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Equine veterinary journal1979; 11(1); 39-47; doi: 10.1111/j.2042-3306.1979.tb01295.x

Body composition of the horse.

Abstract: Seventeen horses were dissected and their organs and tissues weighed. The results of these dissections are presented together with comparisons of the data with that already available in the literature. Predictive equations for organs and tissue weights are also given which were derived by comparison of linear and allometric regression models using 4 different body weight indices.
Publication Date: 1979-01-01 PubMed ID: 428363DOI: 10.1111/j.2042-3306.1979.tb01295.xGoogle Scholar: Lookup
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  • Comparative Study
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research article is about a study where seventeen horses were dissected to garner data about their body composition and correlations among different organ and tissue weights. This study contributes to the existing literature, with predictive equations for organ and tissue weights also presented.

Research Methodology

  • The researchers conducted this study on a sample of seventeen horses. The choice of this sample size is not mentioned, however, it’s a common practice to take a representative sample in such studies.
  • The researchers performed dissections on these horses and weighed their different organs and tissues to collect data for analysis. Although the specific organs and tissues dissected are not mentioned, they would most likely include major organs and muscle tissues.

Analysis and Findings

  • The researchers presented the data they collected alongside comparisons with data that were already available in previous research. This comparative approach is typical in scientific studies to determine whether new findings align with or deviate from existing knowledge.
  • The study not only aimed to collect and present raw data from the dissections, but also to provide predictive equations for organ and tissue weights. These equations were derived using linear and allometric regression models.
  • The predictive equations were grounded on four different body weight indices. While the text doesn’t specify which indices these were, they typically include measures like body mass index (BMI), lean body mass (LBM), and other such metrics.

Contribution to Existing Research

  • This research contributes to the existing literature in equine biology and veterinary science by providing new data from recent dissections.
  • The study’s predictive equations add a new set of tools for predicting organ and tissue weight in horses. These could be useful in practical settings such as veterinary medicine, where such predictions might inform non-invasive examinations, treatment plans, or surgical procedures.

Limitations and Future Research

  • The study’s limited sample size of seventeen horses may affect its generalizability. Future research might explore the same topic using a larger sample size or a more diverse sample to confirm or refine the findings.
  • The article does not specify whether the horses used in the study were of the same breed, age, or health status, which could influence the organ and tissue weights. Future research could consider these factors to see if they have significant effects on the results.

Cite This Article

APA
Webb AI, Weaver BM. (1979). Body composition of the horse. Equine Vet J, 11(1), 39-47. https://doi.org/10.1111/j.2042-3306.1979.tb01295.x

Publication

ISSN: 0425-1644
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 11
Issue: 1
Pages: 39-47

Researcher Affiliations

Webb, A I
    Weaver, B M

      MeSH Terms

      • Adipose Tissue / anatomy & histology
      • Animals
      • Body Composition
      • Body Weight
      • Female
      • Horses / anatomy & histology
      • Liver / anatomy & histology
      • Lung / anatomy & histology
      • Male
      • Muscles / anatomy & histology
      • Organ Size

      Citations

      This article has been cited 9 times.
      1. Urbanek N, Zebeli Q. Morphometric Measurements and Muscle Atrophy Scoring as a Tool to Predict Body Weight and Condition of Horses.. Vet Sci 2023 Aug 9;10(8).
        doi: 10.3390/vetsci10080515pubmed: 37624301google scholar: lookup
      2. Uldahl M, Dahl J, Clayton HM. Body Condition Score in Danish Horses Related to Type, Use, and Training Level: Patterns, Risk, and Protective Factors.. Animals (Basel) 2023 Mar 31;13(7).
        doi: 10.3390/ani13071219pubmed: 37048475google scholar: lookup
      3. Pratt-Phillips S, Munjizun A. Impacts of Adiposity on Exercise Performance in Horses.. Animals (Basel) 2023 Feb 14;13(4).
        doi: 10.3390/ani13040666pubmed: 36830453google scholar: lookup
      4. Chusyd DE, Nagy TR, Golzarri-Arroyo L, Dickinson SL, Speakman JR, Hambly C, Johnson MS, Allison DB, Brown JL. Adiposity, reproductive and metabolic health, and activity levels in zoo Asian elephant (Elephas maximus).. J Exp Biol 2021 Jan 26;224(Pt 2).
        doi: 10.1242/jeb.219543pubmed: 33500325google scholar: lookup
      5. Mittelman NS, Engiles JB, Murphy L, Vudathala D, Johnson AL. Presumptive Iatrogenic Microcystin-Associated Liver Failure and Encephalopathy in a Holsteiner Gelding.. J Vet Intern Med 2016 Sep;30(5):1747-1751.
        doi: 10.1111/jvim.14571pubmed: 27611818google scholar: lookup
      6. Morrison PK, Bing C, Harris PA, Maltin CA, Grove-White D, Argo CM. Preliminary investigation into a potential role for myostatin and its receptor (ActRIIB) in lean and obese horses and ponies.. PLoS One 2014;9(11):e112621.
        doi: 10.1371/journal.pone.0112621pubmed: 25390640google scholar: lookup
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        doi: 10.7717/peerj.299pubmed: 24711963google scholar: lookup
      8. Ramsay WN. Age-related storage of iron in the liver of horses.. Vet Res Commun 1994;18(4):261-8.
        doi: 10.1007/BF01839192pubmed: 7831755google scholar: lookup
      9. Brown CM, Sonea I, Nachreiner RF, Obradovich JE. Serum immunoreactive gastrin activity in horses: basal and postprandial values.. Vet Res Commun 1987;11(6):497-501.
        doi: 10.1007/BF00396366pubmed: 3451568google scholar: lookup