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Background <p>Morphometric measurements can be used for the separation of animal breeds. The hypothesis of this manuscript is based on the assumption that the discriminatory power of morphometric features can change during the growth process. For this aim Angora, Hair, Kilis, and Honamlı goat breeds in three different ages that at birth, weaning (90 days of age), and mature (one year old) animals from were evaluated.</p> Methods <p>For dimension reduction Principal Component Analysis was used and Multivariate Discriminant Stepwise Analysis Method (MDASM) was used to determine the differences and grouping levels in terms of biometric measurements of nine animals per genotype such as height at wither (HW), height at sacrum (HS), body length (BL), chest girth (CG), chest width (CW), and chest circumference (CC) for discrimination of goat genotypes.</p> Results <p>Our results showed that there were differences among ages that at birth, weaning, and mature in spite of discrimination according to biometric measurements. The highest correct classification rate obtained for mature age (91.18%) which was 25.66% higher than age of birth.</p> Conclusions <p>These findings supported that the measurements taken at mature age should be used for robust discrimination. The chest girth, chest circumference, and chest width were found the most significant variables for classification.</p>

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Discriminant analysis of morphometric traits across growth stages in native goat breeds

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月22日

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  • Esra Yavuz,
  • Hasan Önder,
  • Uğur Şen,
  • Mustafa Şahi̇n,
  • Ömer Faruk Yilmaz

摘要

Background

Morphometric measurements can be used for the separation of animal breeds. The hypothesis of this manuscript is based on the assumption that the discriminatory power of morphometric features can change during the growth process. For this aim Angora, Hair, Kilis, and Honamlı goat breeds in three different ages that at birth, weaning (90 days of age), and mature (one year old) animals from were evaluated.

Methods

For dimension reduction Principal Component Analysis was used and Multivariate Discriminant Stepwise Analysis Method (MDASM) was used to determine the differences and grouping levels in terms of biometric measurements of nine animals per genotype such as height at wither (HW), height at sacrum (HS), body length (BL), chest girth (CG), chest width (CW), and chest circumference (CC) for discrimination of goat genotypes.

Results

Our results showed that there were differences among ages that at birth, weaning, and mature in spite of discrimination according to biometric measurements. The highest correct classification rate obtained for mature age (91.18%) which was 25.66% higher than age of birth.

Conclusions

These findings supported that the measurements taken at mature age should be used for robust discrimination. The chest girth, chest circumference, and chest width were found the most significant variables for classification.