J. Life Sci. Biomed. 6(6): 127-138, November, 2016  
JLSB  
Journal of  
ISSN 2251-9939  
Life Science and Biomedicine  
Phenotypic Characterization of Indigenous Cattle Populations in  
West Gojjam Administrative Zones, Amhara National Regional  
State, Ethiopia  
Andualem Tenagne1 , Getinet Mekuriaw2 and Dillip Kumar1  
1Bahir Dar University, College of Agriculture and Environmental Sciences, P.O. Box 79, Bahir Dar, Ethiopia  
2International Livestock Research institute (ILRI) P.O. Box 5689, Ethiopia Addis Abeba, Ethiopia  
Corresponding author’s Email: andu2026@gmail.com  
Received 28 Sep. 2016 Accepted 05 Nov. 2016  
ABSTRACT: The study was carried out in Semen Achefer, Sekela and Jabitenan districts of Western Gojjam  
zone of Amhara National Regional State. The objective of the study was to carry out phenotypic  
characterization of local cattle population in the study under farmers’ management condition in the study  
area. A total of 600 cattle were sampled randomly for characterization of phenotypic traits. Data were  
gathered through field observations and linear body measurements of sample populations. The Sampled  
indigenous cattle were identified by sex and district (agro ecology). The most dominant coat colour patterns in  
the sampled populations were plain, patchy and spotted with the most frequently observed coat colour type  
being light red, black and dark red. Sex of animals had P < 0.05, on all of the body measurements. Agro ecology  
also showed p<0.05, for most of the body measurements, except tail length, horn length, height at wither and  
rump height. Among leaner body measurements moderate correlations and positive relationship were shown.  
The prediction of body weight could be based on regression equation y = -481.55 + 4.89x for male sample  
population and y = -405.22 + 4.64x for female sample cattle population where y and x are body weight and  
chest girth, respectively. Most of the body measurements of cattle were affected by sex and agro- ecology.  
Phenotypic result of cattle populations in the study areas was varied from former finding and therefore; to put  
specific characteristics’ of the breed, further molecular characterization is needed.  
Author Keywords: Body Weight, Cattle, Characterization, Indigenous, Linear Body Measurement  
Abbreviations: CSA: Central Statistical Agency; DA: Development Agent; DAGRIS: Domestic Animal Genetic Resource  
Information System; FAO: Food and Agricultural Organization; GLM: General Linear Model; LBM: Linear Body  
Measurements Masl: MetereAbove Sea Level; Mm: Milimetere; °C Degree centigrade; WAO: Woreda Agricultural Office  
INTRODUCTION  
Ethiopia has served as a gateway to domestic animals from Asia to Africa and its diverse ecology favored  
diversification of these resources [1]. The country is endowed with huge livestock resources of varied and  
diversified genetic pools with specific adaptations to a wide range of agro-ecologies [2, 3]. Among livestock  
species, cattle have significant contributions to the livelihoods of the farmers. They serve as a source of draught  
power for the rural farming population, supply farm families with milk, meat, manure, serve as source of cash  
income, and play significant role in the social and cultural values of the society. Cattle contribute nearly all the  
draught power for agricultural production at smallholder level in Ethiopia [4].  
The total number of cattle in all regions of the country except the non-sedentary population of three zones of  
Afar and six zones of Somali region was estimated to be 57 million, has the largest population in Africa [5]. The  
majority of these cattle (98.95 percent) are indigenous breeds which are kept under extensive management [1].  
