Literature DB >> 9684300

Evaluation of a milk test for detection of subclinical ketosis.

R Jorritsma1, S J Baldée, Y H Schukken, T Wensing, G H Wentink.   

Abstract

This study included 190 lactating cows from eight dairy farms and was designed to investigate the sensitivity and specificity of a milk test (Ketolac) for detecting subclinical ketosis in dairy cattle. Blood and milk samples were collected between 38 and 50 days post partum. At a beta-hydroxybutyric acid concentration in blood of 1.2 mmol/L, the prevalence of ketosis was 14%. A Response Operator Characteristic curve was drawn for two milk test values: 100 mumol/L and 200 mumol/L. Assessment of several beta-hydroxybutyric acid cut-off values in blood showed that when 100 mumol/L on the Ketolac milk test was defined positive, the most desirable sensitivity-specificity combination was achieved. This milk test can be routinely used to screen a herd for subclinical ketosis.

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Year:  1998        PMID: 9684300     DOI: 10.1080/01652176.1998.9694851

Source DB:  PubMed          Journal:  Vet Q        ISSN: 0165-2176            Impact factor:   3.320


  4 in total

1.  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

2.  Genome-wide association analysis for β-hydroxybutyrate concentration in Milk in Holstein dairy cattle.

Authors:  S Nayeri; F Schenkel; A Fleming; V Kroezen; M Sargolzaei; C Baes; A Cánovas; J Squires; F Miglior
Journal:  BMC Genet       Date:  2019-07-16       Impact factor: 2.797

3.  Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example.

Authors:  Haifang Ni; Irene Klugkist; Saskia van der Drift; Ruurd Jorritsma; Gerrit Hooijer; Mirjam Nielen
Journal:  PLoS One       Date:  2021-01-14       Impact factor: 3.240

4.  The Use of Multilayer Perceptron Artificial Neural Networks to Detect Dairy Cows at Risk of Ketosis.

Authors:  Edyta A Bauer; Wojciech Jagusiak
Journal:  Animals (Basel)       Date:  2022-01-29       Impact factor: 2.752

  4 in total

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