In Sub-Saharan Africa, poultry farming is of significant importance in rural areas and constitutes the primary source of animal protein for populations (Ayssiwede et al.
[1]
; Ngouonimba et al.
[2]
). Poultry is generally perceived as a safe saving and insurance against the risks of reduced food production and income (Fotsa et al.
[3]
). Also, poultry farming and local poultry products are at the center of many events in the social, cultural, economic and religious life of the populations (wedding ceremonies, traditional pharmacopoeia and maintaining social cohesion within traditional communities through donations and receiving visitors).
In Cameroon, intensive poultry farming is slow to spread in all agro-ecological zones of the country due to significant agro-ecological variations. In the Far North Region, village chicken farming represents the main source of animal protein of avian origin available and accessible for populations in different rural, peri-urban and urban environments
[4]
[5]
. Village chicken also constitutes the main source of income for the poorest populations in this part of the country (Fotsa et al.
[3]
).
Despite the constraints linked to climatic hazards (severe drought), and health constraints linked to the resurgence of epidemics, the good adaptability of poultry to environmental conditions always favors a gradual reconstitution of livestock among breeders over the seasons. This breeding, rooted in the tradition of the populations, thus appears to be an important means of contributing to the resilience of the populations
[5]
.
However, socio-economic changes, the liberalization of markets for industrial products of animal origin, urbanization, conflicts, natural disasters, the lack of health control and epidemic risks such as avian flu are all constraining factors that make old breeds very vulnerable. Although local chickens are still very closely linked to cultural values and geographical origins and are especially adapted to the local environment, many of them have suffered a significant decrease in the size of their populations and are therefore exposed to an erosion of their genetic diversity (Larivière et al.
[6]
, Ayssiwede et al.
[1]
). Moreover, the strong pressure of crossbreeding with improved breeds coming from the southern part of the country or entering fraudulently from neighboring Nigeria constitutes a permanent threat to this population of chickens in the region. Therefore, the development and sustainable management of the local genetic potential of chickens first require the urgent production of new knowledge on these resources. This approach involves taking into account the anthropogenic knowledge of breeders while respecting the use of characterization tools recommended by FAO
[7]
and AU-IBAR
[8]
. Conducted with the aim of contributing to a better understanding of the biodiversity of local chickens, breeding basins with large flocks of local chickens have been identified in the Far North Region of Cameroon
[4]
. The results of this work can contribute to better conservation management and appropriate development of local poultry genetic resources in the region.
2. Study Area and Data Collection2.1. Study Area
The study area was circumscribed in 6 districts representing the basins with high population potential of local chickens in the Far North Region of Cameroon (
Figure 1
).
Figure 1. Location map of the study area.
The Far North Region extends between 10˚ and 13˚ North latitudes and 13˚ and 16˚ East longitudes. It covers an area of 34,263 km2, or 7% of the national territory. In 2017, the population of the region was estimated at 4,186,844 inhabitants, or 18.01% of the total population of Cameroon, with an average density of 122 inhabitants/km2
[9]
. This Region is subject to a tropical climate in the broad sense, characterized by a single rainy season centered on a maximum in August. The average rainfall varies from 400 to 1100 mm per year
[9]
. The dry season is all the more rigorous and long (seven months and more) as one moves towards the North and away from the Mandara Mountains. The intense sunshine and high temperatures are often felt more as one approaches the shores of Lake Chad. Furthermore, the relative humidity in the region is quite low with an average of 35% in the plains.
2.2. Data Collection and Statistical Analysis
Sampling was carried out mainly in basins with large numbers of local chickens in the Far-North Region, Cameroon. The accessibility and consent of volunteer breeders to data collection also made it possible to cover the identified breeding basins. All the localities identified as basins with large numbers of local chickens were identified on the basis of the annual numbers of poultry by district reported by the statistics of the Ministry of Livestock, Fisheries and Animal Industries. Also, the flow of local poultry supplying the rural, peri-urban and urban markets of the region also guided the choice of the identified localities. A sample of 240 adult local hens aged 6 to 12 months, i.e. 172 hens and 68 roosters were identified and characterized exclusively in family farms that did not have exogenous breeds. In addition, the choice of animals to be characterized was also based on their apparent good health. A data collection sheet was designed and implemented according to the models recommended by FAO
[7]
and AU-IBAR
[8]
. The qualitative description of the parameters of phenotypic diversity was made according to the method described by Mohammi et al.