This is because indigenous cattle have been naturally selected for years towards adaptive traits as tolerance and  
resistance to diseases, high fertility, unique product qualities, longevity and adaptation to harsh environments  
and poor quality feeds [6]. However, a large proportion of indigenous livestock populations in the developing  
world have not yet been characterized or evaluated at phenotypic and genetic levels [7]. In order to ensure proper  
conservation and utilization of indigenous breeds, it is necessary to evaluate genetic variations that exist within  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
127  
and among breeds. Accordingly, proper identification, evaluation, and maintenance of different traits of animal  
genetic resources are necessary to make them available and relevant for future use without compromising their  
current utilization [8]. Phenotypic as well as genetic characterization of indigenous livestock genetic resources  
provides the basis for any livestock development intervention. Clearly, sustainable utilization of local breeds is  
the best means of conserving these genetic resources. The first essential step towards sustainable utilization of  
these resources is to identify the major breed types, establish their population size as well as their geographical  
distribution and describe their typical qualitative and quantitative phenotypic traits [9].Recognition of breeds’  
potential depends on the availability of accurate and comprehensive information on their characteristics and their  
production and marketing environments. Such information can only be obtained through well-designed  
characterization studies that include pertinent and well thought-out analysis and interpretation of the data  
collected [10]. However, the genetic diversity and the genetic merits of most Ethiopian indigenous cattle  
populations are not yet well understood and exploited. Consequently, some of the indigenous cattle populations  
are already extinct and endangered, while the risk status of many of them is unknown [11]. Despite the significant  
contribution of cattle to the country, little attention is given to identify, characterize and conserve the diversity of  
the various classes of livestock. The current state of knowledge on characterization of cattle genetic resources in  
Ethiopia shows that there is inadequate breed level characterization information [12].  
West Gojjam zone is one of the administration zone Amhara National regional State which has high cattle  
population potential and suitable weather conditions for cattle production. Even though the area has suitable  
environment and great potential for cattle production, there was a gap in utilizing its maximum potential and  
proper conservation and utilization of indigenous cattle breeds. Therefore in the study area; there was a need to  
conduct phenotypic characterization to solve the existing problems in the area. The objective of the study was to  
characterize phenotypic characteristics of local cattle population in the study area  
MATERIALS AND METHODS  
The study was conducted in 3 districts of West Gojjam zone of the Amhara National Regional State, Ethiopia.  
West Gojjamzone is one of administrative zone found in Amhara regional state and which is located on the  
southern border of Lake Tana. The districts included in the study sites were North Achefer, Sekela and Jabitenan  
(Figure 1).  
Figure 1. Map of the study area (Ethiopia; Amhara National Regional State; study districts)  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
128  
Sampling Technique and Procedure  
Multi-stage purposive sampling technique was employed to select the districts and kebeles for the study.  
Study districts were stratified based on agro ecology in to three strata; lowland, midland and highland. Three  
kebeles were selected from each stratum purposively based on cattle population potential and agro ecology  
(Table 1). Finally, 30 households (cattle owners) that have more than 2 head of cattle for interview and 67  
animals (cattle) for measurement were selected randomly from each kebele. The sample size was calculated  
based on [13].  
Table 1. Sampling Frame of Study areas  
Agro-ecology  
of districts  
Sample  
kebeles  
Sample  
House holds  
Sample  
Animals  
Altitude  
Masl & Rain Fall  
Districts  
M.L  
L.L  
0
3
3
0
3
0
0
Semen Achefer  
Sekela  
90  
90  
0
200  
200  
0
<1500&<800mm  
H.L  
M.L  
M.L  
L.L  
>2500&1200-2200mm  
90  
200  
1500-2500&800-1200mm  
Jabitenan  
Total  
0
9
0
0
270  
600  
M.L= mid land, L.L = low land, H.L= high land  
Data Collection  
General information of the area, topography, climatic data and population size were obtained from secondary  
data from districts agricultural development offices. In each sampling site, the selected cattle owners were briefed  
about the importance and objectives of the study before the commencement of the actual data collection. Visual  
observation was made and morphological features were recorded based on breed morphological characteristics  
descriptor list [14, 15]. Linear body measurements were taken using a standard textile measuring tape and  
standard steel tape. Qualitative and quantitative traits were recorded through prepared check list from 192 mature  
males and 408 mature females. A total of 12 qualitative traits were examined and recorded: body hair color  
pattern, body hair coat color, udder size, horn presence, horn shape, horn orientation, ear orientation, hump size,  
navel flap (for cows), preputial sheath (for bulls), facial (head) profile and tail length.  
