journal:  Animals (Basel)       Date:  2022-06-27       Impact factor: 3.231

6.  Bovine subclinical ketosis in dairy herds in Iran.

Authors:  M Sakha; M Ameri; H Sharifi; I Taheri
Journal:  Vet Res Commun       Date:  2007-02-07       Impact factor: 2.459

7.  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

8.  A field study on glucose, non-esterified fatty acids, beta-hydroxybutyrate and thyroid hormones in dairy cows during the breeding period in Fars province, Iran.

Authors:  M Mohebbi-Fani; A Omidi; A Mirzaei; S Nazifi; Kh Nowroozi
Journal:  Iran J Vet Res       Date:  2019       Impact factor: 1.376

9.  Relationship among blood indicators of lipomobilization and hepatic function during early lactation in high-yielding dairy cows.

Authors:  Felix Diaz González; Rodrigo Muiño; Víctor Pereira; Rómulo Campos; José Luis Benedito
Journal:  J Vet Sci       Date:  2011-09       Impact factor: 1.672

10.  The effects of post-partum drops in body condition on indices of energy metabolism in mid-lactation Holstein cows.

Authors:  A Omidi; M Mohebbi-Fani; S Nazifi; A Mirzaei; M Seirafinia
Journal:  Iran J Vet Res       Date:  2019       Impact factor: 1.376

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