Quantifying morphometric and adaptive characteristics of indigenous cattle genetic resources in northwest Ethiopia

Andualem Tenagne*, Mengistie Taye, Tadelle Dessie, Bekalu Muluneh, Damitie Kebede, Getinet Mekuriaw Tarekegn

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
20 Downloads (Pure)


Ethiopia is the gateway of livestock genetic resources to Africa and has a wide range of altitude. It is endowed with huge diverse cattle genetic resources. The aim of this research was to determine the morphometric and potentioally adaptive characteristics of cattle populations. Multi-stage purposive and random sampling methods were employed to select the study areas, households and animals. A total of 1200 adult cattle were sampled and characterized for 14 qualitative and eight morphometric variables. The comparison of marginal means, chi-square tests, canonical discriminant analysis, and clustering analysis were employed using SAS and SPSS statistical software. The sex of the animal, location and agro-ecology were fitted as fixed effects in the model and had highly significant (p 0.45) values. White with red, light red, black and dark red were the most predominant coat colour types of cattle. The maximum hit rates were recorded in Enebsie and Sinan cattle. From five extracted canonical variate, (can1 and can2) accounted 75.4% and 78.8% in the female and male cattle populations, respectively. The canonical class has separated cattle populations of Sinan from Banja at can1 and Mecha from Sinan populations at can2. The square Mahalanobis distances between sites were significant (p
Original languageEnglish
Article numbere0280640
Number of pages20
JournalPLoS ONE
Issue number3
Early online date20 Mar 2023
Publication statusFirst published - 20 Mar 2023


  • Research Article
  • Biology and life sciences
  • Research and analysis methods
  • People and places
  • Physical sciences
  • Medicine and health sciences
  • Male
  • Discriminant Analysis
  • Cattle/genetics
  • Family Characteristics
  • Animals
  • Female
  • Livestock
  • Ethiopia
  • Cluster Analysis


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