[10]
and Messabhia
[11]
. For this purpose, each adult chicken was the subject of a direct phenotypic description based mainly on qualitative data. After observations with the naked eye and in daylight, this description focused mainly on: the determination of the sex of the animal; the size of the animal; the colorations of the different parts (crest, eyes, earlobes, wattles, beak, eyelobe, skin, plumage and tarsi); the types of crest (single or double or pink); the types of plumage (smooth, curly or silky); the distribution of plumage or extent (bare neck, feathered legs, crested head and uniform plumage). The said visible characteristics were photographed for a better illustration of the phenotypic diversity (
Figures A1-A6
).
Descriptive statistics were used to describe the characteristics of the individuals studied. The contingency test was used to test the association or independence between the factors sex, localities and qualitative characters. These analyses were carried out using SPSS software version 21.0.
<xref ref-type="bibr" rid="scirp.138750-"></xref>3. Results and Discussions3.1. Plumage Coloration According to Localities
Table 1
presents the distribution of feathering colorations of local chicken populations according to sex and localities.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 1. Distribution of feathering color according to localities and sex.
Plumage Coloration
Doukoula
Dziguilao
Guidiguis
Maroua 3
Meri
Yagoua
Sex
Total
t.c.
Female
Male
n
%
n
%
n
%
n
%
n
%
n
%
n
%
n
%
N
%
White
3
8.1
0
0
9
18.7
2
5.9
0
0
3
7.5
13
7.5
4
5.8
17
7.1
*
Ermined
0
0
0
0
1
2.1
3
8.9
0
0
0
0
4
1.7
0
0
4
1.7
*
Partridge golden
0
0
2
5
1
4.2
3
8.9
8
19.5
0
0
15
6.2
0
0
15
6.2
White-Pie-Black
9
24.3
11
27.5
5
10.4
5
14.7
8
19.5
14
5.9
40
16.6
12
5
52
21.7
Multicolor
15
40.5
9
22.5
9
18.7
1
2.9
3
7.3
13
32.5
32
13.3
18
7.5
50
20.8
Fawny
1
2.7
4
10
1
2.1
0
0
0
0
0
0
6
2.1
1
0.4
6
2.5
Fawny-silver
1
2.7
0
0
0
0
0
0
0
0
0
0
0
0
1
0.4
1
0.4
Fawny-golden
0
0
0
0
1
2.1
0
0
0
0
0
0
1
0.4
0
0
1
0.4
Fawnyand black
0
0
0
0
2
4.2
0
0
0
0
0
0
2
0.8
0
0
2
0.8
Black
0
0
1
2.5
1
2.1
2
5.9
0
0
2
5
6
2.5
0
0
6
2.5
Black-silver
4
10.8
4
5
0
0
3
8.9
3
7.3
4
10
10
4.2
3
1.2
13
5.4
Black-golden
0
0
4
5
7
14.6
6
17.6
12
29.3
1
2.5
21
8.7
9
3.8
30
12.5
Black-red
0
0
2
5
3
6.2
1
2.9
4
9.7
0
0
4
1.7
6
2.5
10
4.2
Red
0
0
0
0
5
10.4
0
0
0
0
0
0
4
1.7
1
0.4
5
2.1
Black and red golden
4
10.8
1
2.5
0
0
0
0
0
0
3
7.5
1
0.4
7
2.9
8
3.3
Red-white
0
0
1
2.5
1
2.1
0
0
0
0
0
0
0
0
2
0.8
2
0.8
Red-golden
0
0
1
2.5
1
2.1
8
23.5
3
7.3
0
0
6
2.5
7
2.9
13
5.4
Total
37
100
40
100
48
100
34
100
41
100
40
100
172
68
240
100.0
n: effective; %: Frequency; N: Total number by plumage coloration; t.c.: contingency test; **: significative (p < 0.01). The contingency test (p < 0.01) shows that localities influence feathering.
Observations (
Table 1
) made on the distribution of feathering colors illustrate 17 different colorations. The White-Pie-Black (21.7%) and the Multicolor (20.8%) colorations are dominant. On the other hand, the fawny-silver, fawny-gold, ermine and red-white colorations are less represented. This observed diversity shows that the plumage colorations of local hens are very varied (
Figure A1
). These results are similar to those described by Roukayath
[12]
and Haoua et al.
