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.