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Multivariate characterization of phenotypic traits of five native cattle populations from Tigray, Northern Ethiopia
Tsadkan Zegeye1,2, Gurja Belay3, Olivier Hanotte4,5
1Mekelle Agricultural Research Center, Tigray Agricultural Research Institute, P.O. Box 492, Mekelle, Tigray, Ethiopia. tsadkan96@gmail.com.
Abstract:
Abergelle, Arado, Begait, Irob, and Raya are important native cattle populations that are well adapted to the harsh natural conditions in Tigray, Ethiopia. However, little is known about their phenotypic characteristics and inter-population variability. Understanding the phenotypic characteristics is the crucial step in an effort of maintaining genetic diversity and conserving important traits for adaptation. A total of 1650 native matured cattle from the five populations were used to investigate the phenotypic characteristics and variability based on 21 qualitative traits and 21 body measurements using uni- and multivariate, and discriminant analysis. All the qualitative traits and body measurements showed highly significant breed difference except the tail base thickness. Values for most of the body measurements were higher in Begait cattle compared to the other cattle populations. The stepwise discriminant analysis extracted eighteen variables for characterizing the female populations and thirteen variables for the male populations. The pair-wise Mahalanobis distance showed the highest morphological distance between Begait and Irob, and the closest distance between Abergelle and Irob cattle populations. High correct assignment to source population was obtained for both sexes of all breeds except Abergelle and Irob. The discriminant function graph discerned each population with no clear distinction between Abergelle and Irob. These results indicate that the five cattle populations under investigation are clustered into four distinct breeds. However, the present phenotypic characterization should be confirmed with molecular genetic diversity investigation to use as a base in their conservation, breeding, and selection strategies.
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