A total of 11 quantitative traits were measured and recorded: heart girth, body length, height at withers,  
height at rump, pelvic width, ear length, horn length, cannon bone circumference, mouth circumference and body  
weight. The morphological variables recorded in this study were adapted from the standard cattle breed descriptor  
list [7] and extensively used in Ethiopia [15- 17]. Every animal to be measured was identified by sex and study site.  
Data Management and Analysis  
Qualitative and quantitative body measurement data were first entered into Excel 2007 computer software  
and analyzed using SPSS version 20. Qualitative data were analyzed using the frequency procedure of SPSS. While  
quantitative data were analyzed using the Generalized Linear Model (GLM) procedure of SAS. Sex and district  
(agro ecology) were fitted as fixed effects while linear body measurements were fitted as dependent variables.  
When analysis of variance declares significance, least square means were separated. Pearson’s correlation  
coefficients were estimated among body weight and linear body measurements and between linear body  
measurements for females and males (SPSS version 20). Correlations (Pearson’s correlation coefficients) between  
body weight and the linear measurements were computed for the population within each sex. To quantify the  
effect of independent variables (site and sex) on the linear body measurement (dependent variables) of the  
sample populations, the GLM procedure of SPSS 20 was employed. The model fitted for linear body  
measurements for sample populations was, Yijk = µ + Ai + Sj + eijk  
Where,  
Yijk = Observed value of the trait of interest  
µ = Overall mean  
Ai = Fixed effect of ith agro ecology (sites)  
Sj = Fixed effect of jth sex  
eijk = Residual random effect  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
129  
RESULTS AND DISCUSSION  
Phenotypic Characterization  
On farm phenotypic characterization of cattle breed includes all the qualitative description and  
morphological measurements of the animal. It is a primary and low cost animal genetic resource characterization  
as compared to the on-station [18].  
Qualitative trait of indigenous cattle types found in Low land, High land and Mid land agro-ecologies are  
presented in Table 2. The most frequent color patterns observed in the study area were plain 63.17%, patchy  
18.5% and spotted 18.33%. Out of the 63.17% (largest), plain coat color pattern, 39.67% light red, 21.33% black,  
17% dark red, 14.33% grey and 7.67% fawn were the dominant color types (Figure 2). Comparably in Fentalle  
district the dominantly observed coat colour patterns for Kereyu cattle were 31.7%, 33.3% and 35 % for plain,  
patchy and spotty, respectively [19]. And in mursi areas frequently observed coat patterns were plain 52.0%, pied  
36.0% and spotted 12.0% [20]. Light red coat colour was mostly observed in the study area Table 2 Similar to  
Raya Sanga [16]. In contrast to this, for Boran cattle white was dominant coat color [8], white and black  
frequently observed coat colour for Mursicattle breeds [20] and Grey color was the most observed forkereyu  
cattle breeds [19].  
In the study area among the sampled cattle population the majority (96.83%) of cattle had horn, whereas,  
3.17% were polled. Out of 96.83% horned cattle population 58.5% straight, 36.67% curved and 4.17% lyre were  
mainly observed horn shapes in the study areas. 47.5% of horns were oriented tips pointing laterally, 25.5%  
upwards, 25.5% forward and 1.5% down wards (Figure 3). Hump size difference were observed between male  
and female population in each district (Table 2 and 3).  
Figure 2. Different coat colour of local cattle in Mid and Low land agro-ecologies respectively.  
