Sexual dimorphism in Hucul horses using discriminant analysis

Area of Science:

• Animal Science
• Biometrics
• Quantitative Genetics

Background:

• Understanding gender dimorphism is crucial for selective breeding and population management in horse breeds.
• Morphological traits offer a non-invasive method for assessing biological differences between sexes.

Purpose of the Study:

• To assess the effectiveness of discriminant function analysis (DFA) in determining gender dimorphism in Hucul horses.
• To identify key morphological indices that significantly differentiate between male and female horses throughout their development.

Main Methods:

• Examined 243 Hucul horses across six age groups.
• Measured 12 metric traits to calculate 13 standard biometric indices.
• Applied DFA to classify horses by gender based on calculated indices.

Main Results:

• Discriminant function analysis proved applicable for gender determination in Hucul horses.
• Significant contributing indices included boniness, trunk length, height at the croup, pelvis width, and chest width.
• These parameters effectively differentiate sex across various post-foetal developmental stages.

Conclusions:

• Biometric indices derived from morphological traits can reliably distinguish gender in Hucul horses.
• Specific measurements related to body proportions are key indicators of sex in this breed.
• The study provides valuable insights for equine breeding programs in Poland and beyond.