Literature DB >> 28987591

A dynamic model to simulate potassium balance in dairy cows.

M Berg1, J Plöntzke2, S Leonhard-Marek3, K E Müller4, S Röblitz1.   

Abstract

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.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dairy cow; mathematical model; network; ordinary differential equation; potassium balance

Mesh:

Substances:

Year:  2017        PMID: 28987591     DOI: 10.3168/jds.2016-12443

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


  2 in total

1.  Effects of Parity and Stage of Lactation on Trend and Variability of Metabolic Markers in Dairy Cows.

Authors:  Linda L Walter; Tanja Gärtner; Erhard Gernand; Axel Wehrend; Karsten Donat
Journal:  Animals (Basel)       Date:  2022-04-13       Impact factor: 3.231

2.  Model-based exploration of the impact of glucose metabolism on the estrous cycle dynamics in dairy cows.

Authors:  Mohamed Omari; Alexander Lange; Julia Plöntzke; Susanna Röblitz
Journal:  Biol Direct       Date:  2020-01-15       Impact factor: 4.540

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.