Dataset Information

Potassium balance in lactating and non-lactating dairy cows

ABSTRACT: M. Berg, J. Plöntzke, S. Leonhard-Marek, K.E. Müller & S. Röblitz. A dynamic model to simulate potassium balance in dairy cows. Journal of Dairy Science 100, 12 (2017). High-performing dairy cows require a particular composition of nutritional ingredients, adapted to their individual requirements and depending on their production status. The optimal dimensioning of minerals in the diet, one being potassium, is indispensable for the prevention of imbalances. Potassium balance in cows is the result of potassium intake, distribution in the organism, and excretion, and it is closely related to glucose and electrolyte metabolism. In this paper, we present a dynamical model for potassium balance in lactating and nonlactating dairy cows based on ordinary differential equations. Parameter values were obtained from clinical trial data and from the literature. To verify the consistency of the model, we present simulation outcomes for 3 different scenarios: potassium balance in (1) nonlactating cows with varying feed intake, (2) nonlactating cows with varying potassium fraction in the diet, and (3) lactating cows with varying milk production levels. The results give insights into the short- and long-term potassium metabolism, providing an important step toward the understanding of the potassium network, the design of prophylactic feed additives, and possible treatment strategies.

SUBMITTER: Julia Plöntzke

PROVIDER: BIOMD0000000849 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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			Action	DRS
	BIOMD0000000849?filename=Berg2017-biopax2.owl	Owl
	BIOMD0000000849?filename=Berg2017-biopax3.owl	Owl
	BIOMD0000000849?filename=Berg2017-matlab.m	Other
	BIOMD0000000849?filename=Berg2017-octave.m	Other
	BIOMD0000000849?filename=Berg2017.cps	Other

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Publications

External validation of prognostic models among cancer patients undergoing emergency colorectal surgery.

Ertan Tamer T Yoldas Omer O Kilic Yusuf Alper YA Kilic Mehmet M Göcmen Erdal E Koc Mahmut M Tez Mesut M

American journal of surgery 20080401 4

<h4>Background</h4>The aim of this study was to evaluate the predictive accuracy of different scoring systems on patients undergoing emergency colorectal surgery.<h4>Methods</h4>The Acute Physiology and Chronic Health Evaluation II or III, the Simplified Acute Physiology Score II, the Mortality Probability Model II, and the Colo-rectal POSSUM scoring systems were applied to 102 patients who underwent colorectal resection for cancer. Validation of scoring systems was tested by assessing calibrati ...[more]

PMID: 18304513

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