[13]
. They also corroborate those of Bessadok et al.
[14]
in Tunisia illustrating that local hens offer a variability of plumage whose chance of crossbreeding intermingles the different shades of plumage. Sarker et al.
[15]
further showed that color variations in native chickens are regulated by seven to nine genes, and the pubescent weight of birds from local populations is closely linked to their plumage color and type.
3.2. Comb Coloration According to Locality and Sex
Table 2
shows the distribution of comb color according to locality and sex of local chicken populations.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 2. Distribution of comb color according to locality and sex.
Localities
Pink Crest
Red Crest
Black Crest
Total
n
%
n
%
N
%
N
Doukoula
25
67.57
11
29.73
1
2.70
37
Dziguilao
15
37.5
24
60
1
2.5
40
Guidiguis
9
18.75
35
72.92
4
8.33
48
Maroua 3
7
20.59
24
70.59
3
8.82
34
Meri
10
24.39
24
58.54
3
7.32
41
Yagoua
24
60
14
35
2
5
40
Total
90
37.50
132
55.00
14
5.83
240
Sex
Female
87
50.58
71
41.28
14
8.14
172
Male
3
4.41
65
95.59
0
0
68
Total
90
37.5
136
56.67
14
5.83
240
t.c.
**
n: effective; %: Frequency; N: Total number; t.c.: contingency test; **: significative (p < 0.01). The contingency test (p < 0.01) shows that localities and sex influence the crest coloration.
At the level of the crests (
Table 2
), the most representative colorations observed are red (56.67%) and pink (37.5%) compared to the black crest coloration (5.83%). Also, depending on the sex, the pink crest dominates in females (50.58%), while in males it is the red crest that dominates with 95.59% (
Figure A2
). These results are in contradiction to those obtained by Haoua et al.
[13]
, noting a percentage of 43.17% of red crest in males. However, they corroborate those obtained by Messabhia
[11]
, in Algeria, with 87.1% of red crest, 12.9% of pink crest in males in addition to other relatively weak colorations such as grey, black and white. Which also corroborates the work of Mahammi et al.
[10]
whose dominant color is red with percentages ranging from 55.1% to 90.4%.
3.3. Beak Coloration According to Locality and Sex
Table 3
shows the distribution of beak coloration according to locality and sex.
For the beak colors (
Table 3
), grey-white (30.83%), White (24.58%) and black (24.17%) dominate. On the other hand, the grey-yellow coloration (4.58%) is the least representative and is reflected in both females and males with respectively (5.81%) and (1.47%). However, depending on the sex, females are distinguished by white (29.65%), grey-white (26.16%) and black (25%) beaks. In males, grey-white (42.65%) and black (22.06%) beaks are the most frequent (
Figure A3
). These results are similar to those observed by Keambou et al.
[16]
, listing the presence of different colorations including grey or horny with a percentage of 47.4% against 21.6% for black and 24.7% for yellow. The observations made by Mahammi et al.
[10]
also corroborate with our observations. On the other hand, Moula et al.
[17]
and Bembide et al.
[18]
found that horny (gray) beak color is less frequent than yellow.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 3. Distribution of beak coloration according to locality and sex.
Localities
White
Yellow
Grey
Black
Grey-White
Grey-Yellow
Total
n
%
n
%
n
%
n
%
n
%
n
%
N
Doukoula
7
18.92
2
5.41
1
2.70
9
24.32
18
48.65
0
0.00
37
Dziguilao
11
27.50
5
12.50
3
7.50
7
17.50
10
25.00
4
10.00
40
Guidiguis
9
18.75
8
16.67
2
4.17
9
18.75
13
27.08
7
14.58
48
Maroua 3
11
32.35
2
5.88
11
32.35
7
20.59
3
8.82
0
0.00
34
Meri
12
29.27
0
0.00
4
9.76
11
26.83
14
34.15
0
0.00
41
Yagoua
9
22.50
0
0.00
0
0.00
15
37.50
16
40.00
0
0.00
40
Total
59
24.58
17
7.08
21
8.75
58
24.17
74
30.83
11
4.58
240
Sex
Female
51
29.65
10
5.81
13
7.56
43
25.00
45
26.16
10
5.81
172
Male
8
11.76
7
10.29
8
11.76
15
22.06
29
42.65
1
1.47
68
Total
59
24.58
22
9.17
21
8.75
58
24.17
74
30.83
6
37.5
240
t.c.
