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Journal of animal science2014; 92(5); 2230-2238; doi: 10.2527/jas.2013-6689

Estimation of body weight and development of a body weight score for adult equids using morphometric measurements.

Abstract: Excessive BW has become a major health issue in the equine (Equus caballus) industry. The objectives were to determine if the addition of neck circumference and height improved existing BW estimation equations, to develop an equation for estimation of ideal BW, and to develop a method for assessing the likelihood of being overweight in adult equids. Six hundred and twenty-nine adult horses and ponies who met the following criteria were measured and weighed at 2 horse shows in September 2011 in Minnesota: age ≥ 3 yr, height ≥ 112 cm, and nonpregnant. Personnel assessed BCS on a scale of 1 to 9 and measured wither height at the third thoracic vertebra, body length from the point of shoulder to the point of the buttock, neck and girth circumference, and weight using a portable livestock scale. Individuals were grouped into breed types on the basis of existing knowledge and were confirmed with multivariate ANOVA analysis of morphometric measurements. Equations for estimated and ideal BW were developed using linear regression modeling. For estimated BW, the model was fit using all individuals and all morphometric measurements. For ideal BW, the model was fit using individuals with a BCS of 5; breed type, height, and body length were considered as these measurements are not affected by adiposity. A BW score to assess the likelihood of being overweight was developed by fitting a proportional odds logistic regression model on BCS using the difference between ideal and estimated BW, the neck to height ratio, and the girth to height ratio as predictors; this score was then standardized using the data from individuals with a BCS of 5. Breed types included Arabian, stock, and pony. Mean (± SD) BCS was 5.6 ± 0.9. BW (kg) was estimated by taking [girth (cm)(1.48)6 × length (cm)(0.554) × height (cm)(0.599) × neck (cm)(0.173)]/3,596, 3,606, and 3,441 for Arabians, ponies, and stock horses, respectively (R(2) = 0.92; mean-squared error (MSE) = 22 kg). Ideal BW (kg) was estimated by taking [length (cm) × 2.8] + [height (cm) × 4.2] - 611, 606, and 577 for Arabians, ponies, and stock horses, respectively (R(2) = 0.86; MSE = 24). Equids with a BCS of ≥ 7 had a greater likelihood of being overweight, and the model suggested cutoffs at the 48th and 83rd percentiles for underweight and overweight individuals, respectively. Morphometric measurements were successfully used to develop equid BW-related equations.
Publication Date: 2014-03-18 PubMed ID: 24663191DOI: 10.2527/jas.2013-6689Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research focuses on developing methods to estimate body weight and potential overweight issues in adult horses and ponies. Using various physical measurements, the researchers worked out equations to predict ideal and actual body weight, providing a way to assess if an equid may be overweight.

Study Design and Data Collection

  • The study included 629 adult horses and ponies who were at least 3 years old, had a minimum height of 112 cm, and were not pregnant. The equids were measured and weighed at two horse shows in Minnesota.
  • The variables measured included height at withers (shoulder), body length, neck and girth circumference. The body condition of each equid was also scored on a scale of 1 to 9.
  • The equids were classified into breed types including Arabian, stock, and pony, using existing knowledge and confirmed by analyzing their morphometric data.

Model Development for Body Weight Estimation

  • Both estimated and ideal body weight equations were developed using linear regression modeling.
  • For estimating body weight, all morphometric measurements were used. The model was fit using all the individuals in the study.
  • For determining ideal body weight, only those individuals with a body condition score of 5 were considered. Measurements used included breed type, height, and body length, as these are less likely to be influenced by fat accumulation.
  • The researchers also developed a body weight score to estimate the likelihood of an equid being overweight. This was done using logistic regression with the difference between estimated and ideal body weight, the neck to height ratio, and the girth to height ratio as predictors. The score was then standardized based on the data from individuals with body condition score of 5.

Research Outcomes

  • The researchers were able to develop fairly accurate equations for estimating body weight and ideal weight for different equids. For instance, weight was predicted by a complex formula involving all measurements for different breeds, showing good model fitness and an acceptable mean-squared error.
  • Similarly, ideal weight was also estimated with reasonable accuracy through formulas considering length and height measurements for different breeds.
  • Through the body weight score they derived, the researchers could identify that equids with a body condition score of 7 or above had a higher likelihood of being overweight. The model suggested cutoffs at the 48th and 83rd percentiles for underweight and overweight individuals, respectively.
  • This study thus successfully demonstrated that morphometric measurements can be used to develop reliable weight-related equations and assess overweight risk in adult equids.

