Abstract:
This study was conducted to phenotypically characterize and identify farmers’ breeding 
objective traits of indigenous chicken ecotypes around Dire Dawa. In total, 120 households 
participated in the interviews, which were conducted using a structured questionnaire and for 
phenotypic characterization, four hundred eighty individual chickens (163 female and 77 male 
from midland, 87 male and 153 female from lowland) were characterized under field conditions 
to describe qualitative and quantitative traits following standard chicken descriptors. 
Descriptive statistics (frequency procedure), Generalized Linear Model (GLM) procedures, and 
multivariate statistics were used to analyze the data. The result revealed that the mean flock size 
of chickens per household was 13.76 and 10.3 (ranging from 2-25) in lowland and midland 
agroecology, respectively. Farmers' primary reason for culling was poor productivity chickens 
followed by old age. Furthermore, plumage colour, sicken, and bad temperament of hens and 
cocks. Sale for income (1st), egg production (2nd), and home consumption (3rd) were the 
purposes for which farmers rear chickens. Source of income ranked (1st), home consumption 
(2nd), and hatching chickens (3rd) were purposes of egg production. The effective population 
size (Ne) estimated in lowland, and midland altitudes were 4.66, and 3.88, respectively whereas 
the rate of inbreeding per generation (∆F) was 0.10, and 0.12, respectively. Hens are 
predominantly selected on the bases of egg production, followed by mothering ability, 
hatchability, large body size, colour, and brooding ability while cocks are predominantly 
selected based on body size, plumage colour, comb type, disease tolerance, growth, and fertility. 
Most of the local chickens had single (77.29 %,) comb type followed by rose (9.79 %,) double, 
buttery 6.88%, and 6.4% overall proportion agroecology. The average body weight of local hens 
in lowland and midland ecotypes were1.29±0.02 and 1.26±0.02kg respectively, while the 
respective values for mature males were 1.55±0.02 and 1.62±0.03 kg. Morph metric 
measurements indicated that significant differences (P<0.05) were observed between 
agroecology concerning shank length, comb length, wattle length, neck length, keel length, and 
comb height. In all parameters, male shows a higher significance (P<0.05) value than female 
xv
chicken due to the hormonal effect. The degree of linear association among the variables 
measured by the Pearson correlation coefficient (r) and their statistical significance of r ranged 
from 0.13 to 0.80 for females and from 0.15 to 0.85 for males. The multivariate analysis result 
showed that two PC were extracted which accounted for 92 % of the total variation. All squared 
Mahalanobis’ distances obtained between ecotypes for the female and male populations were 
significant (p<0.05), In the male, the shortest distance (0.46) was observed between the lowland 
and midland district while in the female the longest distance (4.03) was observed between the 
lowland and midland agroecology.This shows that female ecotypes have distinct and measurable 
group differences across the district. Quantitative variables varied between sex groups and 
correct classification percentages were calculated separately for female and male sample 
populations. In the case of females, the overall average error count estimate was 14.56 % for all 
observations from all sites, which means that 85.44 % of the samples were correctly classified. 
The error count estimate for male populations was lower than for female populations (17.07%) 
having an overall average hit ratio of 82.13%.The correct classification ranged from 83.03 to 
87.73% in the case of the female population and 79.22 to 86.21 % in the case of the male 
population. In contrast from midland, the highest correct classification percentages were 
calculated for lowland in both sexes, indicating that the sample populations from the lowland 
were more homogeneous on the quantitative variables as can be observed from their respective 
high hit ratios, while birds from midland were more heterogeneous. In conclusion, there is the 
diversity of indigenous chicken population and farmers’ preference for specific traits that may 
invite to design community-based genetic improvement.