**
n: Number; %: Frequency; N: Total number; t.c.: contingency test; **: significant (p < 0.01). The contingency test (p < 0.01) reveals that the beak coloration is influenced by the locality and the sex.
3.4. Coloration of Barbels and Eyelobe
Table 4
shows the distribution of barbel and eyelobe color according to locality and sex.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 4. Distribution of barbel and eyelobe color according to locality and sex.
Localities
Barbel Coloration
Eyelobe Coloration
Black
Pink
Red
Red Black
Blk Yellow
Black-Orange
Black-Gray
Total
n
%
n
%
n
%
n
%
n
%
n
%
n
%
N
Doukoula
1
2.70
24
64.86
11
29.73
1
2.703
3
8.11
34
91.89
0
0
37
Dziguilao
0
0
13
32.5
25
62.5
2
5
5
12.5
34
85
2
5
40
Guidiguis
0
0
9
18.75
38
79.17
1
2.08
8
16.67
38
79.17
2
4.167
48
Maroua 3
0
0
7
20.59
25
73.53
2
5.88
0
0
34
100
0
0
34
Meri
0
0
10
24.39
31
75.61
0
0
0
0
41
100
0
0
41
Yagoua
2
5
22
55
14
35
2
5
2
5
38
95
0
0
40
Sex
Female
3
1.74
82
47.67
79
45.93
8
4.65
13
7.56
156
90.7
3
1.74
172
Male
0
0.00
3
4.41
65
95.60
0
0.00
5
7.35
62
91.18
1
1.47
68
Total
3
1.25
85
35.42
144
60
8
3.33
18
7.5
118
49.17
4
1.67
240
t.c.
**
**
n: Number; %: Frequency; N: Total number; t.c.: contingency test; **: significant (p < 0.01). The contingency test (p < 0.01) shows that the coloration of the barbel and that of the eyelobe are both influenced by the locality and the sex.
At the level of the barbels (
Table 4
), the results indicate a domination of red (60%) and pink (35.4%) compared to the weakest coloration black (1.25%). Depending on the sex, it emerges from this result that the red (47.67%) and pink barbels (45.93%) have similar proportions in females unlike the males almost dominated by Red (95.6%). These results corroborate the results of Mahammi et al.
[10]
, Mahammi
[19]
and Messabhia
[11]
, according to which red wattles dominate with (88%) followed by pink wattles (10.5%) and rarely black wattles (1.5%).
The results on the colorations of the eyelobe (
Table 4
) show that the black-orange coloration is dominant (91.25%) on all the subjects of the different basins. Furthermore, depending on the sex, the black-orange coloration of the eyelobe dominates at 90.7% in females and 91.6% in males respectively. On the other hand, the least frequent coloration is the black-gray (1.67%) generally observed in animals with totally black plumage, beak and tarsi. Also, these observations of the eyes are genetically little studied. According to Fotsa et al.
[3]
, the dominant red-orange color of the eyes of our hens corresponds to wild-type hens. These colorations would result from interactions between alleles at the locus E “extension”, B “barring”, ID “inhibitor of dermal melanin” and BR “brown-eye”, the colorations at the level of the eye lobe, corroborate those of Mahammi
[19]
who also observed the dominance of the red-orange color of the eyes (71.56%) over the yellow color (20%) and the less represented brown-black colorations (8.38%).
3.5. Mumps Coloration According to Locality and Sex
Table 5
shows the distribution of mumps color.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 5. Distribution of mumps color according to locality and sex.
Localities
Mumps Coloration
Pink
White
Red
Blak
Red-Whit
Total
n
%
n
%
n
%
n
%
n
%
N
Doukoula
8
21.62
23
62.16
5
13.51
0
0
1
2.7
37
Dziguilao
13
32.5
18
45
6
15
0
0
3
7.5
40
Guidiguis
16
33.33
12
25
14
29.17
3
6.25
3
6.25
48
Maroua 3
15
44.12
4
11.76
13
38.24
0
0
2
5.88
34
Meri
22
53.66
9
21.95
10
24.39
0
0
0
0
41
Yagoua
9
22.5
20
50
11
27.5
0
0
0
0
40
t.c.
