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<p>Discriminant analysis has proven to be a powerful tool in morphometric studies, distinguished and characterization of livestock breeds. This statistical method plays a vital role in understanding the morphological variations within and between breeds, thus supporting livestock management, conservation, and genetic improvement efforts. In Algeria, a country rich in biodiversity, several indigenous and introduced goat breeds, particularly the Saanen and Alpine, exhibit remarkable adaptability to diverse environmental conditions. This study applied discriminant analysis to distinguish between these two allochthonous breeds reared in southern Algeria. A total of 172 goats (81 Alpine and 91 Saanen), aged 36 months or older, were analyzed in February 2024. Eleven quantitative and six qualitative morphometric traits were recorded. Quantitative data were analyzed using stepwise discriminant analysis and canonical discriminant analysis (CDA), while qualitative traits were analyzed via Discriminant Correspondence Analysis (DCA). Results revealed that quantitative variables such as withers height, thoracic perimeter, and head length were strong discriminators between the two breeds. Additionally, qualitative traits such as beard presence, horn shape, and wattles were significant for breed differentiation. The study demonstrated high classification accuracy (over 93% for both breeds) through linear discriminant analysis (LDA) and emphasized the importance of certain morphometric traits in identifying and classifying these goat breeds. The findings provide a statistical basis for distinguishing Saanen and Alpine goats and can support breeding and conservation programs in Algeria.”</p>

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Discriminant Analysis Approach to morphometric differentiation between Saanen and Alpine goat breeds in Algeria

  • 期刊论文

  • 发表日期：

    2026年2月4日

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  • Ghenima Bouderka,
  • Mustapha Nabi,
  • Omar Salhi,
  • Karima Hadj Omar,
  • Nassim Ouchene,
  • Nadjet Amina Khelifi Touhami

摘要

Discriminant analysis has proven to be a powerful tool in morphometric studies, distinguished and characterization of livestock breeds. This statistical method plays a vital role in understanding the morphological variations within and between breeds, thus supporting livestock management, conservation, and genetic improvement efforts. In Algeria, a country rich in biodiversity, several indigenous and introduced goat breeds, particularly the Saanen and Alpine, exhibit remarkable adaptability to diverse environmental conditions. This study applied discriminant analysis to distinguish between these two allochthonous breeds reared in southern Algeria. A total of 172 goats (81 Alpine and 91 Saanen), aged 36 months or older, were analyzed in February 2024. Eleven quantitative and six qualitative morphometric traits were recorded. Quantitative data were analyzed using stepwise discriminant analysis and canonical discriminant analysis (CDA), while qualitative traits were analyzed via Discriminant Correspondence Analysis (DCA). Results revealed that quantitative variables such as withers height, thoracic perimeter, and head length were strong discriminators between the two breeds. Additionally, qualitative traits such as beard presence, horn shape, and wattles were significant for breed differentiation. The study demonstrated high classification accuracy (over 93% for both breeds) through linear discriminant analysis (LDA) and emphasized the importance of certain morphometric traits in identifying and classifying these goat breeds. The findings provide a statistical basis for distinguishing Saanen and Alpine goats and can support breeding and conservation programs in Algeria.”