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<channel rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/165">
<title>Animal Genetics &amp; Breeding</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/165</link>
<description/>
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<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/8275"/>
<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/8155"/>
<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/7608"/>
<rdf:li rdf:resource="http://ir.haramaya.edu.et//hru/handle/123456789/6682"/>
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<dc:date>2026-04-14T20:02:52Z</dc:date>
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<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/8275">
<title>ASSESSMENT OF EFFICIENCY AND MAJOR CONSTRAINTS OF  ARTIFICIAL INSEMINATION SERVICE IN SELECTED DISTRICTS  OF WEST WALLAGA ZONE, OROMIA REGION, ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8275</link>
<description>ASSESSMENT OF EFFICIENCY AND MAJOR CONSTRAINTS OF  ARTIFICIAL INSEMINATION SERVICE IN SELECTED DISTRICTS  OF WEST WALLAGA ZONE, OROMIA REGION, ETHIOPIA
LALISA AYANA BERKESSA; Kefelegn Kebede (PhD, Assoc. Professor); Ararsa Duguma (DVM, MVSc, Assist. Professor)
This study aimed to assess the efficiency of the artificial insemination service and its major &#13;
constraints from December 2022 to January 2024 in the three selected districts of West Wallaga &#13;
Zone, Oromia Region, Ethiopia. The study was conducted using both cross-sectional and &#13;
retrospective study designs with multi-stage sampling techniques. A cross-sectional study was &#13;
employed via structured questionnaires to collect data from 246 respondents (201 AI &#13;
beneficiaries, 9 AITs, and 36 AHPs). Moreover, the retrospective study was conducted using the &#13;
recorded data of AI services covering the years 2019 to 2022 at animal health clinics of &#13;
respective districts. Data analysis was carried out by the JMP pro.17 version software package,&#13;
and this study showed that of 201 dairy cattle owners, only 51(25.37%) respondents get regular &#13;
AI services and are satisfied with the overall services, while the majority 150 (74.63%) do not &#13;
get regular AI services due to shortage of AI inputs (42%), shortage of AI technicians (36.67%), &#13;
and unavailability of services on weekends and holidays (21.33%), which shows statistically &#13;
significant differences (P-value = 0.0405) among districts. Of the total dairy cattle owners who &#13;
are not receiving AI services regularly, 39.33% use natural mating, and the rest (60.67%) &#13;
postpone the time of insemination for the next heat cycle when the AI service is not available. &#13;
The identified most common challenges of AI services were conception failure (21.43%), lack &#13;
of AI services in the vicinity (18.13%), heat detection problems (17%), shortage of AI &#13;
technicians (16.5%), poor awareness creation of the farmers (12.64%), shortage of AI service &#13;
inputs (7.7%), and insufficient support from the concerned bodies (6.6%) that shows no &#13;
statistically significant differences (X2 = 9.448; p-value = 0.8844) among the three selected &#13;
districts. The reproductive performance of dairy cows were AFS (45.38±0.16, and 32.09±0.26 &#13;
months), AFC (54.87±0.18, and 41.56±0.26 months), DO (197.11±2.13, and 143.64±3.03 days), &#13;
CI (16.03±0.07, and 14.25±0.1 months), and NSPC (2.08±0.05, and 1.92±0.07 times) for local, &#13;
and crossbreed cows respectively and these reproductive performances were affected by feed &#13;
shortage (34.82%), diseases (22.39%), poor reproductive performance of local cows (21.89%), &#13;
and overall poor management of cows (20.9%). In the record study, conceivability and delivery &#13;
of the artificially inseminated cows have fluctuated among the selected years and for this reason, &#13;
inadequate breeding management and cow-related issues have a significant contribution. In the &#13;
study area, the majority (74.63%) of dairy cattle owners were not satisfied with AI services, and &#13;
the service is not doing well in all selected districts due to several constraints raised above. &#13;
Therefore, immediate action is required to solve the problems associated with AI services &#13;
through all responsible bodies including all governmental and non-governmental organizations &#13;
to increase the productive and reproductive performance of dairy cattle, especially indigenous &#13;
cows in terms of genetic improvement to achieve maximum benefit from this reproductive &#13;
biotechnology.
