Literature DB >> 12505395

Overview of horse body composition and muscle architecture: implications for performance.

C F Kearns1, K H McKeever, T Abe.   

Abstract

Locomotion requires skeletal muscle to sustain and generate force. A muscle's force potential is proportional to its weight. Since the larger the muscle the larger its potential power output, a better understanding of the proportion of skeletal muscle a horse possesses may lead to a better understanding of horse performance. Several techniques exist to assess body composition, which include dual energy X-ray absorption, underwater (hydrostatic) weighing, derivation from total body water, bio-electric impedance, air displacement, body condition scoring, cadaver dissection and ultrasound. The relevance of each method to the equine industry will be discussed as will the practical information that the existing horse body composition studies have provided. Attention will be given to the data regarding the implications of body composition on the performance horse. The limited number of studies discussing different varieties of muscle architectures and the functional importance of these muscles will also be addressed. These body composition data may provide a better understanding of important issues in horse care that can lead to more optimal horse care techniques and a healthier and safer environment for horses. Copyright 2002 Elsevier Science Ltd.

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Year:  2002        PMID: 12505395     DOI: 10.1053/tvjl.2001.0702

Source DB:  PubMed          Journal:  Vet J        ISSN: 1090-0233            Impact factor:   2.688


  9 in total

1.  The role of the extrinsic thoracic limb muscles in equine locomotion.

Authors:  R C Payne; P Veenman; A M Wilson
Journal:  J Anat       Date:  2004-12       Impact factor: 2.610

2.  Parameters and functional analysis of the deep epaxial muscles in the thoracic, lumbar and sacral regions of the equine spine.

Authors:  J A García Liñeiro; G H Graziotti; J M Rodríguez Menéndez; C M Ríos; N O Affricano; C L Victorica
Journal:  J Anat       Date:  2018-04-30       Impact factor: 2.610

3.  The role of the extrinsic thoracic limb muscles in equine locomotion.

Authors:  R C Payne; P Veenman; A M Wilson
Journal:  J Anat       Date:  2005-02       Impact factor: 2.610

4.  Determination of body proportion factor in draft horses for the use of bioimpedance spectroscopy.

Authors:  Persephone R Greco-Otto; Renaud Léguillette
Journal:  Can Vet J       Date:  2018-06       Impact factor: 1.008

5.  Relationships between body dimensions, body weight, age, gender, breed and echocardiographic dimensions in young endurance horses.

Authors:  D S Trachsel; A Giraudet; D Maso; G Hervé; D D Hauri; E Barrey; C Robert
Journal:  BMC Vet Res       Date:  2016-10-10       Impact factor: 2.741

6.  Expression Quantitative Trait Loci in Equine Skeletal Muscle Reveals Heritable Variation in Metabolism and the Training Responsive Transcriptome.

Authors:  Gabriella Farries; Kenneth Bryan; Charlotte L McGivney; Paul A McGettigan; Katie F Gough; John A Browne; David E MacHugh; Lisa Michelle Katz; Emmeline W Hill
Journal:  Front Genet       Date:  2019-11-26       Impact factor: 4.599

7.  Microvesicles isolated from 5-azacytidine-and-resveratrol-treated mesenchymal stem cells for the treatment of suspensory ligament injury in horse-a case report.

Authors:  Katarzyna Kornicka-Garbowska; Rafał Pędziwiatr; Paulina Woźniak; Katarzyna Kucharczyk; Krzysztof Marycz
Journal:  Stem Cell Res Ther       Date:  2019-12-18       Impact factor: 6.832

8.  A genome scan for positive selection in thoroughbred horses.

Authors:  Jingjing Gu; Nick Orr; Stephen D Park; Lisa M Katz; Galina Sulimova; David E MacHugh; Emmeline W Hill
Journal:  PLoS One       Date:  2009-06-02       Impact factor: 3.240

9.  Adiposity and Reproductive Cycling Status in Zoo African Elephants.

Authors:  Daniella E Chusyd; Janine L Brown; Catherine Hambly; Maria S Johnson; Kari Morfeld; Amit Patki; John R Speakman; David B Allison; Tim R Nagy
Journal:  Obesity (Silver Spring)       Date:  2018-01       Impact factor: 5.002

  9 in total

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