Figure 3. Hump size and horn orientation of local cattle in the study areas  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
130  
Table 2. Qualitative trait description of male animal in West Gojjam zone  
Overall  
mean  
Low land  
N(%)  
High land  
N(%)  
Mid land  
N(%)  
Districts (agro ecology)  
Phenotypic variables  
Coat color Patter  
N(%)  
Plain  
Patchy  
Spotted  
45(65.2)  
14(20.3)  
10(14.5)  
26(50.0)  
12(23.1)  
14(26.9)  
44(62.0)  
13(18.3)  
14(19.7)  
115(59.9)  
39(20.3)  
38(19.8)  
X2value = 60.97*  
Hair Coat color  
Black  
14(20.3)  
7(10.1)  
36(52.2)  
3(4.3)  
8(15.4)  
11(21.2)  
21(40.4)  
5(9.6)  
7(13.5)  
16(22.5)  
9(12.7)  
27(38.0)  
6(8.5)  
38(19.8)  
27(14.0)  
84(43.8)  
14(7.3)  
Dark red  
Light red  
Fawn  
Grey  
9(13.0)  
13(18.3)  
29(15.1)  
X2value = 75.3*  
Horn presence  
Horned  
Polled  
67(97.1)  
2(2.9)  
49(94.2)  
3(5.8)  
X2value = 165.0*  
69(97.2)  
2(2.8)  
185(96.4)  
7(3.6)  
Horn shape  
Straight  
Curved  
Lyre-shape  
Loose  
47(68.1)  
20(29.0)  
1(1.4)  
29(55.8)  
20(38.5)  
2(3.8)  
41(57.7)  
24(33.8)  
6(8.9)  
0
117(60.9)  
64(33.3)  
9(4.7)  
1(1.4)  
1(1.90  
X2value = 180.3*  
2(1)  
Horn orientation  
lateral  
30(43.5)  
22(31.9)  
1(1.4)  
21(40.4)  
13(25.0)  
0(0)  
40(56.3)  
16(22.5)  
2(2.8)  
91(47.4)  
51(26.6)  
3(1.6)  
Upward  
Downward  
Forward  
16(23.2)  
18(34.6)  
13(18.3)  
47(24.5)  
X2value = 80.9*  
Ear orientation  
Erect  
Lateral  
0
1(1.9)  
51(98.1)  
0
1(0.05)  
188(97.9)  
67(97.1)  
70(98.6)  
Drooping  
2(2.9)  
0
1(1.4)  
3(1.6)  
X2value = 360.3*  
Hump size  
Small  
Medium  
Large  
11(15.9)  
43(62.3)  
15(21.7)  
4(7.7)  
17(32.7)  
14(19.7)  
30(42.3)  
27(38.0)  
29(15.1)  
90(46.9)  
61(31.8)  
29(55.8)  
X2value = 99.4*  
Perpetual Sheath (bull)  
Small  
Medium  
Large  
14(20.3)  
31(44.9)  
24(34.8)  
12(23)  
26(50.0)  
14(26.9)  
8(11.3)  
37(52.1)  
26(36.6)  
34(8.3)  
94(48.9)  
64(15.7)  
X2value = 119.4*  
Facial (head)  
Straight  
Concave  
Convex  
60(87.0)  
3(4.3)  
6(8.7)  
48(92.3)  
3(5.8)  
1(1.9)  
63(88.7)  
3(4.2)  
5(7.0)  
1171(89)  
9(4.7)  
12(6.3)  
X2value = 268.4*  
Tail length  
Short  
Medium  
Long  
1(1.4)  
2(2.9)  
66(95.7)  
0
0
1(1.4)  
1(1.4)  
69(97.2)  
2(0.1)  
3(1.6)  
187(97.4)  
52(100)  
Pr. = perpetual, facial = facial profile  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
131  
Table 3. Qualitative trait description of female animal in West Gojjam zone  
Overall mean  
N(%)  
Districts (agro ecology)  
Phenotypic variables  
Low land  
N(%)  
High land  
N(%)  
Mid land  
N(%)  
Coat color Patter  
Plain  
84(64.1)  
21(16.0)  
26(19.8)  
87(58.8)  
28(18.9)  
33(22.3)  
93(72.1)  
23(17.8)  
13(10.1)  
264(64.7)  
72(17.96)  
97(23.8)  
Patchy  
Spotted  
X2value = 179.3*  
Hair Coat color  
Black  
33(25.2)  
15(11.5)  
60(45.8)  
5(3.8)  
32(21.6)  
38(25.7)  
41(27.7)  
25(19.4)  
22(17.1)  
53(41.1)  