96
</description>
<dc:date>2024-06-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/8155">
<title>PHENOTYPIC CHARACTERIZATION OF INDIGENOUS GOATS, HUSBANDRY PRACTICES AND BREEDING PRACTICES IN THE NORTHERN MUDUG ZONE, PUNTLAND REGIONAL STATE, SOMALIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/8155</link>
<description>PHENOTYPIC CHARACTERIZATION OF INDIGENOUS GOATS, HUSBANDRY PRACTICES AND BREEDING PRACTICES IN THE NORTHERN MUDUG ZONE, PUNTLAND REGIONAL STATE, SOMALIA
Yusuf Kassim Awow; (PhD) Kefelegn Kebede; (PhD)  Yesihak Yusuf
The study was conducted on Indigenous goat populations in Northern Mudug Zone, Somalia,&#13;
specifically in the Galdogob, Galkacyo, and Jariban districts to characterize Indigenous goat&#13;
populations phenotypically and investigate breeding and husbandry practices It surveyed 180&#13;
respondents, 60 from each district, from households in three villages. Three focus group&#13;
discussions per district were conducted, and parameters were analyzed using the index&#13;
method. In both quantitative and qualitative traits, 450 goats (150 from each district) of both&#13;
sexes with above two years of age were employed. Univariate analysis, Generalized Linear&#13;
Model (GLM) procedure, and Pearson Correlation Coefficient (PCC) of SAS JMP Pro 18&#13;
software (2023 were used to analyze the quantitative data while qualitative data of the&#13;
investigated goat populations were analyzed using the frequency procedure of the Chi-square&#13;
(χ2) test and descriptive statistics. Results revealed that the selection criteria for the breeding&#13;
buck, the results indicate that 49%, and 44% of the selection in Galdogob, and Galkacyo were&#13;
based on the large body size of the animals respectively, while the absence of horns were&#13;
ranked second in all districts while selection criteria for the doe in Galdogob pastoralist were&#13;
concerned more about the appearance of does (index=0.49) followed by body coat colour and&#13;
milk yield with the indices of 0.27 and 0.13 respectively. Unlike Galdogob pastoralists,&#13;
Galkacyo pastoralists ranked colour first with an index of 0.50 followed by appearance or&#13;
body conformation (index = 0.34), while Jariban selection criteria for doe ranked similarly to&#13;
Galdogob. Regarding qualitative traits, the majority of goat coat colour was plain (81.33%)&#13;
across all districts in both male and female goats followed by white coat colours (60.44%),&#13;
whereas a relatively high proportion of goats had its combination with other coat colours and&#13;
the majority of goats in all districts were horned (73.33%), predominantly with straight horn&#13;
shapes, while polled goat/no horn was less common (26.67%). The analysis revealed that male&#13;
goats had a significantly higher body weight (35.48±0.29 kg) compared to female goats&#13;
(30.17±0.15 kg), with a p-value &lt; 0.0001 indicating a strong statistical significance. Males&#13;
showed a steady increase in body weight from 28.00 kg at 2PPI to 49.50 kg at 4PPI,&#13;
highlighting a substantial weight gain of 21.50 kg across this growth period. In contrast,&#13;
females exhibited an increase from 22.00 kg at 2PPI to 36.00 kg at 4PPI, amounting to a&#13;
weight gain of 14.00 kg. The strongest positive correlation was observed between body weight&#13;
and rump high (RH) (r = 0.63, P &lt; 0.0001), indicating that as the height of female goats&#13;
increases, their body weight also tends to increase and in males, the correlation between body&#13;
weight and rib weight (RW) was found to be strong and positive (r = 0.75, P &lt; 0.0001). The&#13;
study provided a comprehensive phenotypic characterization of indigenous goat populations&#13;
in the Northern Mudug Zone, Somalia, and shed light on the prevailing breeding and&#13;
husbandry practices. Finally, finding suggested Iinvestigate the genetic basis of traits to&#13;
inform selective breeding programs.
113p.
</description>
<dc:date>2024-12-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/7608">
<title>ASSESSMENT OF THE EFFICIENCY OF ARTIFICIAL INSEMINATION AND PROBLEMS ASSOCIATED WITH ITS  SERVICES IN SELECTED DISTRICTS OF WEST HARARGHE ZONE,  OROMIA, ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/7608</link>
<description>ASSESSMENT OF THE EFFICIENCY OF ARTIFICIAL INSEMINATION AND PROBLEMS ASSOCIATED WITH ITS  SERVICES IN SELECTED DISTRICTS OF WEST HARARGHE ZONE,  OROMIA, ETHIOPIA
SEGNI GIZA FEYISA; Kefelegn Kebede (PhD); Ararsa Duguma (DVM, MVS, Ass. Proff.)