Cite This Article

APA
Martinson KL, Coleman RC, Rendahl AK, Fang Z, McCue ME. (2014). Estimation of body weight and development of a body weight score for adult equids using morphometric measurements. J Anim Sci, 92(5), 2230-2238. https://doi.org/10.2527/jas.2013-6689

Publication

ISSN: 1525-3163
NlmUniqueID: 8003002
Country: United States
Language: English
Volume: 92
Issue: 5
Pages: 2230-2238

Researcher Affiliations

Martinson, K L
  • Department of Animal Science, University of Minnesota, St. Paul 55108.
Coleman, R C
    Rendahl, A K
      Fang, Z
        McCue, M E

          MeSH Terms

          • Animals
          • Body Composition / physiology
          • Body Weight / physiology
          • Female
          • Horses / anatomy & histology
          • Horses / physiology
          • Male

          Grant Funding

          • P30 AR057220 / NIAMS NIH HHS

          Citations

          This article has been cited 9 times.
          1. Busechian S, Turini L, Sgorbini M, Pieramati C, Pisello L, Orvieto S, Rueca F. Are Horse Owners Able to Estimate Their Animals' Body Condition Score and Cresty Neck Score?. Vet Sci 2022 Oct 3;9(10).
            doi: 10.3390/vetsci9100544pubmed: 36288157google scholar: lookup
          2. Satoła A, Łuszczyński J, Petrych W, Satoła K. Body Weight Prediction from Linear Measurements of Icelandic Foals: A Machine Learning Approach. Animals (Basel) 2022 May 11;12(10).
            doi: 10.3390/ani12101234pubmed: 35625080google scholar: lookup
          3. Górniak W, Wieliczko M, Soroko M, Korczyński M. Evaluation of the Accuracy of Horse Body Weight Estimation Methods. Animals (Basel) 2020 Sep 26;10(10).
            doi: 10.3390/ani10101750pubmed: 32993072google scholar: lookup
          4. Jensen RB, Rockhold LL, Tauson AH. Weight estimation and hormone concentrations related to body condition in Icelandic and Warmblood horses: a field study. Acta Vet Scand 2019 Dec 26;61(1):63.
            doi: 10.1186/s13028-019-0498-5pubmed: 31878953google scholar: lookup
          5. Yngvesson J, Rey Torres JC, Lindholm J, Pättiniemi A, Andersson P, Sassner H. Health and Body Conditions of Riding School Horses Housed in Groups or Kept in Conventional Tie-Stall/Box Housing. Animals (Basel) 2019 Feb 26;9(3).
            doi: 10.3390/ani9030073pubmed: 30813613google scholar: lookup
          6. Valle E, Raspa F, Giribaldi M, Barbero R, Bergagna S, Antoniazzi S, Mc Lean AK, Minero M, Cavallarin L. A functional approach to the body condition assessment of lactating donkeys as a tool for welfare evaluation. PeerJ 2017;5:e3001.
            doi: 10.7717/peerj.3001pubmed: 28367363google scholar: lookup
          7. Webster AP, Wright RK, Hammond JB, Kotey NA, Gleason CB, White RR. Assessment of thermal imaging to objectively body condition score mature horses and multiparous gestating beef cows. Transl Anim Sci 2025;9:txaf121.
            doi: 10.1093/tas/txaf121pubmed: 41245604google scholar: lookup
          8. Dash SK, Panda S, Karna DK, Mishra C, Kalaignazhal G. Multivariate analysis of morphometric traits of Malkangiri pony - a heritage germplasm of Odisha. Trop Anim Health Prod 2025 Mar 18;57(3):129.
            doi: 10.1007/s11250-025-04386-8pubmed: 40100467google scholar: lookup
          9. Matsuura A, Torii S, Ojima Y, Kiku Y. 3D imaging and body measurement of riding horses using four scanners simultaneously. J Equine Sci 2024 Mar;35(1):1-7.
            doi: 10.1294/jes.35.1pubmed: 38524754google scholar: lookup