4(3.1)  
90(22.0)  
75(18.4)  
154(37.8)  
32(7.8)  
Dark red  
Light red  
Fawn  
23(15.5)  
Grey  
18(13.7)  
14(9.5)  
X2value = 103.2*  
25(19.4)  
57(13.9)  
Horn presence  
Horned  
Polled  
128(97.7)  
3(2.3)  
141(95.3)  
7(4.7)  
X2value = 165.0*  
127(98.4)  
2(1.6)  
396(97.1)  
12(2.9)  
Horn shape  
Straight  
Curved  
Lyre-shape  
Loose  
79(60.3)  
40(30.5)  
11(8.4)  
1(0.8)  
83(56.1)  
60(40.5)  
4(2.7)  
72(55.8)  
56(43.4)  
1(0.8)  
0
234(57.4)  
156(38.2)  
16(8.3)  
1(0.7)  
X2value = 365.6*  
2(0.5)  
Horn orientation  
lateral  
66(50.4)  
26(19.8)  
2(1.5)  
65(43.9)  
42(28.4)  
0
63(48.8)  
34(26.4)  
4(3.1)  
194(47.5)  
102(25)  
6(1.5)  
Upward  
Downward  
Forward  
37(28.2)  
41(27.7)  
28(21.7)  
106(26)  
X2value = 171.3*  
Ear orientation  
Erect  
Lateral  
Drooping  
0
7(4.7)  
141(95.3  
0
0
7(1.7)  
390(95.6)  
11(2.7)  
130(99.2)  
1(0.8)  
119(92.2)  
10(7.8)  
X2value = 708.0*  
Uder Size  
Small  
Medium  
Large  
26(19.8)  
64(48.9)  
41(31.3)  
27(18.2)  
85(57.4)  
26(20.2)  
59(45.7)  
44(34.1)  
79(19.4)  
208(50.9)  
121(29.7)  
36(24.3)  
X2value = 212.6*  
Hump size  
Small  
Medium  
Large  
122(93.1)  
9(6.9)  
0
109(73.6)  
35(23.6)  
4(2.7)  
X2value = 537.6*  
125(96.  
4(3.1)  
0
356(87.3)  
48(11.8)  
4(0.9)  
Navel flap  
29(22.1)  
75(57.3)  
27(20.6)  
46(31.1)  
72(48.6)  
20(13.5)  
X2value = 624.9  
24(18.6)  
71(55.0)  
34(26.4)  
99(24.6)  
218(53.4)  
81(19.9)  
Small  
Medium  
Large  
Facial (head)  
Straight  
Concave  
Convex  
114(87)  
10(7.6)  
7(5.3)  
143(96.6  
2(1.4)  
3(2.0)  
X2value = 629.6*  
117(90.7)  
9(7.0)  
3(2.3)  
374(91.7)  
21(5.1)  
13(2.0)  
Tail length  
Short  
Medium  
Long  
2(1.5)  
2(1.5)  
127(96.9  
0
1(0.8)  
4(3.1)  
124(96.1)  
3(0.07)  
18(4.4)  
390(95.6)  
12(8.1)  
136(91.9  
X2value = 697.7*  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
132  
Hump size of male cattle population were 15.9% small, 62.3% medium and 21.7% large in Low land, 7.7%  
small, 32.7% medium and 55.8% large in High land and 19.7% small, 42.3% medium and 38% large in Mid land  
agro-ecology. Whereas, for cow 93.1% small and 6.9% medium in Low land, 73.6% small, 23.6% medium and 2.7  
% large High land and 96.9% small and 3.1% medium in Mid land agro-ecologies.  
The overall facial profile of the three districts was 90.83% straight 5% concave and 4.17% convex. Likewise,  
their ear orientations were 1.3% erected, 96.33% laterally oriented and 2.3% dropping oriented. A total of both  
male and female cattle population in the study areas having tail length of 95.67% long (blow the hocks, 3.5%  
medium (about the hocks) and 0.83% short (above the hocks) (Figure 4). The perpetual sheath of male sample  
population were 20.3% small, 44.9% medium and 34.8% large in Low land, 23.1% small, 50% medium and  
26.9% large in High land and 11 .3% small, 52.1% medium and 36.6% in Low land agro-ecology.  