The study was carried out to assess the efficiency of artificial insemination, problems associated &#13;
with its services, and the reproductive performance of dairy cattle in selected districts of West &#13;
Hararghe Zone Oromia Regional State Ethiopia. Both cross-sectional and retrospective types &#13;
of study design were used. A structured questionnaire was prepared and data were collected by &#13;
using the purposive sampling method. A total of 261 respondents (210 AI beneficiaries, 42&#13;
animal health, and 9 AITs) were interviewed accordingly. The present study revealed that about &#13;
52.31%, 48.57%, and 44% of respondents in Gemechis, Habro, and Tullo districts respectively &#13;
received AI services regularly without interruption, while the remaining 47.69%, 51.43% and &#13;
56% did not get AI services regularly with the primary reasons being the scarcity of AITs and &#13;
the unavailability of AI services on weekends and holidays. From the current study, 38.89%, &#13;
35.29%, and 33.33% in Gemechis, Habro, and Tullo respectively reported that repeated &#13;
breeding is the most reproductive disease of dairy cattle. As per the study's findings, when &#13;
cows/heifers showed heat character in the afternoon 56.92%, 54.29%, and 49.33% of &#13;
respondents in Gemechis, Habro, and Tullo respectively took their animal to the AI station in&#13;
the morning of the next day which is the exact time of insemination whereas, the remaining &#13;
43.08%, 45.71% and 50.67% took their cows to AI station at wrong time. The least-square mean &#13;
of Age at first service (AFS), Age at first calving (AFC), Calving interval (CI), Days open (DO), &#13;
Number of services per conception (NSPC), Lactation length (LL), Daily milk yield (DMY) of &#13;
local breed cows were 45.37±0.44, 55.04±0.41, 16.74±0.19, 166.17±1.86, 1.81±0.04, 6.67±0.08&#13;
and 1.92±0.05 respectively. Whereas the least square mean of Age at first service (AFS), Age at &#13;
first calving (AFC), Calving interval (CI), Days open (DO), Number of services per conception &#13;
(NSPC), Lactation length (LL), Daily milk yield (DMY) of cross breed cows were 36.62±0.75, &#13;
46.85±0.70, 15.80±0.33, 155.75±3.18, 1.99±0.07, 8.04±0.13 and 5.03±0.09 respectively. From&#13;
retrospective studies significant associations between the year and conception rates in all three &#13;
districts; Gemechis (p&lt;0.0001, Habro (p&lt;0.0003 and Tullo (p&lt;0.0001). There were significant &#13;
associations between the year and delivery outcomes in Gemechis (p&lt;0.0001), but not in Habro &#13;
(p=0.2240) or Tullo (p=0.0979). On the other hand, there was statistical evidence for the &#13;
observed associations between the year and sex outcomes in Tullo (p&lt;0.0003), but not in Habro &#13;
(p=0.0512) or Gemechis (p&lt;0.8754). In general, the overall AI services in the study area were&#13;
hopeful and to establish sustainable AI services in the study area sufficient number of AITs are&#13;
required and the services have to be given to beneficiaries without interruption. Awareness &#13;
creation regarding to time of insemination for AI beneficiaries is the best alternative to increase &#13;
the conception rate of dairy cattle. Once more, the reproductive performance of dairy cattle has &#13;
to be evaluated regularly, to increase production and productivity.
