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Equine veterinary journal1984; 16(3); 189-191; doi: 10.1111/j.2042-3306.1984.tb01900.x

A “standard horse” for use in physiologically based mathematical modelling.

Abstract: Standard data for the horse which can be used in physiologically based mathematical computer modelling are presented. The data includes figures for tissue mass, density and perfusion, obtained by measurement mainly from horses weighing 200 to 300 kg. Other related parameters such as mean transit times and tissue blood volume have been calculated and included in the actual values listed for a 250 kg horse.
Publication Date: 1984-05-01 PubMed ID: 6734584DOI: 10.1111/j.2042-3306.1984.tb01900.xGoogle Scholar: Lookup
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Summary

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The research article presents standard data about horses including tissue mass, density and perfusion, which is intended for use in physiologically based mathematical computer models.

Research Overview

The study focuses on putting together a comprehensive data set for horses, including critical biological metrics such as tissue mass, density, and blood perfusion. This data is primarily derived from the records of horses whose weight ranges between 200 kg to 300 kg. The intention is to provide a standardized data framework which can be used in mathematical models for in-depth physiological study or simulations.

Methodology and Findings

In this study,

  • The researchers compiled data noticeably for horses that weigh between 200 and 300 kilograms. This weight category was perhaps chosen to reflect a ‘standard’ or average horse.
  • The primary focus was on gathering statistics about three core parameters: tissue mass, tissue density, and tissue perfusion. Tissue mass and density provide insights into the physical structure and composition of the horse, while tissue perfusion refers to the blood flow through the tissues, which is a vital aspect of a horse’s physiology.
  • In addition to collecting this primary data, the researchers also calculated several related parameters such as mean transit times and tissue blood volume. Mean transit times possibly denote the average time taken for blood or other fluids to pass through a particular tissue or the body as a whole. On the other hand, tissue blood volume could represent the volume of blood present in a particular tissue or the overall volume of blood in the horse’s body.
  • All of these statistics and values were then used to design a comprehensive physical and physiological profile of a ‘standard’ horse, particularly targeting a 250 kg horse. The data collated can be beneficial for a variety of purposes, including the development of physiologically based mathematical models in computational biology or veterinary medicine.

Significance and Applications

Collecting and presenting this kind of standardised data for the horse can serve several purposes, such as:

  • Helping in the creation of accurate and efficient computer models simulating horse physiology, which can be used in research, veterinary medicine, and animal science.
  • Serving as a benchmark for comparing and contrasting the data of other individual horses or horse breeds, aiding in the identification of deviations or abnormalities.
  • Assisting in the development of new treatment and management strategies for horses, based on detailed physiological information.

Overall, the data provided can act as a valuable resource for various fields involved in understanding and enhancing the health and welfare of horses.

Cite This Article

APA
Staddon GE, Weaver BM, Lunn CE. (1984). A “standard horse” for use in physiologically based mathematical modelling. Equine Vet J, 16(3), 189-191. https://doi.org/10.1111/j.2042-3306.1984.tb01900.x

Publication

ISSN: 0425-1644
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 16
Issue: 3
Pages: 189-191

Researcher Affiliations

Staddon, G E
    Weaver, B M
      Lunn, C E

        MeSH Terms

        • Animals
        • Blood Circulation
        • Blood Volume
        • Body Composition
        • Horses / physiology
        • Models, Biological
        • Organ Specificity
        • Reference Standards
        • Statistics as Topic

        Citations

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