From the total female cattle population evaluated, udder size of 19.8% them were small, 48.9% medium and  
31.3% large in Low land, 18.2% small, 57.4% medium and 24.3% large in High land and 20.2% small, 45.7%  
medium and 34.1% large in Mid land agro-ecology (Figure 5). Similarly navel flap for cows were 22.1% small,  
57.3% medium and 20.6% large in Low land, 31.1% small, 48.6% medium and 13.5% large in High land and  
18.6% small, 55% medium and 26.4% large in Mid land agro-ecologys. As shown in Table 2, all of qualitative traits  
were significantly different among districts and this difference might be due to the agro ecological difference of  
the three districts.  
Figure 4. Perpetual sheath and tail length of the bull in Mid land and Low land agro-ecology respectively.  
Figure 5. Udder size and naval flap of cow respectively in High land agro-ecology  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
133  
Table 4. Body measurements (cm) of adult local cattle population in the study area (LSM±SE)  
Variables  
MC  
HL  
EL  
LSM±SE  
HW  
LSM±SE  
BL  
N
LSM±SE  
N
LSM±SE  
N
N
N
LSM±SE  
Over all  
Agro-ecology  
Low land  
High land  
Mid land  
Sex  
600  
--  
38.9±0.07  
*
600  
22.84±0.42  
NS  
600  
19.83±0.06  
*
600  
114.5±0.24  
NS  
600  
115.41±0.24  
*
200  
200  
200  
--  
38.3±0.12  
39.2±0.12  
39.2±0.12  
*
200  
200  
200  
22.4±0.66  
22.6±69  
23.5±0.67  
*
200  
200  
200  
19.4±0.09  
19.8±0.1  
20.2±0.09  
*
200  
200  
200  
115±0.4  
114±0.4  
114.5±0.4  
*
200  
200  
200  
116.7±0.3  
114.4±0.3  
115±0.3  
*
Male  
192  
408  
40.07±0.12  
38.8±0.08  
192  
408  
23.9±0.7  
21.8±0.5  
192  
408  
20.2±0.1  
19.5±0.07  
192  
408  
116.2±0.4  
112.8±0.3  
192  
408  
117.06±0.3  
113.7±0.2  
female  
NS= Non significant; N = number of household; LMS =least square mean; SE = standard error  
Table 4. (Continued)  
Variables  
HG  
LSM±SE  
146.04±0.27  
*
PW  
LSM±SE  
36.5±0.09  
*
TL  
LSM±SE  
78.6±0.22  
RH  
LSM±SE  
115.8±0.25  
NS  
CBC  
LSM±SE  
20.3±0.06  
*
BW  
N(LSM±SE)  
600 (266.8±2.3)  
*
N
600  
--  
N
600  
N
600  
N
600  
N
600  
Over all  
Agro- ecology  
Low land  
High land  
Mid land  
Sex  
NS  
200  
200  
200  
--  
144.8±0.43  
147.2±0.4  
146.±0.44  
*
200  
200  
200  
36.3±0.14  
36.4±0.15  
37±0.14  
*
200  
200  
200  
78.8±0.35  
79±0.4  
200  
200  
200  
115.8±0.42  
115.8±0.43  
115.9±0.4  
*
200  
200  
200  
20.3±0.09  
20±0.09  
20.5±0.09  
*
200 (260±2.18)  
200 (272.2±2.4)  
200 (268.3±2.2)  
*
78.1±0.35  
*
Male  
192  
408  
151.8±0.44  
140.3±0.30  
192  
408  
37.08±0.15  
35.98±0.1  
192  
408  
79.6±0.36  
77.7±0.24  
192  
408  
117.2±0.14  
114.5±28  
192  
408  
21.14±0.09  
19.5±0.06  
192 (300.7±4.3)  
408 (243.6±2.3)  
female  
NS= Non significant; N = number of household; LMS =least square mean; SE = standard error  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones, Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138;  
134  
Table 5. Coefficient of correlations between body weight and linear body measurements (Above diagonal for male and below diagonal for female)  
MC  
HL  
EL  
HW  
BL  
HG  
PW  
TL  
RH  
CBC  
BW  
MC  
HL  
0.210**  
0.304**  
0.002 ns  
0.479**  
0.212**  
0.187**  
0.259**  
0.332**  
0.169ns  
0.530**  
0.566**  
0.116 ns  
0.406**  
0.431**  
0.330**  
0.309**  
0.100 ns  
0.377**  
0.290**  
0.303**  
0.547**  
0.368**  
0.163*  
0.293**  
0.117 ns  
0.125 ns  
0.537**  