**
Sex
Female
67
38.95
71
41.28
23
13.37
2
1.16
9
5.23
172
Male
16
23.53
15
22.06
36
52.94
1
1.47
0
0
68
Total
83
34.6
86
35.83
59
24.6
3
1.30
9
3.75
240
t.c.
**
n: Number; %: Frequency; t.c.: contingency test; **: significant (p < 0.01); *: not significant p > 0.01.
As for the coloration of the mumps (
Table 5
), we observe the dominance of White (35.83%), followed by pink (34.6%) and red (24.6%). The least representative colorations are black (1.30%) and red-white (3.75%). Depending on the sex, we note the very dominant White colorations (41.28%) in females, against (22.06%) in males. On the other hand, red mumps (52.94%) predominate in males against (13.24%) in females (
Figure A6
). These observations corroborate on the one hand with the results of Messabhia
[11]
, who highlights three colors: white, orange and red. However, he observes that the red color is dominant with percentages of 96.7%, 70% and 76.7% for the populations of three localities studied in Ivory Coast. On the other hand, orange-colored mumps are totally absent in our study. According to Cabarles et al.
[20]
, the variations observed in the color of mumps result from the adaptation of different populations to their various ecosystems.
3.6. Skin and Tarsi Coloration According to Locality and Sex
Table 6
shows the distribution of skin and tarsi color according to locality and sex.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 6. Distribution of skin and tarsi color according to locality and sex.
Localities
Skin Color
Tarsi Color
Pink
Whit
Black
Whit
Ash
Yellow
Black
Yellow-Grenish
Total
n
%
n
%
n
%
n
%
n
%
n
%
n
%
n
%
N
Doukoula
5
13.51
30
81.08
2
5.40
20
54.1
5
13.51
5
13.51
7
18.92
0
0
37
Dziguilao
7
17.5
30
75.00
3
7.50
21
52.5
8
20
6
15.00
5
12.5
0
0
40
Guidiguis
8
16.66
38
79.16
2
4.16
22
45.8
3
6.25
13
27.08
9
18.75
1
2.08
48
Maroua 3
1
2.94
30
88.23
3
8.82
16
47.1
2
5.882
0
0.00
16
47.06
0
0
34
Meri
5
12.2
31
75.60
5
12.19
10
24.4
5
12.2
0
0.00
26
63.41
0
0
41
Yagoua
5
12.50
29
72.50
6
15.00
16
40
10
25
0
0.00
14
35
0
0
40
Total
31
12.91
188
78.33
21
8.75
105
43.8
33
13.75
24
10.00
77
32.08
1
0.42
240
Sex
Female
20
11.62
143
83.13
13
7.55
72
41.9
18
10.47
14
8.14
68
39.53
0
0
172
Male
11
16.17
45
66.17
8
11.76
33
48.5
15
22.06
10
14.71
9
13.24
1
1.47
68
Total
31
12.91
188
78.33
21
8.75
105
43.8
33
13.75
24
10.00
76
31.67
1.00
0.42
240
t.c.
*
**
n: Number; %: Frequency; t.c.: contingency test; **: significant (p < 0.01); *: not significant p > 0.01. The contingency test (p < 0.01) reveals that the coloration of the tarsi is influenced by the locality and the sex, unlike the coloration of the skin (p > 0.01) which is not linked to the locality or the sex.
Concerning the coloration of the skin (
Table 6
), it is dominated by white with 78.33%, followed by the pink coloration (12.91%) and black-ash (8.75%). We also note in females 83.13% of white skin against 66.17% in males. These results coincide with those of Sarker et al.
[15]
and Moula et al.
[21]
, who observed white and pink skins with a good dominance of white skin. Also, pink skin was observed at high frequency in the study conducted by Duguma
[22]
. Subjects with yellow skins were not observed in the local chicken population unlike the work of Mahammi et al.
[10]
conducted in Western Algeria. On the other hand, the work of Dao et al.
[23]
indicates 76% of white skin and 23.9% of yellow skin observed in chickens.
