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Animals : an open access journal from MDPI2022; 12(7); 931; doi: 10.3390/ani12070931

Comparison of Donkey, Pony, and Horse Dorsal Profiles and Head Shapes Using Geometric Morphometrics.

Abstract: Since donkey breeding has increased due to their variety of uses, welfare evaluation has become more important. This study aimed to compare donkey, pony, and horse dorsal profiles and head shapes using geometric morphometrics (GM). Photographs of 14 donkeys, 14 ponies, and 14 horses were analyzed using GM, including the sliding semilandmarks method. The variations in the first three principal components (PCs) were PC1: 57.16%, PC2: 16.05%, and PC3: 8.31% for the dorsal profiles and PC1: 44.77%, PC2: 13.46%, and PC3: 7.66% for the head shapes. Both the dorsal profiles and head shapes differed between donkeys and horses (p 0.05). Moreover, both the dorsal profiles and head shapes differed in size between ponies and horses (p 0.05). Higher Mahalanobis and Procrustes distances were noted between donkeys and horses as well between donkeys and ponies than between ponies and horses. The use of geometric morphometrics revealed the differences in the dorsal profiles and head shapes between the studied equids. These differences should be taken into account when adapting welfare scales and methods from horses to donkeys.
Publication Date: 2022-04-05 PubMed ID: 35405919PubMed Central: PMC8997093DOI: 10.3390/ani12070931Google Scholar: Lookup
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  • Journal Article

Summary

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This research article analyzes and compares the dorsal profiles and head shapes of donkeys, ponies, and horses. Using a method known as geometric morphometrics, the study finds significant differences in these features among the three types of equids, which are important considerations for their care and welfare.

Methodology and Sample

  • The study used photographs of 14 donkeys, 14 ponies, and 14 horses as their research basis.
  • The research method used was Geometric Morphometrics (GM), a statistical technique to quantify and analyze the shape and size of structures. It is of particular use in biological sciences because it analyzes shape independently from size, scale, and position.
  • Also included in this study is the Sliding Semilandmarks method, a technique in GM that allows the analysis of curves and outlines, which lack obvious homologous points or landmarks.

Results and Variations

  • The results showed variations captured as principal components (PCs). For the dorsal profiles, PC1 accounted for 57.16%, PC2 for 16.05%, and PC3 for 8.31%. For the head shapes, PC1 accounted for 44.77%, PC2 for 13.46%, and PC3 for 7.66% of the variations.
  • Principal components analysis is a method used to reduce data set dimensions and highlight the most significant patterns. Here, the majority of variation was captured within the first few components.
  • The dorsal profiles and head shapes differed significantly between donkeys and horses, whereas no significant differences were found between donkeys and ponies.

Implications and Conclusions

  • The researchers noted higher Mahalanobis and Procrustes distances between donkeys and horses and between donkeys and ponies than between ponies and horses. These measures are used in statistics to compare relative differences between shapes.
  • This research has important implications for animal welfare. Differences in shape and size might require adjustments in animal handling, tools use, welfare evaluation, or medical procedures.
  • The researchers conclude that the differences found using geometric morphometrics between the equids are important to consider when transferring welfare scales and methods from horses to donkeys.

Cite This Article

APA
Maśko M, Wierzbicka M, Zdrojkowski Ł, Jasiński T, Sikorska U, Pawliński B, Domino M. (2022). Comparison of Donkey, Pony, and Horse Dorsal Profiles and Head Shapes Using Geometric Morphometrics. Animals (Basel), 12(7), 931. https://doi.org/10.3390/ani12070931

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 12
Issue: 7
PII: 931

Researcher Affiliations

Maśko, Małgorzata
  • Department of Animal Breeding, Institute of Animal Science, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.
Wierzbicka, Małgorzata
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.
Zdrojkowski, Łukasz
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.
Jasiński, Tomasz
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.
Sikorska, Urszula
  • Department of Animal Breeding, Institute of Animal Science, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.
Pawliński, Bartosz
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.
Domino, Małgorzata
  • Department of Large Animal Diseases and Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences (WULS-SGGW), 02-787 Warsaw, Poland.

Conflict of Interest Statement

The authors declare no conflict of interest.

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Citations

This article has been cited 3 times.
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