88
</description>
<dc:date>2024-03-01T00:00:00Z</dc:date>
</item>
<item rdf:about="http://ir.haramaya.edu.et//hru/handle/123456789/6682">
<title>PHENOTYPIC CHARACTERIZATION AND IDENTIFICATION OF  FARMERS BREEDING OBJECTIVE TRAITS OF INDIGENOUS  CHICKEN ECOTYPES AROUND DIRE DAWA, ETHIOPIA</title>
<link>http://ir.haramaya.edu.et//hru/handle/123456789/6682</link>
<description>PHENOTYPIC CHARACTERIZATION AND IDENTIFICATION OF  FARMERS BREEDING OBJECTIVE TRAITS OF INDIGENOUS  CHICKEN ECOTYPES AROUND DIRE DAWA, ETHIOPIA
YUYYA OMER ADAN; Dr.Kefelegn Kebede (Ph.D); Dr. Negasi Ameha (Ph.D)
This study was conducted to phenotypically characterize and identify farmers’ breeding &#13;
objective traits of indigenous chicken ecotypes around Dire Dawa. In total, 120 households &#13;
participated in the interviews, which were conducted using a structured questionnaire and for &#13;
phenotypic characterization, four hundred eighty individual chickens (163 female and 77 male &#13;
from midland, 87 male and 153 female from lowland) were characterized under field conditions &#13;
to describe qualitative and quantitative traits following standard chicken descriptors. &#13;
Descriptive statistics (frequency procedure), Generalized Linear Model (GLM) procedures, and &#13;
multivariate statistics were used to analyze the data. The result revealed that the mean flock size &#13;
of chickens per household was 13.76 and 10.3 (ranging from 2-25) in lowland and midland &#13;
agroecology, respectively. Farmers' primary reason for culling was poor productivity chickens &#13;
followed by old age. Furthermore, plumage colour, sicken, and bad temperament of hens and &#13;
cocks. Sale for income (1st), egg production (2nd), and home consumption (3rd) were the &#13;
purposes for which farmers rear chickens. Source of income ranked (1st), home consumption &#13;
(2nd), and hatching chickens (3rd) were purposes of egg production. The effective population &#13;
size (Ne) estimated in lowland, and midland altitudes were 4.66, and 3.88, respectively whereas &#13;
the rate of inbreeding per generation (∆F) was 0.10, and 0.12, respectively. Hens are &#13;
predominantly selected on the bases of egg production, followed by mothering ability, &#13;
hatchability, large body size, colour, and brooding ability while cocks are predominantly &#13;
selected based on body size, plumage colour, comb type, disease tolerance, growth, and fertility. &#13;
Most of the local chickens had single (77.29 %,) comb type followed by rose (9.79 %,) double, &#13;
buttery 6.88%, and 6.4% overall proportion agroecology. The average body weight of local hens &#13;
in lowland and midland ecotypes were1.29±0.02 and 1.26±0.02kg respectively, while the &#13;
respective values for mature males were 1.55±0.02 and 1.62±0.03 kg. Morph metric &#13;
measurements indicated that significant differences (P&lt;0.05) were observed between &#13;
agroecology concerning shank length, comb length, wattle length, neck length, keel length, and &#13;
comb height. In all parameters, male shows a higher significance (P&lt;0.05) value than female &#13;
xv&#13;
chicken due to the hormonal effect. The degree of linear association among the variables &#13;
measured by the Pearson correlation coefficient (r) and their statistical significance of r ranged &#13;
from 0.13 to 0.80 for females and from 0.15 to 0.85 for males. The multivariate analysis result &#13;
showed that two PC were extracted which accounted for 92 % of the total variation. All squared &#13;
Mahalanobis’ distances obtained between ecotypes for the female and male populations were &#13;
significant (p&lt;0.05), In the male, the shortest distance (0.46) was observed between the lowland &#13;
and midland district while in the female the longest distance (4.03) was observed between the &#13;
lowland and midland agroecology.This shows that female ecotypes have distinct and measurable &#13;
group differences across the district. Quantitative variables varied between sex groups and &#13;
correct classification percentages were calculated separately for female and male sample &#13;
populations. In the case of females, the overall average error count estimate was 14.56 % for all &#13;
observations from all sites, which means that 85.44 % of the samples were correctly classified. &#13;
The error count estimate for male populations was lower than for female populations (17.07%) &#13;
having an overall average hit ratio of 82.13%.The correct classification ranged from 83.03 to &#13;
87.73% in the case of the female population and 79.22 to 86.21 % in the case of the male &#13;
population. In contrast from midland, the highest correct classification percentages were &#13;
calculated for lowland in both sexes, indicating that the sample populations from the lowland &#13;
were more homogeneous on the quantitative variables as can be observed from their respective &#13;
high hit ratios, while birds from midland were more heterogeneous. In conclusion, there is the &#13;
diversity of indigenous chicken population and farmers’ preference for specific traits that may &#13;
invite to design community-based genetic improvement.
92
</description>
<dc:date>2023-03-01T00:00:00Z</dc:date>
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