Furthermore, observations on the colorations of the tarsi (
Figure A5
) indicate percentages respectively of: (43.8%) white and (31.67%) black. The ash (13.75%) and yellow (10.0%) colorations are weakly observed. On the other hand, the yellow-greenish coloration (0.4%) is a rarity in the local chicken population. Depending on the sex, the white coloration in females is of the order of 41.9% against 48.5% in males; the ash coloration comes with 10.47% in females and 22.06% in males; and black appears at a frequency of 39.53% in females and 13.24% in males. The results obtained by Moreda et al.
[24]
and Sarker et al.
[15]
corroborate these observations which mention the tarsi of white, yellow, black, and green color but, the dominant color is the white followed by the yellow. However, Getu et al.
[25]
also noted the tarsi of white, yellow, black, green and gray color. The dominant colors are yellow and white.
3.7. Format Type by Location and Gender
Table 7
shows the distribution of format type by locality and gender.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 7. Distribution of format type by locality and sex.
Localities
Large
Medium
Small
Total
n
%
n
%
N
%
N
Doukoula
2
5.40
30
81.10
5
13.5
37
Dziguilao
1
2.50
34
85.00
5
13.00
40
Guidiguis
4
8.33
42
87.50
2
4.16
48
Maroua 3
0
0.00
30
88.00
4
12.00
34
Meri
2
4.88
39
95.10
0
0.00
41
Yagoua
0
0.00
33
82.50
7
17.50
40
Total
9
3.75
208
86.66
23
9.58
240
Sex
Female
0
0.00
153
89.00
19
11.10
172
Male
9
13.23
55
80.88
4
5.88
68
Total
9
11.22
208
69.88
23
16.98
240
t.c.
**.
n: Number; %: Frequency; t.c: contingency test; **: significant (p < 0.01). The contingency test (p < 0.01) indicates an influence of the locality and sex on the type of format of local chicken populations.
In terms of chicken format (
Table 7
), it emerges from all the localities that: medium-sized chickens are dominant in the local chicken population with a frequency of 86.66% against 3.75% for large format and 9.58% for dwarf or small format. Sexual dimorphism shows that on all the females observed, the frequency of large format chickens is zero. Furthermore, compared between the localities, Guidiguis is distinguished by a higher frequency of large format subjects (8.33%). Also, in the localities of Meri, Doukoula and Dziguilao, large chickens are respectively 4.88%, 2.41% and 2.5%. The localities of Maroua 3 and Yagoua stand out on the other hand by the absence (0.0%) of large chickens. Medium-sized subjects are more represented in the localities of Maroua 3 (88%), Guidiguis (87.5%) and Meri (95.1%). It is also noted that the locality of Yagoua has a high frequency of small-sized subjects (17.5%). The good representativeness of local medium-sized hens would be due to the selective choices of breeders who keep very few dwarf hens whose market value is low on the local market. These observations are similar to those noted by Dao et al.
[22]
who indicate that birds from the Dry Savannah have a larger size and weight than those from other areas. The size and weight of birds decrease along a north-south gradient. This work corroborates those of Fotsa et al.
[26]
following experiments carried out on local ecotypes from the North-West, West, Center and South Cameroon in comparison with commercial strains of the label type. However, the presence of Dwarfism phenotypes appears to be much higher (11.10% in females) and (5.88% in males) compared to observations made in southern Cameroon (2.13% in females) and (2.04% in males). Indeed, many breeders believe that the Dwarf genetic type (small chicken) stands out for its quality as a good mother hen in a straying system that is extremely exposed to predators and extreme weather.
3.8. Feathering Type According to Locality and Sex
Table 8
illustrates the distribution of feathering type according to locality and sex.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 8. Distribution of feathering type according to locality and sex.
Localities
Curly
Smooth
Smooth-Crested
Total
n
%
N
%
N
%
N
Doukoula
0
0
37
100
0
0
37
Dziguilao
0
0
39
97.5
1
2.5
40
Guidiguis
2
4.17
48
100
0
0
48
Maroua 3
0
0
32
94.12
0
0
34
Meri
0
0
37
90.24
4
9.76
41
Yagoua
0
0
40
100
0
0
40
Sex
Female
2
1.16
165
95.93
5
2.91
172
Male
0
0
68
100
0
0
68
Total
2
0.83
233
97.08
5
2.08
240
t.c.
*
n: Number; %: Frequency; N: Total number; t.c.: contingency test; *: not significant p > 0.01. The contingency test (p > 0.01) indicates that there is no link between the type of feathering of the local chicken population, sex and locality.