0.303**  
0.324**  
0.245**  
0.324**  
0.567**  
0.409**  
0.318**  
0.462**  
0.415**  
0.510**  
0.368**  
0.382**  
0.368**  
0.564**  
0.123 ns  
0.393**  
0.439**  
0.339**  
0.984**  
0.547**  
0.496**  
0.322**  
0.504**  
0.215**  
0.440**  
0.198**  
0.310**  
0.452**  
0.393**  
0.366**  
0.386**  
0.413**  
0.439**  
EL  
0.047  
0.316**  
0.337**  
0.283**  
0.497**  
0.370**  
HW  
BL  
0.101**  
0.172**  
0.057ns  
0.136**  
0.215**  
0.176**  
0.069 ns  
0.066 ns  
0.117**  
0.171**  
0.244**  
0.482**  
0.268**  
0.162**  
0.282**  
0.235**  
0.276**  
0.275**  
0.187**  
0.278**  
0.588**  
0.285**  
0.278**  
HG  
PW  
TL  
0.385**  
0.238**  
0.314**  
0.480**  
0.445**  
0.379**  
0.301**  
0.477**  
0.509**  
0.430**  
0.994**  
0.355**  
0.222**  
0.278**  
0.293**  
RH  
CBC  
BW  
0.436**  
0.304**  
0.467**  
0.397**  
0.507**  
0.423**  
ns non- significance; MC= Mouth Circumference, HL= Horn Length, EL= Ear Length, HW= Height at Wither, RH= Rump Height, BL= Body Length, HG= Heart Girth, PW= Pelvic Width, TL= Tail  
length, RH= Rump height and CBC= Cannon bone circumference  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones, Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138;  
135  
Morphological measure of adult cattle population  
The quantitative measures of some phenotypic traits of local cattle population are summarized in (Table 4).  
The overall least squares means and standard error values of mouth circumference, horn length, ear length,  
height at wither, body length, heart girth, pelvic width, tail length, rump height and cannon bone circumference  
were 38.9±0.07cm, 22.8±0.42cm, 19.83±0.06 cm,114.5±0.2cm, 115.4± 0.2cm, 146±0.27cm, 36.5±0.09cm,  
78.6±0.22cm, 115.8±0.25cm and 20.3±0.6 cm, respectively. All phenotypic measurements listed on the above  
were significantly different (P<0.05) between male and female cattle. Most body measurements of cattle like  
heart girth, body length, pelvic width, ear length, cannon bone circumference, mouth circumference and body  
weight were also significant difference (P<0.05) among Low Land, High Land and Mid Land locations. The  
possible reason for the difference may be agro ecological difference among districts. But horn length, tail length,  
height at whither and rump height were did not shows significant difference (P<0.05) among the three agro  
ecologies. Body length, chest girth, and wither height of the male cattle were measured to be 117.6±0.3,  
151.8±0.44, and 116.25±0.4 cm, respectively. These measurements were found lower than body measurements  
reported on the same sex for Boran cattle breeds [8], Mursi cattle breeds [20] and for Wollocattle [16] except  
heart girth. But heart girth of this result was aligned with that reported [16] for Wollo cattle breed. Like other  
local zebu cattle populations, the male and female of this result showed significantly different for most of  
morphological measurements and all linear measurement male value greater than female’s. Different reports  
revealed that the mean value of on-farm morphological traits measurement on local male and female cattle result  
that males are usually greater than their counter female groups [21, 22, and 19]. Therefore cattle populations in  
the study areas were varied with qualitative and quantitative traits from former findings of Fasil and Dereje [17,  
16] respectively and there was no sufficient evidence to classify either of them.  