In
Table 8
, the observed population feathering also indicates that: the “Smooth-uniform” type predominates with 97.8% of which: 95.93% in females and 100% in males; the “Smooth-crested” and “Curly-uniform” types exist very little with 2.08% and 0.83% each respectively. In addition, the “Smooth-crested” (2.91%) and “Curly-uniform” (1.16%) types are weakly represented in females. However, in males, these types of feathering were not observed. These results are similar to those of Haoua et al.
[13]
where, it is observed in local hens a dominance of the Smooth-uniform feathering type (87.18%) and a low proportion of the crested (4.48%) and curly (2.38%) types. On the other hand, the naked-neck feathering type (4.13%) appears. Also, Duguma
[22]
refers to the naked neck type which allows better resistance to heat and a low protein requirement for feather production.
3.9. Ridge Type by Locality and Sex
Table 9
shows the distribution of ridge type by locality and sex.
<xref ref-type="bibr" rid="scirp.138750-"></xref>Table 9. Distribution of ridge type by locality and sex.
Localities
Rosy Comb
Single Comb
Total
n
%
N
%
N
Doukoula
3
8.11
34
91.89
37
Dziguilao
2
5
38
95
40
Guidiguis
1
2.08
47
97.92
48
Maroua 3
2
5.88
32
94.12
34
Meri
4
9.76
37
90.24
41
Yagoua
7
17.5
33
82.5
40
Total
19
7.92
221
92.08
240
Sex
Female
16
9.30
156
90.70
172
Male
3
4.41
65
95.59
68
Total
19
7.92
221
92.08
240
t.c.
*
n: Number; %: Frequency; t.c.: contingency test; *: not significant (p > 0.01). The contingency test (p > 0.01) shows that sex and locality do not influence the type of comb of local chicken populations.
As for the types of combs (
Table 9
), the “Single comb” type (92%) largely dominates compared to the “Rosy comb” type (9.30%). Although it is poorly represented in the localities; the rosy comb type in females is better represented (9.30%) compared to its frequency in males (4.41%). On the other hand, the single comb type is slightly higher in males (95.59%) than in females (90.70%). These results corroborate those obtained by Aklilu et al.
[27]
; Moreda et al.
[24]
illustrating the dominance of the simple comb type. Also, Moula et al.
[21]
observed three types of comb in the Kabyle hen in Algeria: the single comb type; the double comb type and the triple comb type, with a predominance of the single comb type (93%). Similarly, the observations of Moula et al.
[17]
on local hens in Algeria, Vietnam and the Democratic Republic of the Congo showed three types of comb, of which the single type predominates with 85% and the pea and double types are rarer.
4. Conclusion and Perspectives
At the end of this study, which was carried out in the main breeding basins of local chickens in the Far North Region of Cameroon, it appears that the genetic material in family farms is distinguished by a significant phenotypic variation attributable to visible genes. Despite the high exposure to the difficult environments in which they evolve, the rich genetic diversity seems to evolve in an anarchic manner. The description of qualitative characteristics illustrates a strong variability of colorations. The White-Pie-Black and thousand flower plumages, the red wattles and crests, the white defects and skin are all dominant. The “Smooth-uniform” feathering and the medium format type are also dominant. These observations give this population of local chickens an important socio-economic, cultural and ritual place. Furthermore, this diversity appears highly conducive to the reconstitution of livestock in family farms impacted by recurring epidemiological incidences. Thus, the biodiversity observed within the local chicken population suggests possibilities for preservation and genetic improvement through recommended selection and/or crossbreeding methods. Biometric, zootechnical and molecular characterization studies would be necessary to better observe genetic types and performances in controlled environments and better assess diversity at the genome level of local chickens.
Appendix: Phenotype Observed in Local Chicken Populations from Different Breeding Areas in the Far North Region of Cameroon
Figure A1. Types of feathering coloring from local chicken breeding.
Figure A2. Type of comb coloring from local chicken breeding.
Figure A3. Type of beak coloring from local chicken breeding.
Figure A4. Type of eyelobe coloring from local chicken breeding.
Figure A5. Type of tarsi coloring from local chicken breeding.
Figure A6. Type of mumps coloring from local chicken breeding.
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