Correlation between Body Weight and Linear Body Measurements  
Pearson's correlation coefficient between body weight and linear body measurements for male and female  
were calculated and presented in the (Table 5). In males all of linear body measurements have positive  
association with body weight and strong association was found between body weight and chest girth (r=0.984),  
whereas mouth circumference (r=0.56), tail length (r=0.5), pelvic width (r=0.55) and cannon bone circumference  
(r=0.5) had moderate correlation with body weight. Wither height (r=0.44), body length (r=0.34), rump height  
(r=0.32) and ear length (r=0.39) showed mild correlation with body weight. But horn length for both sex male  
(r=0.12) and female (r=0.002) did not showed significant correlation with body weight. These linear body  
measurements that showed moderate and mild correlation were may not significantly affected by the change in  
body weight; hence, they are not more important in prediction of live body weight of the animal. In females also  
all of linear body measurements have positive association with body weight and strong association was found  
between heart girth and body weight. Rump height showed moderate correlation (r=0.50), with body weight.  
Height at wither (r=0.28), body length (r=0.38), mouth circumference (r=0.44), tail length (r=0.48), pelvic width  
(r=0.29) and cannon bone circumference (r=0.42)were showed mild correlation, whereas ear length (r=0.24) had  
weak correlation with body weight. Generally as the result of correlation showed heart girth (chest girth) was the  
most important than other linear body measurement for both male and female to estimate body weight.  
Estimated Mature Body Weight of the Sample Population by sex  
The estimated average mature body weight as used conversion of from heart girth were 300.7±4.3 for male  
and 243.6± 2.3 kg for female with at rang of (214-388 kg) for male and (164-381kg) for female. These Variations  
were observed among individuals which were compared to other local cattle [19] ranging from 196.9 to 333.6 for  
females and from 178.1 to 428.2 kg for males. Based on the estimated body weight of the individual animals the  
following linear regression equations (body weight on heart girth) were developed separately for both sexes.  
Ym= -481.55 + 4.89x for bulls and  
Yf = -405.22 + 4.64x for cows  
Where:  
Yf = estimated body weight of mature female cattle (kg)  
Ym= estimated body weight of mature male cattle (kg)  
x = heart girth.  
To cite this paper: Tenagne A, Mekuriaw G and D Kumar. 2016. Phenotypic Characterization of Indigenous Cattle Populations in West Gojjam Administrative Zones,  
Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
136  
CONCLUSIONS AND RECOMMENDATIONS  
The most dominant coat colour pattern was plain and frequently observed coat colour type being light red.  
The majority of cattle were possessed horn with straight shape and tips pointing lateral orientation. Sample  
population of bulls had medium hump size and perpetual sheath whereas cows possessed medium udder size and  
naval flap. Sex of animals had significant effect (P<0.05) on body weight and all of the body measurements.  
District (agro ecology) also had significant effect on body weight and all of the body measurements except height  
at whither, horn length, tail length and rump height (P<0.05). Among the body measurements of sample  
population moderate and significant (P<0.05) positive correlation was found. Chest girth was the most important  
linear body measurement to estimate body weight.  
Overall, cattle populations in the study areas were varied from former local cattle bred that were identified  
in Gojjam and Wollo areas. Therefore further characterization of local cattle in the study area at molecular level  
should is duly required.  
Acknowledgements  
We would like to thank Kebele DA’s and districts experts for their unreserved assistance in data  
collection and body measurement  
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Amhara National Regional State, Ethiopia. J. Life Sci. Biomed. 6(6): 127-138; www.jlsb.science-line.com  
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